#mysql dba training

[intelliontechnologies]

Snowflake vs Traditional Databases: What Makes It Different?

Data management has evolved significantly in the last decade, with organizations moving from on-premise, traditional databases to cloud-based solutions. One of the most revolutionary advancements in cloud data warehousing is Snowflake, which has transformed the way businesses store, process, and analyze data. But how does Snowflake compare to traditional databases? What makes it different, and why is it gaining widespread adoption?

In this article, we will explore the key differences between Snowflake and traditional databases, highlighting the advantages of Snowflake and why businesses should consider adopting it. If you are looking to master this cloud data warehousing solution, Snowflake training in Chennai can help you gain practical insights and hands-on experience.

Understanding Traditional Databases

Traditional databases have been the backbone of data storage and management for decades. These databases follow structured approaches, including relational database management systems (RDBMS) like MySQL, Oracle, PostgreSQL, and SQL Server. They typically require on-premise infrastructure and are managed using database management software.

Key Characteristics of Traditional Databases:

On-Premise or Self-Hosted – Traditional databases are often deployed on dedicated servers, requiring physical storage and management.

Structured Data Model – Data is stored in predefined tables and schemas, following strict rules for relationships.

Manual Scaling – Scaling up or out requires purchasing additional hardware or distributing workloads across multiple databases.

Fixed Performance Limits – Performance depends on hardware capacity and resource allocation.

Maintenance-Intensive – Requires database administrators (DBAs) for management, tuning, and security.

While traditional databases have been effective for years, they come with limitations in terms of scalability, flexibility, and cloud integration. This is where Snowflake changes the game.

What is Snowflake?

Snowflake is a cloud-based data warehousing platform that enables businesses to store, manage, and analyze vast amounts of data efficiently. Unlike traditional databases, Snowflake is designed natively for the cloud, providing scalability, cost-efficiency, and high performance without the complexities of traditional database management.

Key Features of Snowflake:

Cloud-Native Architecture – Built for the cloud, Snowflake runs on AWS, Azure, and Google Cloud, ensuring seamless performance across platforms.

Separation of Storage and Compute – Unlike traditional databases, Snowflake separates storage and computing resources, allowing independent scaling.

Automatic Scaling – Snowflake scales up and down dynamically based on workload demands, optimizing costs and performance.

Pay-As-You-Go Pricing – Organizations pay only for the storage and computing resources they use, making it cost-efficient.

Zero Management Overhead – No need for database administration, as Snowflake handles maintenance, security, and updates automatically.

Key Differences Between Snowflake and Traditional Databases

To understand what makes Snowflake different, let’s compare it to traditional databases across various factors:

1. Architecture

Traditional Databases: Follow a monolithic architecture, where compute and storage are tightly coupled. This means that increasing storage requires additional compute power, leading to higher costs.

Snowflake: Uses a multi-cluster, shared data architecture, where compute and storage are separate. Organizations can scale them independently, allowing cost and performance optimization.

2. Scalability

Traditional Databases: Require manual intervention to scale. Scaling up involves buying more hardware, and scaling out requires adding more database instances.

Snowflake: Offers instant scalability without any manual effort. It automatically scales based on the workload, making it ideal for big data applications.

3. Performance

Traditional Databases: Performance is limited by fixed hardware capacity. Queries can slow down when large volumes of data are processed.

Snowflake: Uses automatic query optimization and multi-cluster computing, ensuring faster query execution, even for large datasets.

4. Storage & Cost Management

Traditional Databases: Storage and compute are linked, meaning you pay for full capacity even if some resources are unused.

Snowflake: Since storage and compute are separate, businesses only pay for what they use, reducing unnecessary costs.

5. Data Sharing & Collaboration

Traditional Databases: Sharing data requires manual exports, backups, or setting up complex replication processes.

Snowflake: Enables secure, real-time data sharing without data movement, allowing multiple users to access live datasimultaneously.

6. Security & Compliance

Traditional Databases: Require manual security measures such as setting up encryption, backups, and access controls.

Snowflake: Provides built-in security features, including encryption, role-based access, compliance certifications (GDPR, HIPAA, etc.), and automatic backups.

7. Cloud Integration

Traditional Databases: Cloud integration requires additional tools or custom configurations.

Snowflake: Natively supports cloud environments and seamlessly integrates with BI tools like Power BI, Tableau, and Looker.

