#T-SQL examples

[thedbahub]

Optimizing SQL Server with the Delayed Start

In today’s fast-paced IT environment, optimizing SQL Server performance and startup times is crucial for maintaining system efficiency and ensuring that resources are available when needed. One valuable, yet often overlooked, feature is the SQL Server services delayed start option. This configuration can significantly enhance your server’s operational flexibility, particularly in environments…

[umarblog1]

How to Crack Interviews After a Data Analytics Course in Delhi

Data Analytics is one of the most in-demand career paths today. With the rise of digital businesses, data is everywhere. Companies need skilled professionals to analyze that data and make smart decisions. If you’ve just completed a Data Analytics Course in Delhi from Uncodemy, congratulations! You’re now ready to take the next big step—cracking job interviews.

In this article, we will guide you through everything you need to know to prepare, practice, and confidently face data analytics interviews. Whether you're a fresher or someone switching careers, this guide is for you.

1. Understand What Interviewers Are Looking For

Before you sit for an interview, it’s important to know what the employer wants. In a data analytics role, most companies look for candidates who have:

Good problem-solving skills

Strong knowledge of Excel, SQL, Python, or R

Understanding of data visualization tools like Power BI or Tableau

Clear thinking and logical reasoning

Communication skills to explain data findings in simple terms

Employers want someone who can take raw data and turn it into useful insights. That means they need you to not just be good with tools but also think like a business person.

2. Build a Strong Resume

Your resume is the first thing an interviewer will see. A good resume increases your chances of getting shortlisted. Here’s how to make your resume stand out:

Keep it simple and clear:

Use bullet points

Highlight your skills, tools you know, and projects you’ve done

Focus on your data analytics skills:

Mention your knowledge in Excel, SQL, Python, Tableau, etc.

Add details about real projects or case studies you completed during the course

Include a summary at the top:

Example: “Certified Data Analytics Professional from Uncodemy with hands-on experience in SQL, Excel, and Tableau. Strong analytical skills with a passion for solving business problems using data.”

3. Practice Common Data Analytics Interview Questions

Here are some common questions you might be asked:

a. Technical Questions:

What is data cleaning?

How would you handle missing data?

What is the difference between clustered and non-clustered indexes in SQL?

How do you join two tables in SQL?

What is the difference between inner join and left join?

b. Scenario-Based Questions:

How would you help a sales team improve performance using data?

Imagine your dataset has 10% missing values. What will you do?

You found outliers in the data—what steps would you take?

c. Tools-Based Questions:

Show how to use a pivot table in Excel.

How would you create a dashboard in Tableau?

Write a Python code to find the average value of a column.

d. HR Questions:

Tell me about yourself.

Why did you choose data analytics?

Where do you see yourself in 5 years?

Practice these questions with a friend or in front of a mirror. Be confident, calm, and clear with your answers.

4. Work on Real-Time Projects

Employers love candidates who have done practical work. At Uncodemy, you may have worked on some real-time projects during your course. Be ready to talk about them in detail:

What was the project about?

What tools did you use?

What challenges did you face, and how did you solve them?

What insights did you discover?

Make sure you can explain your project like you’re telling a simple story. Use plain words—avoid too much technical jargon unless the interviewer asks.

5. Improve Your Communication Skills

Data analytics is not just about coding. You need to explain your findings in simple terms to people who don’t understand data—like managers, marketers, or sales teams.

Practice explaining:

What a graph shows

What a number means

Why a pattern in data is important

You can practice by explaining your projects to friends or family members who don’t come from a tech background.

6. Create a Portfolio

A portfolio is a great way to show your skills. It’s like an online resume that includes:

A short bio about you

Tools and skills you know

Links to your projects

Screenshots of dashboards or charts you’ve made

GitHub link (if you have code)

You can create a free portfolio using websites like GitHub, WordPress, or even a simple PDF.

7. Learn About the Company

Before your interview, always research the company. Visit their website, read about their products, services, and recent news. Try to understand what kind of data they might use.

If it's an e-commerce company, think about sales, customer data, and inventory. If it’s a finance company, think about transactions, risk analysis, and customer behavior.

Knowing about the company helps you give better answers and shows that you’re serious about the job.

8. Ask Smart Questions

At the end of most interviews, the interviewer will ask, “Do you have any questions for us?”

Always say yes!

Here are some good questions you can ask:

What kind of data projects does the team work on?

What tools do you use most often?

What are the biggest challenges your data team is facing?

How do you measure success in this role?

These questions show that you are curious, thoughtful, and serious about the role.

9. Stay Updated with Trends

Data analytics is a fast-changing field. New tools, techniques, and trends come up regularly.

Follow blogs, LinkedIn pages, YouTube channels, and news related to data analytics. Stay updated on topics like:

Artificial Intelligence (AI) and Machine Learning (ML)

Big Data

Data privacy laws

Business Intelligence trends

Being aware of current trends shows that you're passionate and committed to learning.

10. Join Communities and Networking Events

Sometimes, jobs don’t come from job portals—they come from people you know.

Join LinkedIn groups, attend webinars, career fairs, and workshops in Delhi. Connect with other data analysts. You might get job referrals, interview tips, or mentorship.

Uncodemy often conducts webinars and alumni meetups—don’t miss those events!

11. Practice Mock Interviews

Doing a few mock interviews will make a big difference. Ask a friend, mentor, or trainer from Uncodemy to help you with mock sessions.

You can also record yourself and check:

Are you speaking clearly?

Are you too fast or too slow?

Do you use filler words like “umm” or “like” too much?

The more you practice, the better you get.

12. Keep Learning

Even after finishing your course, continue to build your skills. Learn new tools, do mini-projects, and take free online courses on platforms like:

Coursera

edX

Kaggle

YouTube tutorials

Your learning journey doesn’t stop with a course. Keep growing.

Final Words from Uncodemy

Cracking a data analytics interview is not just about technical skills—it’s about being confident, clear, and curious. At Uncodemy, we aim to not just teach you the tools but also prepare you for the real world.

If you’ve taken our Data Analytics course in delhi, remember:

Practice interview questions

Build your resume and portfolio

Work on projects

Stay updated and keep learning

Don’t worry if you don’t get selected in your first few interviews. Every interview is a learning experience. Stay motivated, stay focused, and success will follow.

Good luck! Your dream data analytics job is waiting for you.

[kandztuts]

Linux CLI 55 🐧 shell scripts output text

New Post has been published on https://tuts.kandz.me/linux-cli-55-%f0%9f%90%a7-shell-scripts-output-text/

Linux CLI 55 🐧 shell scripts output text

a - echo in shell scripts echo command in shell scripting is a fundamental tool for outputting text or variables echo "Hello, World!" → prints Hello World echo $greeting → prints the content of $greeting variable you can use escape characters as well echo "This is a newline:\nAnd this is a tab:\t." → using tab escape character -n option avoids new line echo -n "Hello, " → avoids new line b - printf and here document in shell scripts printf offers more precise control over the output format printf "Name: %s\nAge: %d\n" "$name" "$age" → formating text with printf printf "%.2f\n" "$number" → Output will be "123.46" Here documents are a way to pass multi-line text input into commands or scripts. This is particularly useful for passing large blocks of text or SQL queries. example 1 → multiline example example 2 → use of variables example

[nikhilvaidyahrc]

How to crack the interviews: Behavioural vs. Technical Interviews in 2025

Published by Prism HRC – Empowering Job Seekers with Modern Interview Mastery

The interview process in 2025 recruitment demands candidates to show both their suitable mindset alongside their necessary competencies as well as cultural compatibility. Companies across the globe and throughout India work to develop responsive teams of tomorrow while interviews become strict, analytical, and multifaceted assessment measures.

Our position as India’s top job consulting agency based in Borivali West Mumbai at Prism HRC has proven the value of training candidates in behavioural and technical interview skills to boost job placement success. Our success has resulted in more than 10,000+ placements combined with our partnerships with leading companies Amazon, Deloitte, and Infosys which has prepared candidates from multiple industries to master both behavioural and technical interview approaches.

Understanding the Two Sides of the Interview Coin

Technical interviews focus on hard skills—your ability to do the job based on your domain knowledge, problem-solving skills, and hands-on proficiency.

Behavioural interviews explore soft skills—how you communicate, work in teams, manage conflict, handle stress, and align with company values.

Why Both Matter in 2025

T-shaped professionals who possess deep technical skills together with broad interpersonal competence have become the standard requirement for recruiters during role selections. We teach candidates to simultaneously thrive in both specialized capabilities and general abilities so they can shine during job market competitions.

The Rise of Behavioural Interviews: What They Reveal

Behavioural questions are designed to predict future performance based on past behaviour.

