#sql server to mysql

[lucid-outsourcing-solutions]

How to Configure ColdFusion Datasource for MySQL, SQL Server, and PostgreSQL?

[sabelacarsonsblog]

The Role of SQL Developers in Modern Data Management: Why You Need Them

Explore the pivotal role of SQL developers in today's data management landscape. Uncover their essential skills, contributions, and how they optimize data handling and business intelligence.

[tpointtechblog]

Mastering Aggregate Functions in SQL: A Comprehensive Guide

Introduction to SQL: In the realm of relational databases, Structured Query Language (SQL) serves as a powerful tool for managing and manipulating data. Among its many capabilities, SQL offers a set of aggregate functions that allow users to perform calculations on groups of rows to derive meaningful insights from large datasets.

Learn how to use SQL aggregate functions like SUM, AVG, COUNT, MIN, and MAX to analyze data efficiently. This comprehensive guide covers syntax, examples, and best practices to help you master SQL queries for data analysis.

[trainingin2inglobal]

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[it-online]

Microsoft disponibiliza SQL Server Migration Assistant V9.4

A Microsoft disponibilizou recentemente a versão 9.4 do Microsoft SQL Server Migration Assistant, uma ferramenta gratuita que simplifica a migração de Access, MySQL, SAP Adaptive Server Enterprise, Oracle Database e IBM DB2 para SQL Server e Azure SQL DB. Continue reading Untitled

[tototavros]

I should write up something about the history of antitrust and open source development, specifically of SQL

back in the day, back when we had antitrust and before WWII, antitrust laws were often used to go after small and medium sized businesses who would come together and build up information, e.g. about how much suppliers would charge each of them for lumber or furniture makers creating a design book so each of the partners could take advantage of each others' improvements of technique

and big business would find a sympathetic small business and make it worth their while to complain that oh poor me I'm being left out while they're colluding for profit!

on sql, part of why Oracle became such a monster was Oracle SQL server, which Oracle was very good at making sure you paid for. and Microsoft had a decent SQL package as well but it was for Microsoft Winblows

and my impression is that a bunch of big corps like Google, FB, etc. came together and decided to make sure that development of open source SQL alternatives and now everyone writes Postgres, MySql or Sqlite

which doesn't have the issues of previous antitrust cases, because since it was open source, to take advantage of brilliant but ideological contributors, there were no competitors harmed and no standing to allege a restraint of trade

interesting to think about now that the Internet has made dissemination and convening of information

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

Tableau is a powerful tool that helps data scientists, analysts, and businesses see and understand data better. It simplifies complex datasets, making them interactive and easy to interpret. But with so many tools available, why is Tableau a must-have for data science? Let’s explore.

1. The Importance of Data Visualization in Data Science

Imagine you’re working with millions of data points from customer purchases, social media interactions, or financial transactions. Analyzing raw numbers manually would be overwhelming.

That’s why visualization is crucial in data science:

Identifies trends and patterns – Instead of sifting through spreadsheets, you can quickly spot trends in a visual format.

Makes complex data understandable – Graphs, heatmaps, and dashboards simplify the interpretation of large datasets.

Enhances decision-making – Stakeholders can easily grasp insights and make data-driven decisions faster.

Saves time and effort – Instead of writing lengthy reports, an interactive dashboard tells the story in seconds.

Without tools like Tableau, data science would be limited to experts who can code and run statistical models. With Tableau, insights become accessible to everyone—from data scientists to business executives.

2. Why Tableau Stands Out in Data Science

A. User-Friendly and Requires No Coding

One of the biggest advantages of Tableau is its drag-and-drop interface. Unlike Python or R, which require programming skills, Tableau allows users to create visualizations without writing a single line of code.

Even if you’re a beginner, you can:

✅ Upload data from multiple sources

✅ Create interactive dashboards in minutes

✅ Share insights with teams easily

This no-code approach makes Tableau ideal for both technical and non-technical professionals in data science.

B. Handles Large Datasets Efficiently

Data scientists often work with massive datasets—whether it’s financial transactions, customer behavior, or healthcare records. Traditional tools like Excel struggle with large volumes of data.

Tableau, on the other hand:

Can process millions of rows without slowing down

Optimizes performance using advanced data engine technology

Supports real-time data streaming for up-to-date analysis

This makes it a go-to tool for businesses that need fast, data-driven insights.

C. Connects with Multiple Data Sources

A major challenge in data science is bringing together data from different platforms. Tableau seamlessly integrates with a variety of sources, including:

Databases: MySQL, PostgreSQL, Microsoft SQL Server

Cloud platforms: AWS, Google BigQuery, Snowflake

Spreadsheets and APIs: Excel, Google Sheets, web-based data sources

This flexibility allows data scientists to combine datasets from multiple sources without needing complex SQL queries or scripts.