Why Businesses Are Moving to Snowflake

Companies across industries are transitioning from traditional databases to Snowflake due to its unparalleled advantages in scalability, performance, and cost efficiency. Some key reasons include:

Big Data & AI Adoption: Snowflake’s ability to handle massive datasets makes it ideal for AI-driven analytics and machine learning.

Reduced IT Overhead: Organizations can focus on analytics instead of database maintenance.

Faster Time to Insights: With high-speed querying and real-time data sharing, businesses can make quick, data-driven decisions.

How to Get Started with Snowflake?

If you are looking to switch to Snowflake or build expertise in cloud data warehousing, the best way is through structured training. Snowflake training in Chennai provides in-depth knowledge, practical labs, and real-world use cases to help professionals master Snowflake.

What You Can Learn in Snowflake Training?

Snowflake Architecture & Fundamentals

Data Loading & Processing in Snowflake

Performance Tuning & Optimization

Security, Access Control & Governance

Integration with Cloud Platforms & BI Tools

By enrolling in Snowflake training in Chennai, you gain hands-on experience in cloud data warehousing, making you industry-ready for high-demand job roles.

Conclusion

Snowflake has emerged as a game-changer in the world of data warehousing, offering cloud-native architecture, automated scalability, cost efficiency, and superior performance compared to traditional databases. Businesses looking for a modern data platform should consider Snowflake to enhance their data storage, analytics, and decision-making capabilities.

[suhailms]

Mastering Database Administration with Your Path to Expert DB Management

In the age of data-driven businesses, managing and securing databases has never been more crucial. A database administrator (DBA) is responsible for ensuring that databases are well-structured, secure, and perform optimally. Whether you're dealing with a small-scale application or a large enterprise system, the role of a database administrator is key to maintaining data integrity, availability, and security.

If you're looking to build a career in database administration or enhance your existing skills, Jazinfotech’s Database Administration course offers comprehensive training that equips you with the knowledge and hands-on experience to manage databases efficiently and effectively.

In this blog, we’ll explore what database administration entails, why it's an essential skill in today's tech industry, and how Jazinfotech’s can help you become an expert in managing and maintaining databases for various platforms.

1. What is Database Administration (DBA)?

Database Administration refers to the practice of managing, configuring, securing, and maintaining databases to ensure their optimal performance. Database administrators are responsible for the overall health of the database environment, including aspects such as:

Data Security: Ensuring data is protected from unauthorized access and data breaches.

Database Performance: Monitoring and optimizing the performance of database systems to ensure fast and efficient data retrieval.

Backup and Recovery: Implementing robust backup strategies and ensuring databases can be restored in case of failures.

High Availability: Ensuring that databases are always available and accessible, even in the event of system failures.

Data Integrity: Ensuring that data remains consistent, accurate, and reliable across all operations.

Database administrators work with various types of databases (SQL, NoSQL, cloud databases, etc.), and they often specialize in specific database management systems (DBMS) such as MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and MongoDB.

2. Why is Database Administration Important?

Database administration is a critical aspect of managing the infrastructure of modern organizations. Here are some reasons why database administration is vital:

a. Ensures Data Security and Compliance

In today’s world, where data breaches and cyber threats are prevalent, ensuring that your databases are secure is essential. A skilled DBA implements robust security measures such as encryption, access control, and monitoring to safeguard sensitive information. Moreover, DBAs are responsible for ensuring that databases comply with various industry regulations and data privacy laws.

b. Optimizes Performance and Scalability

As organizations grow, so does the volume of data. A good DBA ensures that databases are scalable, can handle large data loads, and perform efficiently even during peak usage. Performance optimization techniques like indexing, query optimization, and database tuning are essential to maintaining smooth database operations.

c. Prevents Data Loss

Data is often the most valuable asset for businesses. DBAs implement comprehensive backup and disaster recovery strategies to prevent data loss due to system crashes, human error, or cyber-attacks. Regular backups and recovery drills ensure that data can be restored quickly and accurately.

d. Ensures High Availability

Downtime can have significant business impacts, including loss of revenue, user dissatisfaction, and brand damage. DBAs design high-availability solutions such as replication, clustering, and failover mechanisms to ensure that the database is always accessible, even during maintenance or in case of failures.

e. Supports Database Innovation

With the evolution of cloud platforms, machine learning, and big data technologies, DBAs are also involved in helping organizations adopt new database technologies. They assist with migration to the cloud, implement data warehousing solutions, and work on database automation to support agile development practices.