Common Examples:

Tell me about a time you overcame a major challenge at work.

Describe a situation where you had to collaborate with a difficult colleague.

How do you manage deadlines under pressure?

What Employers Are Looking For:

Emotional intelligence

Self-awareness and adaptability

Conflict resolution and leadership potential

Our Tip:

Use the STAR method—Situation, Task, Action, Result—to answer every behavioural question clearly and impactfully.

The Role of Technical Interviews in 2025

Especially in fields like IT, health tech, engineering, and finance, technical interviews remain a critical filter.

Key Areas Covered:

Coding and algorithmic problem solving

Case study analysis

Domain-specific tool proficiency (e.g., Excel, SQL, Python, Tableau)

Situational decision-making

Prism HRC Advantage:

We conduct mock technical rounds, aptitude tests, and real-time coding simulations for IT job seekers—making us the best IT job recruitment agency in Mumbai.

Ananya’s Journey from Confusion to Confidence

Although skilled in technical engineering, Ananya from Pune had trouble during behavioural interviews. Through the 1:1 interview simulation program, she gained skills to organize interview responses and interpret organizational values with clear achievements presentation. Ananya currently works as a project analyst at a global manufacturing firm due to Prism's interview preparation program.

Interview Trends in 2025: What You Should Expect

AI-powered screening tools that assess eye movement, tone, and speech

Case-based behavioural questions that blend soft and hard skills

Remote interviews via platforms like Zoom or MS Teams

Gamified assessments for entry-level tech and marketing roles

We keep you prepared by integrating these trends into our interview training modules.

Why Interview Coaching with Prism HRC Works

Customized feedback based on industry and role

Video recordings to review body language and communication

Industry-specific HR simulations

Access to mentors working in Amazon, Infosys, Deloitte, TCS

Whether you're applying for a software role or a brand strategy position, we have tailored solutions that elevate your interview readiness.

It’s not just an interview. It’s your moment.

You can find your future job opportunities through interviews which provide access to developmental possibilities and meaningful professional goals. Don’t walk in unprepared. Prism HRC stands as the best recruitment agency in Mumbai where we teach candidates to excel at behavioural assessments along with technical topics through comprehensive knowledge and skill development programs.

Visit www.prismhrc.com - Based in Gorai-2, Borivali West, Mumbai - Follow us on Instagram: @jobssimplified - Connect with us on LinkedIn: Prism HRC

[seodigital7]

Top Data Analysis Methods in 2025: A Complete Guide for Beginners and Professionals

🚀 Introduction: Why Data Analysis Methods Matter Today

We live in a world overflowing with data—from social media stats and website clicks to sales transactions and customer feedback. But raw data alone is meaningless. It’s only through the use of data analysis methods that we can extract actionable insights and make informed decisions.

Whether you’re a business owner, student, analyst, or entrepreneur, understanding data analysis methods is no longer optional—it’s essential.

In this article, we’ll explore the most widely used data analysis methods, their benefits, tools, use cases, expert opinions, and FAQs—all written in a human-friendly, easy-to-understand tone.

🔍 What Are Data Analysis Methods?

Data analysis methods are systematic approaches used to examine, transform, and interpret data to discover patterns, trends, and insights. These methods range from simple descriptive statistics to complex predictive algorithms.

By using the right method, businesses and analysts can:

📈 Identify trends

💡 Solve business problems

🔮 Forecast future outcomes

🎯 Improve performance

📘 Types of Data Analysis Methods

Here’s a detailed breakdown of the major types of data analysis methods you should know in 2025:

1. Descriptive Analysis

Goal: Summarize historical data to understand what has happened. Example: Monthly revenue report, user growth trends.

Techniques Used:

Mean, median, mode

Frequency distribution

Data visualization (charts, graphs)

Best Tools: Excel, Tableau, Google Data Studio

2. Exploratory Data Analysis (EDA)

Goal: Explore the dataset to uncover initial patterns, detect outliers, and identify relationships. Example: Discovering patterns in customer purchase history.

Techniques Used:

Box plots, scatter plots, heat maps

Correlation matrix

Data cleaning

Best Tools: Python (Pandas, Matplotlib), R, Power BI

3. Inferential Analysis

Goal: Make predictions or generalizations about a larger population based on sample data. Example: Predicting election results based on sample polling.

Techniques Used:

Hypothesis testing

Confidence intervals

T-tests, chi-square tests

Best Tools: SPSS, R, Python (SciPy)

4. Diagnostic Analysis

Goal: Determine the causes of a past event or outcome. Example: Why did the bounce rate increase last month?

Techniques Used:

Root cause analysis

Regression analysis

Data mining

Best Tools: SQL, Power BI, SAS

5. Predictive Analysis

Goal: Forecast future outcomes based on historical data. Example: Predicting next month’s sales based on seasonal trends.

Techniques Used:

Machine learning (decision trees, random forest)

Time series analysis

Neural networks

Best Tools: Python (Scikit-learn, TensorFlow), IBM Watson

6. Prescriptive Analysis

Goal: Recommend actions based on predicted outcomes. Example: Suggesting product pricing for maximum profitability.

Techniques Used:

Optimization

Simulation modeling

Decision trees

Best Tools: MATLAB, Excel Solver, Gurobi

7. Quantitative Analysis

Goal: Focus on numerical data to understand trends and measure outcomes. Example: Measuring website conversion rates.

Techniques Used:

Statistical modeling

Data aggregation

Regression

8. Qualitative Analysis

Goal: Analyze non-numerical data like text, images, or videos. Example: Analyzing customer reviews or survey responses.

Techniques Used:

Sentiment analysis

Thematic coding

Content analysis

Best Tools: NVivo, Lexalytics, Google NLP API

💼 Use Cases of Data Analysis Methods in the Real World

Here’s how businesses use these methods across industries:

🛍 Retail

Method Used: Predictive & diagnostic

Purpose: Forecast demand, understand sales dips

💳 Banking

Method Used: Inferential & prescriptive

Purpose: Detect fraud, assess risk

🏥 Healthcare

Method Used: Diagnostic & descriptive

Purpose: Patient outcome analysis, treatment optimization

📱 Tech Companies

Method Used: Exploratory & predictive

Purpose: App usage patterns, churn prediction

🛠 Best Tools for Applying Data Analysis Methods

Tool NameKey FeaturesSuitable ForExcelCharts, pivot tables, formulasBeginnersPythonML, EDA, statistical analysisIntermediate to ExpertR LanguageStatistical modeling, data visualizationIntermediateTableauVisual dashboardsBusiness analystsPower BIIntegration with Microsoft appsEnterprisesSQLQuerying large datasetsData engineers

🌟 Real Reviews From Experts

“I started with Excel for simple descriptive analysis and gradually moved to Python for predictive modeling. The transition was smoother than I expected.” – Neha D., Data Analyst at a Startup

“We used prescriptive methods in Power BI to optimize our logistics routes. Saved us 20% in transport costs within three months.” – Arjun K., Supply Chain Manager

“Using EDA methods helped us detect user drop-off points in our app, which we quickly fixed.” – Priya S., UX Designer

📌 Step-by-Step Guide to Choosing the Right Data Analysis Method

Define Your Objective: What do you want to find out?

Identify Data Type: Is it qualitative or quantitative?

Choose Your Tool: Based on your team’s skill level.

Clean the Data: Remove duplicates, null values, outliers.

Apply the Method: Use the appropriate model/technique.

Visualize & Interpret: Create charts to simplify interpretation.

Take Action: Use insights to make data-driven decisions.

❓ Frequently Asked Questions (FAQs)

🔹 Q1. What is the difference between data analysis methods and data analysis techniques?

A: Methods refer to the broad approach (e.g., descriptive, predictive), while techniques are specific tools or processes (e.g., regression, clustering).

🔹 Q2. Which data analysis method should I use as a beginner?

A: Start with descriptive and exploratory analysis. These are easy to learn and highly insightful.

🔹 Q3. Do I need coding skills to use these methods?

A: Not always. Tools like Excel, Tableau, and Power BI require minimal to no coding. For advanced analysis (e.g., machine learning), coding helps.

🔹 Q4. Can I use multiple methods in one project?

A: Absolutely! Many real-world projects use a combination of methods for deeper insights.

🔹 Q5. Which is the most powerful data analysis method?

A: That depends on your goal. For forecasting, predictive analysis is powerful. For decision-making, prescriptive analysis works best.