D. Real-Time Data Analysis

Industries like finance, healthcare, and e-commerce rely on real-time data to make quick decisions. Tableau’s live data connection allows users to:

Track stock market trends as they happen

Monitor website traffic and customer interactions in real time

Detect fraudulent transactions instantly

Instead of waiting for reports to be generated manually, Tableau delivers insights as events unfold.

E. Advanced Analytics Without Complexity

While Tableau is known for its visualizations, it also supports advanced analytics. You can:

Forecast trends based on historical data

Perform clustering and segmentation to identify patterns

Integrate with Python and R for machine learning and predictive modeling

This means data scientists can combine deep analytics with intuitive visualization, making Tableau a versatile tool.

3. How Tableau Helps Data Scientists in Real Life

Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

A. Analytics for Health Care

Tableau is deployed by hospitals and research institutions for the following purposes:

Monitor patient recovery rates and predict outbreaks of diseases

Analyze hospital occupancy and resource allocation

Identify trends in patient demographics and treatment results

B. Finance and Banking

Banks and investment firms rely on Tableau for the following purposes:

✅ Detect fraud by analyzing transaction patterns

✅ Track stock market fluctuations and make informed investment decisions

✅ Assess credit risk and loan performance

C. Marketing and Customer Insights

Companies use Tableau to:

✅ Track customer buying behavior and personalize recommendations

✅ Analyze social media engagement and campaign effectiveness

✅ Optimize ad spend by identifying high-performing channels

D. Retail and Supply Chain Management

Retailers leverage Tableau to:

✅ Forecast product demand and adjust inventory levels

✅ Identify regional sales trends and adjust marketing strategies

✅ Optimize supply chain logistics and reduce delivery delays

These applications show why Tableau is a must-have for data-driven decision-making.

4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[sqlinjection]

How to test app for the SQL injection

During code review

Check for any queries to the database are not done via prepared statements.

If dynamic statements are being made please check if the data is sanitized before used as part of the statement.

Auditors should always look for uses of sp_execute, execute or exec within SQL Server stored procedures. Similar audit guidelines are necessary for similar functions for other vendors.

Automated Exploitation

Most of the situation and techniques on testing an app for SQLi can be performed in a automated way using some tools (e.g. perform an automated auditing using SQLMap)

Equally Static Code Analysis Data flow rules can detect of unsanitised user controlled input can change the SQL query.

Stored Procedure Injection

When using dynamic SQL within a stored procedure, the application must properly sanitise the user input to eliminate the risk of code injection. If not sanitised, the user could enter malicious SQL that will be executed within the stored procedure.

Time delay Exploitation technique

The time delay exploitation technique is very useful when the tester find a Blind SQL Injection situation, in which nothing is known on the outcome of an operation. This technique consists in sending an injected query and in case the conditional is true, the tester can monitor the time taken to for the server to respond. If there is a delay, the tester can assume the result of the conditional query is true. This exploitation technique can be different from DBMS to DBMS.

http://www.example.com/product.php?id=10 AND IF(version() like '5%', sleep(10), 'false'))--

In this example the tester is checking whether the MySql version is 5.x or not, making the server delay the answer by 10 seconds. The tester can increase the delay time and monitor the responses. The tester also doesn't need to wait for the response. Sometimes they can set a very high value (e.g. 100) and cancel the request after some seconds.

Out-of-band Exploitation technique

This technique is very useful when the tester find a Blind SQL Injection situation, in which nothing is known on the outcome of an operation. The technique consists of the use of DBMS functions to perform an out of band connection and deliver the results of the injected query as part of the request to the tester's server. Like the error based techniques, each DBMS has its own functions. Check for specific DBMS section.

[firstbitsolutions]

Which is better full stack development or testing?

Full Stack Development vs Software Testing: Which Career Path is Right for You?

In today’s rapidly evolving IT industry, choosing the right career path can be challenging. Two popular options are Full Stack Development and Software Testing. Both of these fields offer unique opportunities and cater to different skill sets, making it essential to assess which one aligns better with your interests, goals, and long-term career aspirations.

At FirstBit Solutions, we take pride in offering a premium quality of teaching, with expert-led courses designed to provide real-world skills. Our goal is to help you know, no matter which path you choose. Whether you’re interested in development or testing, our 100% unlimited placement call guarantee ensures ample job opportunities. In this answer, we’ll explore both career paths to help you make an informed decision.

Understanding Full Stack Development

What is Full Stack Development?

Full Stack Development involves working on both the front-end (client-side) and back-end (server-side) of web applications. Full stack developers handle everything from designing the user interface (UI) to managing databases and server logic. They are versatile professionals who can oversee a project from start to finish.