3. Jazinfotech’s Database Administration Course: What You’ll Learn

At Jazinfotech, our Database Administration (DBA) course is designed to give you a thorough understanding of the core concepts and techniques needed to become an expert in database management. Our course covers various DBMS technologies, including SQL and NoSQL databases, and teaches you the necessary skills to manage databases effectively and efficiently.

Here’s a breakdown of the core topics you’ll cover in Jazinfotech’s DBA course:

a. Introduction to Database Management Systems

Understanding the role of DBMS in modern IT environments.

Types of databases: Relational, NoSQL, NewSQL, etc.

Key database concepts like tables, schemas, queries, and relationships.

Overview of popular DBMS technologies: MySQL, Oracle, SQL Server, PostgreSQL, MongoDB, and more.

b. SQL and Query Optimization

Mastering SQL queries to interact with relational databases.

Writing complex SQL queries: Joins, subqueries, aggregations, etc.

Optimizing SQL queries for performance: Indexing, query execution plans, and normalization.

Data integrity and constraints: Primary keys, foreign keys, and unique constraints.

c. Database Security and User Management

Implementing user authentication and access control.

Configuring database roles and permissions to ensure secure access.

Encryption techniques for securing sensitive data.

Auditing database activity and monitoring for unauthorized access.

d. Backup, Recovery, and Disaster Recovery

Designing a robust backup strategy (full, incremental, differential backups).

Automating backup processes to ensure regular and secure backups.

Recovering data from backups in the event of system failure or data corruption.

Implementing disaster recovery plans for business continuity.

e. Database Performance Tuning

Monitoring and analyzing database performance.

Identifying performance bottlenecks and implementing solutions.

Optimizing queries, indexing, and database configuration.

Using tools like EXPLAIN (for query analysis) and performance_schema to improve DB performance.

f. High Availability and Replication

Setting up database replication (master-slave, master-master) to ensure data availability.

Designing high-availability database clusters to prevent downtime.

Load balancing to distribute database requests and reduce the load on individual servers.

Failover mechanisms to automatically switch to backup systems in case of a failure.

g. Cloud Database Administration

Introduction to cloud-based database management systems (DBaaS) like AWS RDS, Azure SQL, and Google Cloud SQL.

Migrating on-premise databases to the cloud.

Managing database instances in the cloud, including scaling and cost management.

Cloud-native database architecture for high scalability and resilience.

h. NoSQL Database Administration

Introduction to NoSQL databases (MongoDB, Cassandra, Redis, etc.).

Managing and scaling NoSQL databases.

Differences between relational and NoSQL data models.

Querying and optimizing performance for NoSQL databases.

i. Database Automation and Scripting

Automating routine database maintenance tasks using scripts.

Scheduling automated backups, cleanup jobs, and index maintenance.

Using Bash, PowerShell, or other scripting languages for database automation.

4. Why Choose Jazinfotech for Your Database Administration Course?

At Jazinfotech, we provide high-quality, practical training in database administration. Our comprehensive DBA course covers all aspects of database management, from installation and configuration to performance tuning and troubleshooting.

Here’s why you should choose Jazinfotech for your DBA training:

a. Experienced Trainers

Our instructors are seasoned database professionals with years of hands-on experience in managing and optimizing databases for enterprises. They bring real-world knowledge and industry insights to the classroom, ensuring that you learn not just theory, but practical skills.

b. Hands-On Training

Our course offers plenty of hands-on labs and practical exercises, allowing you to apply the concepts learned in real-life scenarios. You will work on projects that simulate actual DBA tasks, including performance tuning, backup and recovery, and database security.

c. Industry-Standard Tools and Technologies

We teach you how to work with the latest database tools and technologies, including both relational and NoSQL databases. Whether you're working with Oracle, SQL Server, MySQL, MongoDB, or cloud-based databases like AWS RDS, you'll gain the skills needed to manage any database environment.

d. Flexible Learning Options

We offer both online and in-person training options, making it easier for you to learn at your own pace and according to your schedule. Whether you prefer classroom-based learning or virtual classes, we have the right solution for you.

e. Career Support and Placement Assistance

At Jazinfotech, we understand the importance of securing a job after completing the course. That’s why we offer career support and placement assistance to help you find your next role as a Database Administrator. We provide resume-building tips, mock interviews, and help you connect with potential employers.