🧠 Tips to Master Data Analysis Methods in 2025

📝 Take online courses (Coursera, Udemy, DataCamp)

💻 Practice with real datasets (Kaggle, Google Dataset Search)

🧮 Understand the math behind techniques

📊 Visualize findings to communicate better

👥 Collaborate with other analysts and teams

✅ Conclusion: Your Data, Your Power

Data is no longer just for analysts or IT professionals. In 2025, knowing how to use data analysis methods can set you apart in virtually any profession. From optimizing marketing campaigns to launching new products, these methods empower you to make data-driven decisions with confidence.

So whether you’re just starting out or looking to level up, keep experimenting, keep analyzing, and let your data tell the story.

🌐 Read more expert data analysis content at diglip7.com 📩 Have questions? Drop a comment or connect with us for consultation.

[cardriocanine]

Why are you going to a b&t rather than training your dog yourself?

This is an excellent question.

For his basic training commands, I have done all of those here at home, and he's done remarkably well with them. Now that we're starting to move into the more intermediate and advanced training, I want to be sure he is getting the best and clearest training I can provide to him. That, paired with the frequency of my medical episodes these past few weeks, is why I decided to have someone that is better skilled, trained, and certified do his more advanced training.

In doing his training myself, some items are more trial and error, or a learning curve for us both. I don't mind that, and he seems to genuinely enjoy our training sessions at home, but it means that his progress will be at a slower pace than with a professional.

I kind of think about it like my own training for software engineering. I went to school and got a degree in that field. A few years after I had graduated, I needed to learn a new technology and a few additional programming languages, so I learned those on my own. While I was successful in my self-taught education, it was at a much slower pace than my formal education. Part of that was an available-time issue (in school, I had set aside hours a day to learning, whereas when I did it on my own, the education had to compete with time for work, house stuff like cooking and cleaning, and other distractions) and part of that was because I had to search around for the right way to do things as opposed to having a professor in front of me that I could leverage for additional information, answers to my questions, and rubber-ducking things off of. There was also the fact that I didn't know all the things I didn't know.

SQL, for example, was a completely different syntax and environment, and even usage than I was used to (C++, VB, etc). I bought books and watched videos and researched online, but for quite a few things, I found them either by accident while reading up on something else, or after I was done 'learning' and was using it and came across something. It wasn't as focused as my schooling was, and it was more fragmented.

It seems similar to how training goes at home vs. with a pro. The pro already has a wealth of knowledge they can draw on, and has honed their skills over the years they've done advanced dog training.

So I guess in a nutshell, keeping my overall goal in mind (Onyx as my service dog to improve my quality of life and potentially save my life); speed and skill are really the main factors to why I chose to do a B&T.

There are cons to it too, of course. I don't get to see my baby for 4 weeks, my anxiety, the cost... but he already knows the environment and the trainer, and the pros just seem to outweigh the cons in this situation.

Thank you for your question, Anon, and please do feel free to comment if you have further thoughts or questions on the matter.

[shoshanews]