Key Skills Required for Full Stack Development

To become a full stack developer, you need a diverse set of skills, including:

Front-End Technologies: HTML, CSS, and JavaScript are the fundamental building blocks of web development. Additionally, proficiency in front-end frameworks like React, Angular, or Vue.js is crucial for creating dynamic and responsive web interfaces.

Back-End Technologies: Understanding back-end programming languages like Node.js, Python, Ruby, Java, or PHP is essential for server-side development. Additionally, knowledge of frameworks like Express.js, Django, or Spring can help streamline development processes.

Databases: Full stack developers must know how to work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.

Version Control and Collaboration: Proficiency in tools like Git, GitHub, and agile methodologies is important for working in a collaborative environment.

Job Opportunities in Full Stack Development

Full stack developers are in high demand due to their versatility. Companies often prefer professionals who can handle both front-end and back-end tasks, making them valuable assets in any development team. Full stack developers can work in:

Web Development

Mobile App Development

Enterprise Solutions

Startup Ecosystems

The flexibility to work on multiple layers of development opens doors to various career opportunities. Moreover, the continuous rise of startups and digital transformation initiatives has further fueled the demand for full stack developers.

Benefits of Choosing Full Stack Development

High Demand: The need for full stack developers is constantly increasing across industries, making it a lucrative career choice.

Versatility: You can switch between front-end and back-end tasks, giving you a holistic understanding of how applications work.

Creativity: If you enjoy creating visually appealing interfaces while also solving complex back-end problems, full stack development allows you to engage both creative and logical thinking.

Salary: Full stack developers typically enjoy competitive salaries due to their wide skill set and ability to handle various tasks.

Understanding Software Testing

What is Software Testing?

Software Testing is the process of evaluating and verifying that a software product or application is free of defects, meets specified requirements, and functions as expected. Testers ensure the quality and reliability of software by conducting both manual and automated tests.

Key Skills Required for Software Testing

To succeed in software testing, you need to develop the following skills:

Manual Testing: Knowledge of testing techniques, understanding different testing types (unit, integration, system, UAT, etc.), and the ability to write test cases are fundamental for manual testing.

Automated Testing: Proficiency in tools like Selenium, JUnit, TestNG, or Cucumber is essential for automating repetitive test scenarios and improving efficiency.

Attention to Detail: Testers must have a keen eye for identifying potential issues, bugs, and vulnerabilities in software systems.

Scripting Knowledge: Basic programming skills in languages like Java, Python, or JavaScript are necessary to write and maintain test scripts for automated testing.

Job Opportunities in Software Testing

As the demand for high-quality software increases, so does the need for skilled software testers. Companies are investing heavily in testing to ensure that their products perform optimally in the competitive market. Software testers can work in:

Manual Testing

Automated Testing

Quality Assurance (QA) Engineering

Test Automation Development

With the rise of Agile and DevOps methodologies, the role of testers has become even more critical. Continuous integration and continuous delivery (CI/CD) pipelines rely on automated testing to deliver reliable software faster.

Benefits of Choosing Software Testing

Job Security: With software quality being paramount, skilled testers are in high demand, and the need for testing professionals will only continue to grow.

Quality Assurance: If you have a knack for perfection and enjoy ensuring that software works flawlessly, testing could be a satisfying career.

Automated Testing Growth: The shift toward automation opens up new opportunities for testers to specialize in test automation tools and frameworks, which are essential for faster releases.

Flexibility: Testing provides opportunities to work across different domains and industries, as almost every software product requires thorough testing.

Full Stack Development vs Software Testing: A Comparative Analysis

Let’s break down the major factors that could influence your decision:

Factors

Full Stack Development

Software Testing

Skills

Proficiency in front-end and back-end technologies, databases

Manual and automated testing, attention to detail, scripting

Creativity

High – involves creating and designing both UI and logic

Moderate – focuses on improving software through testing and validation

Job Roles

Web Developer, Full Stack Engineer, Mobile App Developer

QA Engineer, Test Automation Engineer, Software Tester

Career Growth

Opportunities to transition into senior roles like CTO or Solution Architect

Growth towards roles in automation and quality management

Salary

Competitive with wide-ranging opportunities

Competitive, with automation testers in higher demand

Demand

High demand due to increasing digitalization and web-based applications

Consistently high, especially in Agile/DevOps environments

Learning Curve

Steep – requires mastering multiple languages and technologies

Moderate – requires a focus on testing tools, techniques, and automation

Why Choose FirstBit Solutions for Full Stack Development or Software Testing?