5. Conclusion

Database administration is a critical skill that ensures your organization’s data is secure, accessible, and performant. With the right training and experience, you can become a highly skilled database administrator and take your career to new heights.

Jazinfotech’s Database Administration course provides the comprehensive knowledge, hands-on experience, and industry insights needed to excel in the field of database management. Whether you’re a beginner looking to start your career in database administration or an experienced professional aiming to deepen your skills, our course will help you become a proficient DBA capable of managing complex database environments.

Ready to kickstart your career as a Database Administrator? Enroll in Jazinfotech’s DBA course today and gain the expertise to manage and optimize databases for businesses of all sizes!

[mohalicareerpoint12]

Best Database Institutes in Mohali: A Guide to Kickstart Your Career in Data Management

In today’s data-driven world, managing, storing, and retrieving data efficiently has become crucial for businesses. A solid understanding of databases and database management systems (DBMS) is essential for IT professionals, data analysts, developers, and anyone looking to build a career in technology. If you’re based in or around Mohali and want to master databases, it’s important to choose the right institute.

This guide highlights the best database training institutes in Mohali and what sets them apart from the rest.

Why Learn Database Management?

Database management is at the core of any technology infrastructure. Here are a few reasons why learning database systems is beneficial:

Career Growth: Expertise in databases opens doors to various roles like database administrator (DBA), data analyst, SQL developer, and more.

In-Demand Skill: Companies increasingly rely on data to make decisions, and proficient database managers are in high demand across industries.

Work with Big Data: Knowledge of databases is essential for working with big data and cloud computing technologies.

Increased Productivity: Efficient database management streamlines operations and enhances productivity in any organization.

Key Factors to Consider When Choosing a Database Institute

Before selecting an institute for database training, consider the following factors:

Comprehensive Curriculum: The course should cover both relational databases (SQL, MySQL) and NoSQL databases (MongoDB).

Experienced Instructors: Trainers should have real-world industry experience to provide practical insights.

Hands-On Learning: The institute should provide hands-on training with real-world databases and projects.

Certification: Industry-recognized certifications are essential for boosting your resume.

Placement Assistance: Some institutes offer placement support to help students secure jobs after course completion.

Top Institutes for Database Training in Mohali

1. ThinkNEXT Technologies

Why Choose ThinkNEXT Technologies for Database Training? ThinkNEXT Technologies is one of the leading IT training institutes in Mohali, offering a variety of database courses. Their programs cater to both beginners and professionals, providing a strong foundation in both SQL and NoSQL databases.

Course Highlights:

Training in SQL, MySQL, MongoDB, Oracle, and more.

Practical, hands-on experience with live projects.

Certified trainers with years of industry experience.

Certification & Placement: ThinkNEXT offers industry-recognized certification upon course completion. Their strong placement cell assists students in securing jobs at leading tech companies.

2. Excellence Technology

Why Choose Excellence Technology for Database Training? Excellence Technology is well-regarded for its practical approach to IT training. Their database management courses cover everything from basic SQL queries to advanced database administration, making it ideal for aspiring database administrators (DBAs).

Course Highlights:

Comprehensive training in relational databases (MySQL, Oracle) and NoSQL databases (MongoDB).

Real-world projects to gain practical experience.

In-depth focus on database optimization, administration, and security.

Certification & Placement: Upon completion, students receive certification recognized by top employers. Excellence Technology also provides strong job placement support, helping students transition into their careers.

3. Webtech Learning

Why Choose Webtech Learning for Database Training? Webtech Learning offers a robust database management course that focuses on real-world application and hands-on practice. The institute is known for its practical training programs, which are ideal for both beginners and working professionals.

Course Highlights:

Training in SQL, MySQL, PostgreSQL, MongoDB, and Oracle.

Emphasis on database design, query optimization, and data security.

Both classroom and online training options available.

Certification & Placement: After completing the course, students receive certification that is well-recognized in the industry. Webtech Learning offers placement assistance to help students secure roles in database management and data analysis.