1. Regional Technical Manager l Expression of Interest t l G4S Secure Solutions South Africa Location: North West | Salary: Market Related | Posted: 18 Mar 2025 | Closes: 25 Mar 2025 | Job Type: Full Time and Permanent | Business Unit: South Africa - Secure Solutions | Region / Division: Sub-Saharan Africa | Reference: Regional Technical Manager l North WestApply now Remuneration and benefits will be commensurate with the seniority of the role and in compliance with company remuneration policy and practice.  Job Introduction: Vacancy: Regional Technical Manager: Expression of Interest  We are currently seeking interest for a Regional Technical Manager based in North West, reporting to the National Operations Manager. The Regional Technical Manager is responsible for managing technology for the specified region, which includes but not limited to; ad-hoc and routine maintenance, installation projects and sales & profitability. If you have a proven track record in the above mentioned field and have the ambition and tenacity to succeed in a dynamic environment, please register your CV with us as part of our talent pipeline. Kindly note, by registering your details (for this talent pool role) you indicate your interest in a possible, future relevant role within G4S South Africa. The position requires at least 3 years management experience within a related industry; preference will be given to individuals with Electronic Security Services Management experience.  Role Responsibility: Effective management of the technology contract financial performance - Manage profitability of contracts with a focus on maintenance, sustainability, cost effectiveness and labour. - Initiate cost saving model and controlsGross Margin Management - Overheads control - Contract profitability - Ensuring that claims against the Company are prevented or minimized through regular customer risk assessments. - Existing Revenue GrowthManage the contract cash flow and oversight of invoice documentation and accuracy of information. Effective management of staff  - Effective Organisation - Staff turnover analysis, proper allocation of staff to work flow and job requirements. - Liaison with sub-contractors re installation requirements - Development - Succession Planning and Employment Equity - Attendance of subordinates at scheduled training interventions, meeting of employment equity goals, succession planning. - Staff motivation levels - Ensuring that performance assessments of all subordinate employees are conducted, and corrective action implemented where necessary. - Ensuring that acceptable standards of behaviour at work are maintained by all subordinate employees, as required by G4S’s code of conduct and disciplinary code. - Ensuring that all disciplinary actions are conducted in compliance with Company policies and procedures. Effective management of operations  - Managing the Maintenance/Project process flow and activities that has a direct/indirect impact on the outcome and success of contract - Client retention and customer service levels - Ensuring that all required formal customer meeting are scheduled, attended and minuted. - Maintenance of positive customer relationships - Quality Management/Ops Process management – adherence to quality standard - Conduct and oversee quality controls and inspections (including sub contractors) - Shared Best Practice - Specific examples of implementation of BP from other regions Effective management of business development function  - New business development - Identifying new business opportunities in the region’s sphere of operations, as well as in terms of growth of business with existing customers. - Competitors evaluations - Demonstrate a thorough understanding of the competitor environment faced by the region.  The Ideal Candidate: - Electronic Security Services Management (3yrs – Management or similar) - Basic understanding and working knowlegdge of:                                     Database implementation - Microsoft SQL and Interbase/Firebird - Extensive experience and good understanding w.r.t. implementation of the following systems: - CCTV - Access Control - Alarm Systems - Experience in Sales of Corporate (Large) Projects - Control Room Service experience - Financial Management - Software Knowledge Level - Broad knowledge of Time and Attendance - Broad knowledge of Access Control - Broad knowledge of CCTV - Strong knowledge base on communication protocols i.e. TCP/IP - Hardware Knowledge Level - Time and Attendance hardware - Access Control Hardware - CCTV - Alarms - Electric Fencing - Gate Motors - Intercoms - PA Systems - Strong knowledge base on communication protocol wiring i.e. CAT5  2. Regional Technical Manager l Expression of Interest l KwaZulu Natal l G4S Secure Solutions SA Location: KwaZulu Natal | Salary: Market Related | Posted: 18 Mar 2025 | Closes: 25 Mar 2025 | Job Type: Full Time and Permanent | Business Unit: South Africa - Secure Solutions | Region / Division: Sub-Saharan Africa | Reference: Regional Technical Manager l KwaZulu NatalApply now Remuneration and benefits will be commensurate with the seniority of the role and in compliance with company remuneration policy and practice.  Job Introduction: acancy: Regional Technical Manager: Expression of Interest  We are currently seeking interest for a Regional Technical Manager based in KwaZulu Natal, reporting to the National Operations Manager. The Regional Technical Manager is responsible for managing technology for the specified region, which includes but not limited to; ad-hoc and routine maintenance, installation projects and sales & profitability. If you have a proven track record in the above mentioned field and have the ambition and tenacity to succeed in a dynamic environment, please register your CV with us as part of our talent pipeline. Kindly note, by registering your details (for this talent pool role) you indicate your interest in a possible, future relevant role within G4S South Africa. The position requires at least 3 years management experience within a related industry; preference will be given to individuals with Electronic Security Services Management experience.  Role Responsibility: Effective management of the technology contract financial performance - Manage profitability of contracts with a focus on maintenance, sustainability, cost effectiveness and labour. - Initiate cost saving model and controlsGross Margin Management - Overheads control - Contract profitability - Ensuring that claims against the Company are prevented or minimized through regular customer risk assessments. - Existing Revenue GrowthManage the contract cash flow and oversight of invoice documentation and accuracy of information Effective management of staff  - Effective Organisation - Staff turnover analysis, proper allocation of staff to work flow and job requirements. - Liaison with sub-contractors re installation requirements - Development - Succession Planning and Employment Equity - Attendance of subordinates at scheduled training interventions, meeting of employment equity goals, succession planning. - Staff motivation levels - Ensuring that performance assessments of all subordinate employees are conducted, and corrective action implemented where necessary. - Ensuring that acceptable standards of behaviour at work are maintained by all subordinate employees, as required by G4S’s code of conduct and disciplinary code. - Ensuring that all disciplinary actions are conducted in compliance with Company policies and procedures. Effective management of operations  - Managing the Maintenance/Project process flow and activities that has a direct/indirect impact on the outcome and success of contract - Client retention and customer service levels - Ensuring that all required formal customer meeting are scheduled, attended and minuted. - Maintenance of positive customer relationships - Quality Management/Ops Process management – adherence to quality standard - Conduct and oversee quality controls and inspections (including sub contractors) - Shared Best Practice - Specific examples of implementation of BP from other regions Effective management of business development function  - New business development - Identifying new business opportunities in the region’s sphere of operations, as well as in terms of growth of business with existing customers. - Competitors evaluations - Demonstrate a thorough understanding of the competitor environment faced by the region.  The Ideal Candidate: - Electronic Security Services Management (3yrs – Management or similar) - Basic understanding and working knowlegdge of:                                     Database implementation - Microsoft SQL and Interbase/Firebird - Extensive experience and good understanding w.r.t. implementation of the following systems: - CCTV - Access Control - Alarm Systems - Experience in Sales of Corporate (Large) Projects - Control Room Service experience - Financial Management - Software Knowledge Level - Broad knowledge of Time and Attendance - Broad knowledge of Access Control - Broad knowledge of CCTV - Strong knowledge base on communication protocols i.e. (TCP/IP) - Hardware Knowledge Level - Time and Attendance hardware - Access Control Hardware - CCTV - Alarms - Electric Fencing - Gate Motors - Intercoms - PA Systems - Strong knowledge base on communication protocol wiring i.e. CAT5. 3. Regional Technical Manager l Expression of Interest Location: Mpumalanga | Salary: Market Related | Posted: 18 Mar 2025 | Closes: 25 Mar 2025 | Job Type: Full Time and Permanent | Business Unit: South Africa - Secure Solutions | Region / Division: Sub-Saharan Africa | Reference: Regional Technical Manager l MpumalangaApply now Remuneration and benefits will be commensurate with the seniority of the role and in compliance with company remuneration policy and practice.  Job Introduction: Vacancy: Regional Technical Manager: Expression of Interest  We are currently seeking interest for a Regional Technical Manager based in Mpumalanga, reporting to the National Operations Manager. The Regional Technical Manager is responsible for managing technology for the specified region, which includes but not limited to; ad-hoc and routine maintenance, installation projects and sales & profitability. If you have a proven track record in the above mentioned field and have the ambition and tenacity to succeed in a dynamic environment, please register your CV with us as part of our talent pipeline. Kindly note, by registering your details (for this talent pool role) you indicate your interest in a possible, future relevant role within G4S South Africa. The position requires at least 3 years management experience within a related industry; preference will be given to individuals with Electronic Security Services Management experience.  Role Responsibility: Effective management of the technology contract financial performance - Manage profitability of contracts with a focus on maintenance, sustainability, cost effectiveness and labour. - Initiate cost saving model and controlsGross Margin Management - Overheads control - Contract profitability - Ensuring that claims against the Company are prevented or minimized through regular customer risk assessments. - Existing Revenue GrowthManage the contract cash flow and oversight of invoice documentation and accuracy of information Effective management of staff  - Effective Organisation - Staff turnover analysis, proper allocation of staff to work flow and job requirements. - Liaison with sub-contractors re installation requirements - Development - Succession Planning and Employment Equity - Attendance of subordinates at scheduled training interventions, meeting of employment equity goals, succession planning. - Staff motivation levels - Ensuring that performance assessments of all subordinate employees are conducted, and corrective action implemented where necessary. - Ensuring that acceptable standards of behaviour at work are maintained by all subordinate employees, as required by G4S’s code of conduct and disciplinary code. - Ensuring that all disciplinary actions are conducted in compliance with Company policies and procedures. Effective management of operations  - Managing the Maintenance/Project process flow and activities that has a direct/indirect impact on the outcome and success of contract - Client retention and customer service levels - Ensuring that all required formal customer meeting are scheduled, attended and minuted. - Maintenance of positive customer relationships - Quality Management/Ops Process management – adherence to quality standard - Conduct and oversee quality controls and inspections (including sub contractors) - Shared Best Practice - Specific examples of implementation of BP from other regions Effective management of business development function  - New business development - Identifying new business opportunities in the region’s sphere of operations, as well as in terms of growth of business with existing customers. - Competitors evaluations - Demonstrate a thorough understanding of the competitor environment faced by the region.  The Ideal Candidate: - Electronic Security Services Management (3yrs – Management or similar) - Basic understanding and working knowlegdge of:                                     Database implementation - Microsoft SQL and Interbase/Firebird - Extensive experience and good understanding w.r.t. implementation of the following systems: - CCTV - Access Control - Alarm Systems - Experience in Sales of Corporate (Large) Projects - Control Room Service experience - Financial Management - Software Knowledge Level - Broad knowledge of Time and Attendance - Broad knowledge of Access Control - Broad knowledge of CCTV - Strong knowledge base on communication protocols i.e. TCP/IP) - Hardware Knowledge Level - Time and Attendance hardware - Access Control Hardware - CCTV - Alarms - Electric Fencing - Gate Motors - Intercoms - PA Systems - Strong knowledge base on communication protocol wiring i.e. CAT5 ... 4. Warehouse Administrator- G4S Deposita - Midrand - South Africa Location: Midrand | Salary: Market related | Posted: 14 Mar 2025 | Closes: 18 Mar 2025 | Job Type: Full Time and Permanent | Business Unit: South Africa - Cash Solutions | Region / Division: Africa | Reference: G4S/TP/8008245/226678Apply now Remuneration and benefits will be commensurate with the seniority of the role and in compliance with company remuneration policy and practice. Job Introduction: Warehouse Administrator - G4S Deposita - Midrand- South Africa Deposita SA, a world renowned Cash Management Company Specializing in Smart Solutions For Banking, Retail & Wholesale Sectors has a vacancy for an Warehouse Administrator based at our Deposita operations in Midrand. Reporting to the Warehouse Manager, this role is responsible to manage and coordinate warehouse operations. The successful incumbent will be responsible for managing and coordinating stock, ensuring optimal stock levels and overseeing the supply chain Procedures including conducting audits and maintaining accurate records. Role Responsibility: 1. Maintain Stock : - Processing of Pastel on stock to Issue. - Processing of Stock to Production. - Processing of Stock to OPS. - Processing of BOM’s for device builds. - Consumable requirements. - Assist Team with ad hoc tasks. - Processing of Stock to Production. - Processing of BOM’s for device builds. - Ensuring all relevant procedures are followed. - Perform all aspects of stock handling (Ordering, receiving, matching documentation, packing, loading, offloading, maintaining, picking, issuing, capturing). - Accurate, efficient capturing and maintenance of the inventory management system. 2. Working Relationships: - Liaise with internal departments: Procurement, Production, Inception, Dispatch, OPS, Finance, & International. - Assist with Internal and External Audits. 3. Reporting: - Daily “Out of Stocks” on Dashboard. - Monthly Stocktakes.. - Feedback on production requirements or issues. 4. Legislation and Company Procedures: - Ensure adherence to ISO & Company policies & procedures. - Review standard processes and procedures and identify areas for improvement. - Initiate, coordinate and enforce optimal operational policies and procedures. - Adhere to all warehousing, handling and shipping legislation requirements. The Ideal Candidate: 1. Minimum qualification & Experience:  - Diploma or relevant certificate supply chain  will be an advantage. - A minimum of 3-5 years’ experience in a similar role. - Pastel Evolution.  - Computer Literate, Strong people skills and problem-solving abilities. - Detail-oriented. - Ability to develop and implement standard operating procedures. 2. Skills &  Attributes: - Knowledge of company policies and procedures. - Good understanding of Stock Control. - MS Office Computer skills.  - Excellent communication skills. - Pastel Evolution. - Ability to work under pressure. - Attention to detail. About the Company: Deposita, a leading cash and payments management company based in South Africa. We protect lives and livelihoods from the harmful, costly effects of money. With less handling, temptation, error and waste, you can be more efficient, more profitable, save more and trust more. For over a decade, we have perfected the art of cash management using world-class innovation, product development, manufacturing and implementation of technology to collect, handle, process, safeguard and dispense cash. We provide tailored end-to-end cash, self-service, and payment management solutions for our customers in retail, wholesale and banking sectors through in-depth consultations. We ensure every security need is met and exceeded every step of the way. We draw from extensive knowledge and experience to design and implement cash management solutions for businesses operating in a range of sectors around the world. Through in-depth consultations, we customize our state-of-the-art technology to meet our customers’ unique business needs and achieve results. Our devices run on our industry-leading, international accredited operating platform. Your device and financial information are as secure as money in the bank. You can also monitor your device and its transactions from anywhere – completely automating your cash flow. We even incorporate existing systems and partner with current security services providers to create the best possible solution.To ensure you get the most out of your device and cash management solution, you and your staff will receive thorough training at a location that suits you. Plus, we’ll provide you with customized operating manuals to meet your business’s specific requirements. For more information on Deposita, please visit: www.deposita.co.za 5. Accountant | G4S Secure Solutions | Centurion Location: Centurion | Salary: Market Related | Posted: 14 Mar 2025 | Closes: 21 Mar 2025 | Job Type: Full Time and Permanent | Business Unit: South Africa - Secure Solutions | Region / Division: Africa | Reference: Accountant l Head Office CenturionApply now Remuneration and benefits will be commensurate with the seniority of the role and in compliance with company remuneration policy and practice. Job Introduction: G4S Secure Solutions (SA), a leading provider of integrated security management solutions, has a vacancy for an Accountant based at our operations in Centurion, reporting to the Finance Manager. Read the full article

[piembsystech]

Understanding Row-Level Security (RLS) in T-SQL Server

Row-Level Security (RLS) in T-SQL Server: Implementation, Examples, and Best Practices Hello, fellow SQL enthusiasts! In this blog post, I will introduce you to Row-Level Security in T-SQL – one of the most important and powerful security features in T-SQL Server – Row-Level Security (RLS). RLS allows you to control access to rows in a database table based on the user executing the query. It…

[pink-city-to-datascience-city]

Can You Master Data Science Without Coding? Let's Explore.

Data science is now one of the top-rated industries, as businesses depend on data to make decisions. However, a frequent question is asked by those who want to become a data scientist. Do you have the ability to learn data science without programming? The answer isn't a straightforward yes or no. It is contingent on the goals you have for your career, the tools you utilize, and the level of knowledge you have.

If you're considering the data science course in Jaipur, this article will be your guide to understanding the importance of coding and the alternative paths it offers within the field.

Is Coding Essential for Data Science?

Coding has always been the most essential skill in the field of data science. Languages such as Python, R, and SQL are used extensively for the analysis of data, machine learning, and building models for predictive analysis. However, advances in technology make it possible to complete a variety of jobs in data science without an extensive understanding of coding.

A variety of platforms and tools now provide low-code or no-code solutions that make data science easier to access. Examples include Microsoft Power BI, Tableau, and Google Data Studio, which enable users to study data and develop visualizations with no one line of code.

However, most data science courses in Jaipur require fundamental knowledge of programming, which can help if you are looking to further your career or participate in a complicated project. These courses include the basics of coding, and some focus on software that requires only minimal programming skills, making them perfect for beginners.

Careers in Data Science That Don't Require Coding

If you're not a coding expert, do not fret--you could still make a career in the field of data science. Several jobs require no programming skills:

1. Data Analyst

Data analysts, who interpret information to help businesses make more informed decisions, often use programs like Excel, Tableau, or Power BI, which don't require coding. This role is highly sought after, with many professionals who have completed the Data Science course in Jaipur choosing this path due to its high demand and easy entry requirements.

2. Business Intelligence (BI) Analyst

BI analysts utilize the data they collect to detect patterns and offer actionable insight. They depend on platforms like QlikView, Power BI, and Google Analytics, which provide easy-to-use interfaces that do not require programming.

3. Data Visualization Specialist

This job is focused on providing complicated data in a pleasing and easy-to-understand format. Data visualization experts use tools such as Tableau and Power BI to communicate their insights using graphs, charts, and visual dashboards.

4. Data Consultant

Data consultants help businesses develop data-driven strategies. Although some initiatives may require code, most are focused on data interpretation as well as strategy formulation and communications. The data science institute in Jaipur will equip students with the analytical and communication skills required for the job.

No-Code Tools for Data Science

Many tools enable you to complete data science-related tasks with no coding. There are a few options:

Tableau for data visualization and intelligence in business.

Microsoft Power Microsoft Power for interactive dashboards and reports.

Google Data Studio: This is used to create custom reports using Google data sources.

KNIME Data Analytics uses a visual workflow.

Orange: This is for data mining and machine learning using the drag-and-drop feature.

When you learn about these tools during a data science education at Jaipur, you can gain practical experience without needing extensive knowledge of coding.

Benefits of Learning Data Science Without Coding

Learning data science without coding can significantly accelerate your learning curve. Tools that do not require code are more straightforward to understand, making it easier to apply techniques in data science. This practical benefit can inspire you to delve deeper into the field and make the most of the opportunities available.

Accessibility: People with no technical background can get into the sector without learning programming.

Concentrate on Analysis With no coding required; it is possible to focus on understanding data and creating insight.

Multi-purpose: No-code tools are extensively used in all different industries, from the marketing sector to finance.

Should You Still Learn Coding?

Although it is possible to master data science with no programming knowledge, having at least a minimum knowledge of programming can help you enhance your job prospects. Coding lets you:

Automate repetitive tasks, as well as clean up processes for data.

Larger datasets are something that tools that do not code may be unable to manage.

Build custom machine-learning models.

Improve collaboration with engineers and data scientists.

Most data science training in Jaipur offers introductory coding classes, which makes it simple to acquire the necessary programming knowledge using non-code tools.

Real-Life Example: Data Science Success Without Coding

Take Sarah, who enrolled in a data science class, an experienced marketing professional who wanted to use information to boost her campaign. Without any programming experience, the woman enrolled in a data science course in Jaipur, which focused on instruments such as Tableau or Google Analytics. Within a short time, Sarah learned to analyze customer data, design visual reports, and improve her marketing tactics. She now leads an organization of data-driven marketers and has never had to code.

This case illustrates that coding is not always required to be successful in data science. The most important thing is to choose the best tools and programs that align with your objectives.

Finding the Right Data Science Course in Jaipur

If you're eager to begin your journey into data science, selecting the best education program is vital. Find a Data science institute in Jaipur with the following services:

Training hands-on using no-code and low-code equipment.

Case studies and practical projects taken from actual industry.

Professional instructors can help you throughout the process of learning.

Learning options are flexible, either online or in person.

Suppose you choose the best data science institute in Jaipur. In that case, you will learn the necessary skills to excel in your field without having to worry about complicated code or programming languages.

Final Thoughts

Can you master data science without programming? Absolutely! Thanks to the advent of tools that do not require code or low code, Data science has become easier to access than ever before. While programming can provide more significant opportunities, many jobs in data analysis, business intelligence, and visualization require little or no programming.

If you're planning to start a course that best suits your learning style and your journey, enrolling in a Data Science course in Jaipur will help you gain practical experience by using the most advanced tools available. Select the data science training in Jaipur that is in line with the way you learn, and then explore the numerous career opportunities. If you receive the proper training from an accredited data science institute in Jaipur, you can develop into a skilled professional in data science with no programming necessary!

[toppowerappstraining]

PowerApps Training | Power Automate Training

PowerApps Search Function: Using 'Contains' for Better Results

PowerApps Training, The PowerApps Search Function is an essential tool for building efficient and user-friendly applications. This function empowers developers and users to find data quickly and easily by providing flexibility in how they search within an app. One of the most powerful features of the PowerApps Search Function is its ability to incorporate the Contains operator, which allows for partial matches and delivers more relevant search results.

In this article, we will explore how the PowerApps Search Function works, its benefits, and step-by-step guidance on using the Contains operator effectively. Whether you're a beginner or a seasoned developer, you'll discover actionable insights to enhance your PowerApps applications. Power Automate Training

What Is the PowerApps Search Function?

The PowerApps Search Function is used to filter records in a data source based on search criteria entered by the user. It provides a simple and effective way to build search capabilities into your app. For instance, users can type a keyword in a search bar, and the app will display matching results from a table, collection, or connected data source.

The PowerApps Search Function is particularly valuable because it supports case-insensitive searches, making it easier for users to find what they need without worrying about capitalization. Additionally, when combined with the Contains operator, it becomes even more powerful, allowing for partial matches and broader search possibilities.

Why Use the 'Contains' Operator with PowerApps Search Function?

The Contains operator enhances the flexibility of the PowerApps Search Function. Instead of requiring an exact match for a search term, Contains lets users search for records that include the term anywhere in the field. This functionality is ideal for scenarios where users might only know part of a name, description, or keyword. PowerApps Training

For example, imagine a scenario where you're building an app to search a customer database. A user searching for "Smith" can find records like "John Smith" or "Smithson Enterprises" without needing to type the exact match.

Some key benefits of using the Contains operator with the PowerApps Search Function include:

Improved User Experience: Users can find results even with incomplete information.