4. iClass Mohali

Why Choose iClass Mohali for Database Training? iClass Mohali offers professional training in a range of IT courses, including database management. Their database training programs are designed to give students hands-on experience with different types of databases, making it a great option for those looking to gain practical skills.

Course Highlights:

In-depth coverage of SQL databases like MySQL, PostgreSQL, and Microsoft SQL Server.

Introduction to NoSQL databases such as MongoDB and Cassandra.

Hands-on lab sessions with real-time database management tasks.

Certification & Placement: iClass Mohali offers certification after course completion and provides placement assistance to help students land jobs in database management roles.

5. Netmax Technologies

Why Choose Netmax Technologies for Database Training? Netmax Technologies is a reputable institute in Mohali that offers specialized training in various database systems. Their courses are suitable for anyone looking to gain deep knowledge of database management and data handling techniques.

Course Highlights:

Comprehensive training in database languages like SQL, PL/SQL, and NoSQL databases.

Hands-on projects and real-world case studies to develop practical skills.

Training in database administration, optimization, and security.

Certification & Placement: Netmax Technologies provides a recognized certification after course completion. The institute also offers placement support to help students secure jobs in the IT industry.

Conclusion: Finding the Best Database Training Institute in Mohali

Choosing the right institute for database training is crucial to building a successful career in data management. Institutes like ThinkNEXT Technologies, Excellence Technology, and Webtech Learning offer comprehensive courses that provide both theoretical knowledge and practical experience with databases. Whether you’re looking to master SQL, NoSQL, or database administration, these institutes have the right programs to help you achieve your career goals.

With the increasing demand for data management professionals, having a strong foundation in database systems is a valuable asset. By enrolling in a top-notch training institute in Mohali, you’ll be well-prepared to take on roles such as database administrator, data analyst, or backend developer in leading companies.

[mesaimat]

The Role of MCA in Database Administration Careers

Effective management and administration of databases is crucial for organizations today to leverage their data assets. A Master of Computer Applications (MCA) degree provides a robust foundation for a successful career in database administration, blending advanced technical skills with critical management competencies. This blog delves into the significant role of MCA graduates in database administration and how their expertise contributes to effective data management.

Understanding Database Administration

Database administration involves the management, maintenance, and security of databases. It includes tasks such as:

Database Design: Structuring databases to ensure efficient storage and retrieval of data. Performance Tuning: Optimizing database performance to handle high volumes of transactions and queries. Data Security: Implementing measures to protect data from unauthorized access and breaches. Backup and Recovery: Ensuring that data is regularly backed up and can be restored in case of failure. User Management: Managing user access and permissions to maintain data integrity and security. MCA: A Gateway to Database Administration

An MCA degree provides a comprehensive education that equips graduates with both the technical and managerial skills necessary for a successful career in database administration. Here’s how MCA graduates contribute to the field:

Advanced Technical Skills: MCA programs cover in-depth topics such as database management systems (DBMS), SQL (Structured Query Language), and database design principles. These technical skills are fundamental for designing, implementing, and managing databases efficiently.

Understanding of Database Technologies: MCA graduates gain knowledge of various database technologies, including relational databases like MySQL, Oracle, and Microsoft SQL Server, as well as NoSQL databases such as MongoDB and Cassandra. This diverse expertise allows them to work with different types of databases and choose the best technology for specific needs.

Performance Optimization: MCA coursework often includes performance tuning techniques, teaching students how to optimize queries, manage indexing, and ensure that databases run efficiently even under heavy loads. These skills are essential for maintaining high performance and responsiveness in a database environment.

Data Security and Compliance: With a focus on data security, MCA graduates are trained in implementing security measures to protect sensitive information. They understand the importance of data encryption, access controls, and compliance with regulations such as GDPR and HIPAA.

Backup and Recovery Planning: Effective backup and recovery strategies are crucial for database administrators. MCA programs emphasize the importance of regular backups and the ability to recover data in case of loss or corruption, ensuring business continuity.

Problem-Solving Abilities: Database administration often involves troubleshooting and resolving issues related to data integrity, performance, and security. The problem-solving skills developed during an MCA program help graduates quickly identify and address database problems.

Project Management Skills: MCA programs include training in project management, which is valuable for managing database-related projects, such as migrations, upgrades, and implementations. These skills help ensure that projects are completed on time and within budget.

MCA in Action: Real-World Applications

MCA graduates play several key roles in database administration, including:

Database Administrator (DBA): Responsible for the overall management of databases, including installation, configuration, and maintenance. DBAs ensure that databases are secure, performant, and reliable.

Database Analyst: Focuses on analyzing database systems to improve efficiency and performance. They work on optimizing queries, creating reports, and ensuring data accuracy.

Data Architect: Designs the structure and organization of databases to support business needs. Data architects create schemas, define data relationships, and ensure that the database meets performance and scalability requirements.

Data Security Specialist: Ensures that databases are protected against unauthorized access and breaches. They implement security measures, monitor for vulnerabilities, and manage user permissions.

Business Intelligence (BI) Developer: Utilizes databases to create BI solutions, such as dashboards and reports, that help organizations make data-driven decisions. BI developers analyze data trends and provide insights to support strategic planning.

The Future of MCA in Database Administration

As the volume and complexity of data continue to grow, the role of database administrators becomes increasingly important. The future will see advancements in technologies such as cloud databases, artificial intelligence, and big data analytics. MCA graduates, with their advanced technical skills and management expertise, are well-positioned to lead in these evolving areas and drive innovation in database administration.

Conclusion

The MCA degree plays a pivotal role in preparing graduates for successful careers in database administration. By combining advanced technical knowledge with essential management skills, MCA programs equip students to excel in various aspects of database management, from design and performance optimization to security and compliance. As data continues to play a central role in business success, MCA graduates will remain at the forefront of database administration, ensuring that organizations can effectively harness the power of their data assets.

[dbatrainingcoursesblog-blog]

Database Training courses program is one of the best career opportunity and credentials for the database administrators. In related in current industry and it is review as the standard by many employers. Those who want to get best competence over all database Training management this certification courses program is the best professional career improvement option for them. However the most acclaimed data administration certification courses are conducted by industrial organizations and vendors, and it is indeed one of the smart career advancement plans for data base administrators.

[alexmarsh396-blog]

In Database Training, relational database management system or RDBMS is a common type database in which data is store in tables. You can see that most Database Training that are used in businesses these days are relational databases which oppose to a flat file or hierarchical database. Get your Oracle DBA here.

[we-admin-love-blog]

Database Training

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Looking to learn data Base fro Data Base Expert? Pick a course based on your needs.

Database Training | DBA Training | Oracle DBA | Cloud Architect | Cloud DBA | MySQL DBA Training | SQL Server Training | MariaDB Training | Microsoft Azure | AWS Training

[winpathit-blog]

MySQL DBA Online Training.

[ananthacademy-blog]

Best SQL Server Training Institute | MYSQL dba Training In Chennai

SQL is one of the necessary key skill for every programmer who develops various web applications using databases. Generally SQL uses databases to update the data which are obtained by performing various tasks. Ananth Academy is one of the best training platforms which provides ms SQL server training in Chennai in an effective way. We provide training according to your preferred levels.

We are one among the best SQL server training institute creating a knowledge pool to the knowledge seekers. We provide both theoretical and practical knowledge to our students. We give many online exercises to practice with placement options. Beginners can start their programming career by engaging themselves in the mysql dba training institute.

SQL programmers can also master it by learning advanced SQL programs. The benefits of SQL coding is tremendous and the usage of SQL structures gets increased in the current scenario. We also provide training for the final year students for the effective implementation of their projects. Reliable training with informative content and placement options. Engage yourself in SQL training and get the best mysql dba training in Chennai. Contact: Ananth Academy 19, Navaneethammal St, Ayyavoo Colony, Aminjikarai, Chennai, Tamil Nadu 600029. Mobile: +91 994 011 5469 Email: edu@ananthacademy.com Visit us: https://ananthacademy.com/sql-server-training

[theskillpedia]

MySQL DBA Training 10 User Management in MysQL

[ak-adidap]

Email:amitmk.jobs@gmail.com              Phone: +91-9638 646 124                 LinkedIn

Amit Kolvekar has over 12 years IT industry experience in India and the United States. He worked on critical projects and programs for the leading IT Telecom clients and received appreciation for commitment and productiveness. He has experience in project management, cloud technologies, agile development,  front end UI, backend API, and database development. He has extensively worked for the Telecom clients in India and abroad throughout his career.