Faster Data Retrieval: Partial matches save time and reduce the frustration of unsuccessful searches.

Enhanced Flexibility: Works seamlessly across different types of data fields, such as names, descriptions, and IDs.

How to Use 'Contains' with PowerApps Search Function

Here’s a step-by-step guide to implementing the Contains operator with the PowerApps Search Function in your application:

Step 1: Set Up Your Data Source

First, ensure that your app is connected to a data source. This could be a SharePoint list, Excel table, or SQL database. For demonstration purposes, let's assume you're working with a collection named CustomerData. Power Automate Training

Step 2: Add a Search Bar

Add a Text Input control to your app and name it txtSearch. This will serve as the search bar where users can input their search terms.

Step 3: Configure the Search Functionality

To enable the PowerApps Search Function in your app, begin by setting up a mechanism for users to enter their search terms, such as a search bar or text input field. Link this search bar to your data source and specify the fields you want users to search through, such as names, emails, or phone numbers. This ensures that the app dynamically filters and displays relevant results based on the user’s input.

Step 4: Refine with 'Contains' for Partial Matches

To make your search feature more robust, utilize the Contains operator. This ensures that users can retrieve results even if they only provide partial information. For instance, a search for a partial name or keyword will match records containing that term anywhere in the relevant fields. By applying this approach, your app delivers more accurate and inclusive search results, enhancing the overall user experience.

Step 5: Test and Refine

Run your app and test the search functionality by entering different keywords. Adjust the fields in the formula as needed to optimize the search experience for your users.

Best Practices for Using PowerApps Search Function

To maximize the effectiveness of the PowerApps Search Function, consider these best practices:

Optimize Data Sources: Ensure your data sources are indexed and structured efficiently to improve search performance.

Limit Search Scope: Avoid searching across too many fields simultaneously, as this can slow down performance.

Provide Clear Instructions: Add placeholders or tooltips to the search bar to guide users on how to use the search function effectively.

Enhance Results Display: Use filters and sorting options to make search results more user-friendly.

Handle Empty Results: Add a message or visual indicator to inform users when no results are found.

Real-World Applications of PowerApps Search Function

The PowerApps Search Function is widely used across various industries. Here are a few examples:

Customer Relationship Management (CRM): Quickly search for customer details by name, email, or phone number.

Inventory Management: Find products based on partial names or descriptions.

Employee Directory: Locate employees in a database using their first or last name.

Event Management: Search for attendees based on registration details.

These applications demonstrate the versatility of the PowerApps Search Function, particularly when paired with the Contains operator.

Common Challenges and How to Overcome Them

While the PowerApps Search Function is powerful, it does come with some challenges:

Performance Issues with Large Data Sets: Searching large data sources can slow down app performance. Solution: Use delegable data sources and optimize your queries.

Complex Search Requirements: Advanced filtering may require combining multiple functions, such as Search, Filter, and Contains. Solution: Plan your formulas carefully and test extensively.

Case Sensitivity in Non-Delegable Functions: Although Search is case-insensitive, combining it with other functions may introduce case-sensitivity. Solution: Use Lower or Upper to normalize text.

Conclusion

The PowerApps Search Function is a game-changer for building dynamic, user-friendly apps. By integrating the Contains operator, you can elevate your app’s search capabilities, enabling users to find data more easily and efficiently. Whether you’re developing a CRM, an inventory tracker, or an employee directory, mastering the PowerApps Search Function is a must for delivering a superior user experience.

Start exploring the possibilities of the PowerApps Search Function today and see how it transforms your application’s functionality!

Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide PowerApps and Power Automate Training. You will get the best course at an affordable cost.

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Leveraging gMSA for Enhanced Security in SQL Server

In today’s rapidly evolving cybersecurity landscape, securing database environments has become paramount for organizations worldwide. Among various strategies, integrating Group Managed Service Accounts (gMSAs) into SQL Server environments stands out as a robust method to bolster security. This article delves into practical T-SQL code examples and applications of gMSAs, offering insights into how…

[fromdevcom]

Having spent time as both developer and DBA, I’ve been able to identify a few bits of advice for developers who are working closely with SQL Server. Applying these suggestions can help in several aspects of your work from writing more manageable source code to strengthening cross-functional relationships. Note, this isn’t a countdown – all of these are equally useful. Apply them as they make sense to your development efforts. 1 Review and Understand Connection Options In most cases, we connect to SQL Server using a “connection string.” The connection string tells the OLEDB framework where the server is, the database we intend to use, and how we intend to authenticate. Example connection string: Server=;Database=;User Id=;Password=; The common connection string options are all that is needed to work with the database server, but there are several additional options to consider that you can potentially have a need for later on. Designing a way to include them easily without having to recode, rebuild, and redeploy could land you on the “nice list” for your DBAs. Here are some of those options: ApplicationIntent: Used when you want to connect to an AlwaysOn Availability Group replica that is available in read-only mode for reporting and analytic purposes MultiSubnetFailover: Used when AlwaysOn Availability Groups or Failover Clusters are defined across different subnets. You’ll generally use a listener as your server address and set this to “true.” In the event of a failover, this will trigger more efficient and aggressive attempts to connect to the failover partner – greatly reducing the downtime associated with failover. Encrypt: Specifies that database communication is to be encrypted. This type of protection is very important in many applications. This can be used along with another connection string option to help in test and development environments TrustServerCertificate: When set to true, this allows certificate mismatches – don’t use this in production as it leaves you more vulnerable to attack. Use this resource from Microsoft to understand more about encrypting SQL Server connections 2 When Using an ORM – Look at the T-SQL Emitted There are lots of great options for ORM frameworks these days: Microsoft Entity Framework NHibernate AutoMapper Dapper (my current favorite) I’ve only listed a few, but they all have something in common. Besides many other things, they abstract away a lot of in-line writing of T-SQL commands as well as a lot of them, often onerous, tasks associated with ensuring the optimal path of execution for those commands. Abstracting these things away can be a great timesaver. It can also remove unintended syntax errors that often result from in-lining non-native code. At the same time, it can also create a new problem that has plagued DBAs since the first ORMs came into style. That problem is that the ORMs tend to generate commands procedurally, and they are sometimes inefficient for the specific task at hand. They can also be difficult to format and read on the database end and tend to be overly complex, which leads them to perform poorly under load and as systems experience growth over time. For these reasons, it is a great idea to learn how to review the T-SQL code ORMs generate and some techniques that will help shape it into something that performs better when tuning is needed.  3 Always be Prepared to “Undeploy” (aka Rollback) There aren’t many times I recall as terrible from when I served as a DBA. In fact, only one stands out as particularly difficult. I needed to be present for the deployment of an application update. This update contained quite a few database changes. There were changes to data, security, and schema. The deployment was going fine until changes to data had to be applied. Something had gone wrong, and the scripts were running into constraint issues. We tried to work through it, but in the end, a call was made to postpone and rollback deployment. That is when the nightmare started.

The builders involved were so confident with their work that they never provided a clean rollback procedure. Luckily, we had a copy-only full backup from just before we started (always take a backup!). Even in the current age of DevOps and DataOps, it is important to consider the full scope of deployments. If you’ve created scripts to deploy, then you should also provide a way to reverse the deployment. It will strengthen DBA/Developer relations simply by having it, even if you never have to use it. Summary These 3 tips may not be the most common, but they are directly from experiences I’ve had myself. I imagine some of you have had similar situations. I hope this will be a reminder to provide more connection string options in your applications, learn more about what is going on inside of your ORM frameworks, and put in a little extra effort to provide rollback options for deployments. Jason Hall has worked in technology for over 20 years. He joined SentryOne in 2006 having held positions in network administration, database administration, and software engineering. During his tenure at SentryOne, Jason has served as a senior software developer and founded both Client Services and Product Management. His diverse background with relevant technologies made him the perfect choice to build out both of these functions. As SentryOne experienced explosive growth, Jason returned to lead SentryOne Client Services, where he ensures that SentryOne customers receive the best possible end to end experience in the ever-changing world of database performance and productivity.

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certification Key Features: Understand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification examExplore the various Azure services for building end-to-end data solutionsGain a solid understanding of building secure and sustainable data solutions using Azure services Book Description: Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you'll work on sample questions and answers to familiarize yourself with the pattern of the exam.By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering. What You Will Learn: Gain intermediate-level knowledge of Azure the data infrastructureDesign and implement data lake solutions with batch and stream pipelinesIdentify the partition strategies available in Azure storage technologiesImplement different table geometries in Azure Synapse AnalyticsUse the transformations available in T-SQL, Spark, and Azure Data FactoryUse Azure Databricks or Synapse Spark to process data using NotebooksDesign security using RBAC, ACL, encryption, data masking, and moreMonitor and optimize data pipelines with debugging tips Who this book is for: This book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack.The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book. Publisher ‏ : ‎ Packt Publishing (4 March 2022); Packt Publishing Limited Language ‏ : ‎ English Paperback ‏ : ‎ 574 pages ISBN-10 ‏ : ‎ 1801816069 ISBN-13 ‏ : ‎ 978-1801816069 Item Weight ‏ : ‎ 990 g Dimensions

‏ : ‎ 3.73 x 19.05 x 23.5 cm Country of Origin ‏ : ‎ India Importer ‏ : ‎ Packt Publishing Limited Packer ‏ : ‎ Packt Publishing Limited Generic Name ‏ : ‎ Books [ad_2]

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SAS Tutorial, SAS Training, and Clinical SAS Training: A Complete Guide

In today’s data-driven world, professionals in industries such as healthcare, pharmaceuticals, finance, and more rely heavily on software tools to analyze vast amounts of data. One of the most powerful and widely used tools is SAS (Statistical Analysis System). SAS offers a suite of software solutions for data management, advanced analytics, and statistical analysis. In this article, we’ll explore the different aspects of SAS Tutorial, SAS Training, and Clinical SAS Training, and how they contribute to the growing demand for data professionals.

What is SAS?

SAS is a comprehensive software suite used for data management, advanced analytics, statistical analysis, business intelligence, and predictive analytics. It’s widely utilized in various fields, including clinical research, banking, insurance, and manufacturing. SAS allows users to perform sophisticated data analysis, generate reports, and visualize complex datasets, helping organizations make data-driven decisions.

SAS Tutorial: A Beginner’s Introduction

A SAS Tutorial is a learning resource that introduces beginners to the basics of SAS software. These tutorials are designed to help new users understand the fundamental concepts and functions of SAS, including how to navigate the interface, work with datasets, and perform basic statistical analyses.

Key Features of a SAS Tutorial:

1. Introduction to SAS Interface  

A SAS tutorial typically begins with an overview of the SAS environment. Users learn how to access the software, create projects, and navigate between various windows (e.g., Program Editor, Log, Output, and Results Viewer).

2. Understanding SAS Syntax

One of the key aspects of SAS programming is understanding its syntax. Tutorials teach users how to write simple SAS programs using procedures (PROCs), DATA steps, and functions. These tutorials focus on key functions like `PROC MEANS` for summarizing data, `PROC FREQ` for frequency analysis, and `DATA` steps for data manipulation.

3. Data Management and Manipulation

SAS is widely used for managing large datasets. A SAS tutorial walks users through how to import data from different sources (like CSV, Excel, or SQL databases), clean and manipulate data, and create new variables or data sets.

4. Basic Statistical Analysis

For beginners, SAS tutorials include examples of basic statistical procedures like descriptive statistics, t-tests, correlation, and simple regression analysis. These basic skills form the foundation for more advanced techniques.

5. Generating Reports and Visualizations

A fundamental part of SAS is generating output. Tutorials cover how to create basic reports, tables, and visualizations using `PROC REPORT` and `PROC SGPlot`.

By the end of a beginner-level SAS tutorial, learners should be comfortable with the core functionalities of the software and be able to write basic SAS programs to analyze data.

SAS Training: Advancing Your Skills

SAS Training goes beyond tutorials by providing in-depth, structured learning for individuals looking to advance their skills in SAS. This training is typically offered by institutes, universities, or online platforms and focuses on more complex aspects of SAS.

What Does SAS Training Include?

1. Intermediate to Advanced Programming

While tutorials focus on the basics, SAS training provides deeper insights into advanced programming techniques. This includes learning advanced functions, macros, loops, and complex data management techniques like merging, reshaping, and transposing data.

2. Advanced Statistical Procedures  

SAS training introduces users to more advanced statistical analysis techniques, such as mixed models, survival analysis, time series analysis, and multivariate analysis. These advanced methods are essential for users who want to apply SAS in specialized industries like pharmaceuticals or finance.

3. SQL and SAS Integration 

SAS training also teaches how to integrate SAS with other software systems, such as SQL databases. Learning how to access data from relational databases using SQL queries inside SAS is essential for users working in large-scale data environments.

4. Automation and Reporting

A critical part of SAS training is learning how to automate repetitive tasks using SAS scripts and macros. Automation skills improve efficiency and make it easier to handle large, complex datasets. Training also covers creating dynamic and customized reports using `ODS` (Output Delivery System) and `PROC REPORT`.

5. Performance Tuning and Optimization

For more experienced SAS users, performance tuning is crucial. SAS training provides tips and techniques for improving the efficiency of your code, such as optimizing sorting, merging, and summarizing operations to handle large datasets faster.

SAS training is perfect for those looking to deepen their SAS expertise and apply it to real-world data analysis projects.

Clinical SAS Training: A Specialized Skill for the Pharma Industry

Clinical SAS Training is a specialized type of SAS training designed for professionals working in the pharmaceutical, biotechnology, and clinical research sectors. Clinical trials generate large volumes of complex data that must be analyzed and reported accurately. Clinical SAS is the go-to tool for this purpose, and those trained in it are highly sought after in the clinical research field.

What Does Clinical SAS Training Cover?

1. Introduction to Clinical Data Standards

Clinical SAS training focuses on the specific standards and regulations that govern clinical trials, such as the **CDISC** (Clinical Data Interchange Standards Consortium) standards. It covers formats like **SDTM** (Study Data Tabulation Model) and **ADaM** (Analysis Data Model), which are essential for submitting clinical trial data to regulatory bodies like the FDA and EMA.

2. Managing Clinical Trial Data  

Clinical SAS training teaches students how to manage and clean clinical trial data, ensuring that it adheres to regulatory standards. This includes working with datasets like patient demographics, adverse events, and laboratory results.

3. Statistical Analysis for Clinical Trials  

Clinical SAS training focuses on statistical methods used in clinical research, such as survival analysis, **Kaplan-Meier curves**, hazard ratios, and treatment comparisons. These methods are used to analyze the efficacy and safety of new drugs or therapies.

4. Creating Reports for Regulatory Submissions

Regulatory submissions require detailed reports that summarize trial results. Clinical SAS training teaches how to generate tables, listings, and figures (TLFs) for clinical trial reports, which are critical for obtaining regulatory approval.

5. Ethical and Compliance Considerations

Clinical SAS training also covers ethical guidelines and compliance issues related to clinical trials. It ensures that students understand how to handle patient data confidentiality and comply with industry standards like **GxP** (Good Clinical Practice) and **21 CFR Part 11** (for electronic records).

Why Choose SAS Training or Clinical SAS Training?

- Growing Demand: The demand for SAS professionals is high, especially in industries like pharmaceuticals, healthcare, and finance, where data analysis is critical.

- High Salaries: Skilled SAS professionals are well-compensated, with competitive salaries reflecting their expertise.

- Career Growth: Mastering SAS or Clinical SAS opens up diverse career opportunities in data science, clinical research, statistics, and analytics.

Conclusion

SAS Tutorial, SAS Training, and Clinical SAS Training are essential for anyone looking to build a career in data analysis, especially in industries like pharmaceuticals and healthcare. Whether you're just starting with SAS or aiming to specialize in clinical research, investing time in learning these skills can significantly enhance your career prospects and make you a valuable asset in today’s data-driven world.

[pentesttestingcorp]

Mastering SQL Injection (SQLi) Protection for Symfony with Examples

Understanding and Preventing SQL Injection (SQLi) in Symfony Applications

SQL Injection (SQLi) remains one of the most common and damaging vulnerabilities affecting web applications. This guide will dive into what SQLi is, why Symfony developers should be aware of it, and practical, example-based strategies to prevent it in Symfony applications.

What is SQL Injection (SQLi)?

SQL Injection occurs when attackers can insert malicious SQL code into a query, allowing them to access, alter, or delete database data. For Symfony apps, this can happen if inputs are not properly handled. Consider the following unsafe SQL query:

php

$query = "SELECT * FROM users WHERE username = '" . $_POST['username'] . "' AND password = '" . $_POST['password'] . "'";

Here, attackers could input SQL code as the username or password, potentially gaining unauthorized access.

How to Prevent SQL Injection in Symfony

Symfony provides tools that, when used correctly, can prevent SQL Injection vulnerabilities. Here are the best practices, with examples, to secure your Symfony app.