SKILLS

PSM-I certified, Scrum Master, Agile Development, Project Management, AWS Solution Architect, DevOps, SDLC, Communication Skills, Documentation, Linux, JavaScript, Shell Script, Python, PHP, PL/SQL, MySQL, MongoDB, Web Applications, REST APIs, Apache Web server, DBA, Production Support, Network Automation, Network Discovery.

Tools

Service Now, Smart sheet, Jira, Rally, GitHub, Splunk, Putty, WinSCP, Wireshark, SQL developer, MySQL Workbench, Postman.

Domain

Telecom OSS/BSS, Network Devices & Protocols, Software Development, Service Assurance, Software Quality Assurance.

EXPERIENCE

PROJECT MANAGER • TCS – COMCAST, Gandhinagar, India • Nov-2018 TO PRESENT

As a project manager, I am responsible for the delivery of an application for the Billing team used for automating the PDF bill validation process.

My responsibilities include

Coordinating with team

Planning and estimations

Tracking and mitigating the risks

Recommending best practices

Answering client inquiries

Overseeing the development of technical solutions

Running scrum meetings reviewing technical documentation

Guiding and motivating the teams

Liaising with stakeholders

PROJECT MANAGER • TCS – COMCAST, PHILADELPHIA, PA • JUL-2015 TO Nov-2018

As a project manager, I am responsible for the delivery of a suite of business-critical applications for the network engineering team used for configuring the network devices.

My responsibilities include but not limited to

Coordinating with multiple teams

Planning and estimations

Tracking and mitigating the risks

Recommending best practices

Answering to client inquiries

Overseeing the development of technical solutions

Running scrum meetings reviewing technical documentation

Guiding and motivating the teams

Liaising with stakeholders

I was also involved in identifying the potential customers, arranging presentations and responding to RFIs and RFPs.

LEAD DEVELOPER • TCS – COMCAST, MT.LAUREL, NJ • NOV-2013 TO JUN-2015

Comcast has application suite used to generate and push configurations, monitor and manage network devices. Discover network devices and services. Run the performance tests on the circuits deployed for the business customers.

As lead developer, I was responsible for

Understanding the technical and business requirements from the product owners

Documenting and expanding user stories

Assigning tasks to the onshore and offshore developers

Presenting product demo

Troubleshooting and fixing production issues

Managing the databases and application servers

Provide regular reports and metrics to the management

Attended Cisco Interconnected Network devices training.

DEVELOPER • TCS – ERICSSON, RICHARDSON, TX • JUL-2011 TO OCT-2013

As an onsite developer, I was developing and maintaining the web-based application used by the Emergency Recovery team. The application used for managing the high severity issues happening in the various customer locations across the globe. There were about 600 users across the US, Europe, and China.

This tool used to

Keep track of issues and the engineers could update the status

Add notes as engineers troubleshoot the issue

The hand-off between the engineers working in shifts

Send SMS and Email alerts to the customers

Generate reports for the management to review

My responsibilities include adding new features and functionalities, answering user queries, coordinating with offshore team. Writing technical documentation and code review.

DEVELOPER • TCS – NORTEL NETWORKS, RALEIGH, NC • OCT-2010 TO JUL-2011

Nortel Network sold its business to Ericsson, Avaya, and Ciena. This project was to extract and migrate the business data to the buyers.

I was working with the team at onsite to perform the following activities.

Write and execute jobs that scan the document repository

Extract the relevant data,

Encrypt and package the data

Using Java and PowerShell and Documentum.

DEVELOPER • TCS –TATA COMMUNICATIONS, MUMBAI• MAR-2008 TO SEP-2010

At Tata Communication I was working on the development and maintenance of business critical Operations and Business process application. This application was developed in Linux, Apache, MySQL, and PHP (LAMP) with a user base of over 300 across India. This application used for presale, order management and provisioning of the various services provided by the Tata Communications.

My responsibilities include

Discuss new requirements with product owners and developing the features.

Troubleshooting the production issues in L3 support

Generating reports based on customer requirements using PL/SQL.

Working with other groups and assist them in understanding business data.

Document various aspects of the application and business cases.

Set up MySQL replication for redundancy and reports.

Trainee • TCS, coimbatore• Oct-2007 TO dec-2007

At Tata Consultancy Services, we were trained in Java, Oracle RDBMS, and Linux. Along with programming skills we were also trained in written and verbal communications. Email and telephone etiquettes in the business environment.