1. Use Prepared Statements (Example Included)

Prepared statements ensure SQL queries are safely constructed by separating SQL code from user inputs. Here’s an example using Symfony's Doctrine ORM:

php

// Safe SQL query using Doctrine $repository = $this->getDoctrine()->getRepository(User::class); $user = $repository->findOneBy([ 'username' => $_POST['username'], 'password' => $_POST['password'] ]);

Doctrine’s findOneBy() automatically prepares statements, preventing SQL Injection.

2. Validate and Sanitize Input Data

Input validation restricts the type and length of data users can input. Symfony’s Validator component makes this easy:

php

use Symfony\Component\Validator\Validation; use Symfony\Component\Validator\Constraints as Assert; $validator = Validation::createValidator(); $input = $_POST['username']; $violations = $validator->validate($input, [ new Assert\Length(['max' => 20]), new Assert\Regex(['pattern' => '/^[a-zA-Z0-9_]+$/']) ]); if (count($violations) > 0) { // Handle invalid input }

In this example, only alphanumeric characters are allowed, and the input length is limited to 20 characters, reducing SQL Injection risks.

3. Use Doctrine’s Query Builder for Safe Queries

The Symfony Query Builder simplifies creating dynamic queries while automatically escaping input data. Here’s an example:

php

$qb = $this->createQueryBuilder('u'); $qb->select('u') ->from('users', 'u') ->where('u.username = :username') ->setParameter('username', $_POST['username']); $query = $qb->getQuery(); $result = $query->getResult();

By using setParameter(), Symfony binds the input parameter safely, blocking potential injection attacks.

Using Free Tools for Vulnerability Assessment

To check your application’s security, visit our Free Tools page. Here’s a snapshot of the free tools page where you can scan your website for SQL Injection vulnerabilities:

These tools help you identify security issues and provide guidance on securing your Symfony application.

Example: Vulnerability Assessment Report

Once you’ve completed a vulnerability scan, you’ll receive a detailed report outlining detected issues and recommended fixes. Here’s an example screenshot of a vulnerability assessment report generated by our free tool:

This report gives insights into potential SQL Injection vulnerabilities and steps to improve your app’s security.

Additional Resources

For more guidance on web security and SQL Injection prevention, check out our other resources:

Pentest Testing – Get expert penetration testing services.

Cyber Rely – Access comprehensive cybersecurity resources.

Conclusion

SQL Injection vulnerabilities can be effectively mitigated with the right coding practices. Symfony’s built-in tools like Doctrine, the Query Builder, and the Validator are valuable resources for safeguarding your application. Explore our free tools and vulnerability assessments to strengthen your Symfony app’s security today!

[dicecamp]

SQL Server is quickest way to your Data Analytics journey, says expert

SQL server tools get you through the whole, end-to-end ‘data ecosystem’; where you learn data engineering, data warehousing, and business intelligence all in single platform

Microsoft SQL Server is currently leading the RDBMS market with its tremendously diverse tools and services for data analytics. Whether it’s data management, analysis or reporting, you get all in one package, that too for free.

Given that SQL server provides an end-to-end exposure to the whole data ecosystem, learning SQL server is the quickest path to your data analytics journey..

Note: This career advice is for newbies just starting their analytics journey, as well as for technical geeks who wish to opt for SQL server job roles.

Table of contents

Data Ecosystem and SQL Server Tools

How can SQL Server help me begin a Career in Data Analytics?

Career Tracks to target a job role

Learn SQL Server Tools

Watch Webinar!

Data Ecosystem and SQL Server tools

Data ecosystem is the backbone of any organization’s data analytics project. 

Simply put, a data ecosystem documents and presents infrastructure and applications for data storage and processing. 

Any data ecosystem portrays four to five stages of data, depending on the organization’s objectives. 

Starting off, a data expert always needs to collect data from the vast sources of the organization. This includes, website data, SaaS applications, IoT devices, CRM, ERP etc.

Next, all of the data from diverse sources is gathered over a common place through a process called ingestion.

Integrated on a single database, this data needs to be cleaned, transformed and organized into a universal format (data harmonization) to avoid misalignment across the ecosystem. 

This process is called data warehousing (aka data engineering).

Optional is to further enrich data using machine learning technology. One of the main data science job roles is to apply predictive analytics at this stage.

Finally, at the last stage, data is analyzed and presented to business users for value driving and decision making. A BI developer or engineer is specialized to handle data visualization at this stage.

SQL Server tools and services offer a low code environment to all of the above steps and therefore quickly and easily helps to build an end-to-end data ecosystem for an organization. 

The tools and services can be broadly classified as data management and business intelligence (BI) functionalities.

For data management, SQL Server provides SQL Server Integration Services (SSIS), SQL Server Data Quality Services, and SQL Server Master Data Services. 

SQL Server provides SQL Server Data tools for building a database. And for management, deployment, and monitoring the platform has SQL Server Management Studio (SSMS).

SQL Server Analysis Services (SSAS) handle data analysis. 

SQL Server Reporting Services (SSRS) are used for reporting and visualization of data. 

Earlier known as the R services, the Machine Learning Services came as part of SQL Server suite in 2016 and renamed afterwards. 

How can SQL Server help me begin a Career in Data Analytics? 

When you learn SQL Server, it exposes you to the complete data ecosystem. This helps you in your career advancement in two ways.

Access to the vast SQL Server jobs

Microsoft SQL Server currently stands at 3rd rank (after Oracle and MySQL) in the world’s most used commercial relational databases. This is because Microsoft offers an intensely feature-rich version of SQL Server for free.

This makes SQL server skills one of the most in-demand across the data analytics ecosystem.

Tip: For newbies, and those with career transitions, if you want to land on an analytics job quickly, learning SQL server tools is a smart idea since the job market is lucrative. 

Further, once in, as you move along in your career we recommend growing your skill set and ascending towards more specific job roles, for example, data engineer and BI developer. 

Career Tracks to target a job role

Once you get a grab of the end-to-end data analytics ecosystem, now it’s a step to move forward in your analytics journey.

But why?

Data analytics is a broad field, and carries lucrative job opportunities in the form of various job roles available in the market.

Moreover, given a myriad of job roles, you can opt for a career in the field of your interest.

What are the career tracks when I work with SQL server? 

Become a Data Engineer

Once getting to know what data engineering holds, you can now opt for a vendor specific data engineering skills. 

For example, Teradata is a market leader in on-premise data warehousing solutions. Learning data engineering on Teradata will offer bright career prospects in the data analytics field.

While SQL Server and Teradata RDBMS have a data architecture built for small scale data, when it comes to data volumes up to petabytes size, these solutions don’t work. 

Thus a data engineer can move to learning big data technology that holds even brighter career prospects (read about the blooming big data market forecast).

Become a BI Developer/BI Engineer

This job role narrows to the data visualization, and reporting only. A BI developer is expert in BI tools such as Power BI and Tableau.

As a next step, a BI Developer can also opt for no code/low code Data Science using Knime.

Become an ML Engineer

A Machine Learning engineer uses ML technology to employ predictive analytics and finds out future trends and patterns within data.

The requirement for an ML engineer is to understand how databases and data warehousing works, and needs to build a strong foundation in that.

Next, you can opt for Deep Learning in your career journey for better positions in large enterprises. 

Become a Data Analyst

After getting to work with SQL server tools, you can also opt data analyst as your career choice. This requires you to build expertise in BI tools such as Power BI and Tableau.

The next step for career advancement is to learn Business Analytics that deals with business data and marketing analytics.

You might want to view Business Analytics career prospects and salary in Pakistan.

Interested in Learning SQL Server Tools? 

Dicecamp offers an 8 weeks course* on Learning SQL Server Tools.

The course covers four tools; SQL Server Integrated Services (SSIS), SQL Server Management Services (SSMS), Azure Cloud, and Power BI.

You will learn:

SQL hands-on 

DWH building using SSIS

Data Management using SSMS

AZURE SQL CONFIG, DTU basics

DAX implementation in Power BI

Data visualization in Power BI

Visit complete course outline and registration details here.

*We offer flexible pricing and valuable concessions.

Straight from the Horse’s Mouth!

The instructor of this course is Mr. Abu Bakar Nisar Alvi who’s Pakistan’s celebrated engineer awarded Tamgha e Imtiaz (fourth highest civil rank) for his excellent engineering performance back in 2005. 

Mr. Alvi serves as a senior IT consultant at the World Bank with key experience in enabling digital transformation as part of the village service delivery in Indonesia. 

Taking two decades of experience and vast work diversity, Mr. Alvi is now associated with Dicecamp as a lead trainer Data Analytics and Visualization.

Webinar: Watch him speaking on ‘Why to Learn SQL Server Tools’ in the latest webinar (LinkedIn Webinar Link).