EDUCATION & Certifications

BACHELOR OF ENGINEERING – Mechanical Engineering • 2007 • VTU BELGAVI KARNATAKA

AWS Certified Solutions Architect  – Verification code: F6H2Z3J2LBFQ1RGJ

PROFESSIONAL SCRUM MASTER™ I

  Amit Kolvekar – Technical Project Manager Email:amitmk.jobs@gmail.com              Phone: +91-9638 646 124                 LinkedIn Amit Kolvekar has over 12 years IT industry experience…

[tejashwini1823]

SQL

Hey there, I just wanted to say that this video made learning SQL seem quick and easy.

[computingpostcom]

Nowadays the technology world is in the data-driven direction. With the development of Artificial intelligence and Machine Learning that hugely depend on data gathering and processing, data science is getting more popular. So does the demand for data specialists. The majority of vacancies available on the market contain the similar skill set criteria to the potential applicants. Despite the fact that there are different jobs related to data analysis like data engineers, data scientists, business intelligence specialists, DBA, etc and their primary responsibilities may vary, all of them have one demand in common. And this common must-have is proficiency in SQL, or Structured Query Language. Among the other frequently met requirements there are Database server structure understanding, and comprehension of its architecture, as well as possessing some critical soft skills like problem-solving and critical thinking. However, if some of these skills can be developed through experience, SQL comes first on the list when you search for your first internship in data science. There’s a pretty straightforward reason behind it: in order to perform your job duties you will need to access, manipulate, search and control datasets, and knowing SQL makes this work much easier. Let’s have a closer look on why knowing SQL and working with databases are so important for a data scientist: It’s everywhere SQL is an open-sourced language thus it’s used for querying data in the majority of relational database systems like MySQL, Microsoft SQL, MariaDB, PostgreSQL, and others. So if you are working with databases, you will definitely use SQL in your day-to-day work. Taking into account that SQL was created 40 years ago, there might be a misleading impression that it’s becoming obsolete. It’s quite the contrary, as apart from supporting nowadays systems, with the trend of moving to the cloud, new database solutions like Google Cloud SQL and Microsoft Azure are also using SQL as their basis. The great thing about this wide usage is that it’s relatively easy to start training in data science with a variety of courses,bootcamps, tutorials and books for beginners like “SQL for Dummies” and more advanced ones available online. It’s compatible with other programming languages and applications Sometimes, using SQL alone may not be efficient to cover the basic business needs like data visualization and if your work is related to data interpretation, you will need additional tools. The good news is that SQL is compatible with data analysis and business intelligence tools like Tableau, or Power BI to visualize data, create custom reports and dashboards to track business metrics. When it comes to application development, all of them require a database to function properly. Here, the integration of SQL with other programming languages like Python, C++, or R comes in handy to do database performance analysis, develop effective cross-platform software, support data storage, and retrieve data to serve clients’ requests to the application. It simplifies understanding of the data you are working with When you work with relational databases, one of the main skills to learn is understanding how data is organized. Here, the knowledge of SQL comes in handy. With its help, you will be able to navigate through the dataset content, perform modifications, and understand the peculiarities of the database you are working with. It’s also helpful in troubleshooting issues that may occur from time to time because you will be able to identify empty cells, or corrupted content, as well as spotting the patterns of the structure. This will result in the facilitation of database management and deeper knowledge of your datasets increasing the effectiveness of your work. In addition, the error investigation is simplified by clear error codes, so if during the troubleshooting you misuse operator, or there’s a syntax error, the codes are pretty self-explanatory and helpful to highlight where the root cause of the issue lies.

It enables large data massives processing Taking into account that data science is relying on operating large amounts of data, it may not always be possible to reflect in visually convenient formats like spreadsheets. Sometimes, datasets may have a complex structure creating additional difficulties when it comes to data interpretation. And with the dataset volumes increasing, SQL becomes the only way to maintain and work with such big data massives. By setting up the parameters of a query, it’s possible to process, filter, and select the required information to later act on it. This way, no matter how huge the database is, you will be able to get powerful insights from it. These are the most common reasons for using SQL when working with ordinary tasks related to data management. With that being said, we can see that SQL that was created in 1970 is still in use, and moreover, it remains one of the most in-demand skills for everyone planning a career in data science and it’s not going away anytime soon.