At FirstBit Solutions, we provide comprehensive training in both full stack development and software testing. Our experienced faculty ensures that you gain hands-on experience and practical knowledge in the field of your choice. Our 100% unlimited placement call guarantee ensures that you have ample opportunities to land your dream job, no matter which course you pursue. Here’s why FirstBit is your ideal training partner:

Expert Trainers: Learn from industry veterans with years of experience in development and testing.

Real-World Projects: Work on real-world projects that simulate industry scenarios, providing you with the practical experience needed to excel.

Job Assistance: Our robust placement support ensures you have access to job openings with top companies.

Flexible Learning: Choose from online and offline batch options to fit your schedule.

Conclusion: Which Career Path is Right for You?

Ultimately, the choice between full stack development and software testing comes down to your personal interests, skills, and career aspirations. If you’re someone who enjoys building applications from the ground up, full stack development might be the perfect fit for you. On the other hand, if you take satisfaction in ensuring that software is of the highest quality, software testing could be your calling.

At FirstBit Solutions, we provide top-notch training in both fields, allowing you to pursue your passion and build a successful career in the IT industry. With our industry-aligned curriculum, expert guidance, and 100% placement call guarantee, your future is in good hands.

So, what are you waiting for? Choose the course that excites you and start your journey toward a rewarding career today!

[java-full-stack-izeon]

java full stack

A Java Full Stack Developer is proficient in both front-end and back-end development, using Java for server-side (backend) programming. Here's a comprehensive guide to becoming a Java Full Stack Developer:

1. Core Java

Fundamentals: Object-Oriented Programming, Data Types, Variables, Arrays, Operators, Control Statements.

Advanced Topics: Exception Handling, Collections Framework, Streams, Lambda Expressions, Multithreading.

2. Front-End Development

HTML: Structure of web pages, Semantic HTML.

CSS: Styling, Flexbox, Grid, Responsive Design.

JavaScript: ES6+, DOM Manipulation, Fetch API, Event Handling.

Frameworks/Libraries:

React: Components, State, Props, Hooks, Context API, Router.

Angular: Modules, Components, Services, Directives, Dependency Injection.

Vue.js: Directives, Components, Vue Router, Vuex for state management.

3. Back-End Development

Java Frameworks:

Spring: Core, Boot, MVC, Data JPA, Security, Rest.

Hibernate: ORM (Object-Relational Mapping) framework.

Building REST APIs: Using Spring Boot to build scalable and maintainable REST APIs.

4. Database Management

SQL Databases: MySQL, PostgreSQL (CRUD operations, Joins, Indexing).

NoSQL Databases: MongoDB (CRUD operations, Aggregation).

5. Version Control/Git

Basic Git commands: clone, pull, push, commit, branch, merge.

Platforms: GitHub, GitLab, Bitbucket.

6. Build Tools

Maven: Dependency management, Project building.

Gradle: Advanced build tool with Groovy-based DSL.

7. Testing

Unit Testing: JUnit, Mockito.

Integration Testing: Using Spring Test.

8. DevOps (Optional but beneficial)

Containerization: Docker (Creating, managing containers).

CI/CD: Jenkins, GitHub Actions.

Cloud Services: AWS, Azure (Basics of deployment).

9. Soft Skills

Problem-Solving: Algorithms and Data Structures.

Communication: Working in teams, Agile/Scrum methodologies.

Project Management: Basic understanding of managing projects and tasks.

Learning Path

Start with Core Java: Master the basics before moving to advanced concepts.

Learn Front-End Basics: HTML, CSS, JavaScript.

Move to Frameworks: Choose one front-end framework (React/Angular/Vue.js).

Back-End Development: Dive into Spring and Hibernate.

Database Knowledge: Learn both SQL and NoSQL databases.

Version Control: Get comfortable with Git.

Testing and DevOps: Understand the basics of testing and deployment.

Resources

Books:

Effective Java by Joshua Bloch.

Java: The Complete Reference by Herbert Schildt.

Head First Java by Kathy Sierra & Bert Bates.

Online Courses:

Coursera, Udemy, Pluralsight (Java, Spring, React/Angular/Vue.js).

FreeCodeCamp, Codecademy (HTML, CSS, JavaScript).

Documentation:

Official documentation for Java, Spring, React, Angular, and Vue.js.

Community and Practice

GitHub: Explore open-source projects.

Stack Overflow: Participate in discussions and problem-solving.

Coding Challenges: LeetCode, HackerRank, CodeWars for practice.

By mastering these areas, you'll be well-equipped to handle the diverse responsibilities of a Java Full Stack Developer.

visit https://www.izeoninnovative.com/izeon/

[debbymatt]

Dicas e Recomendações p/ iniciantes em Programação

Tenho me deparado constantemente com os questionamento, de colegas e amigos, sobre: como começar a programar ou para alguns, "codar" ?

Apesar de não ser a minha especialização e muito longe área de interesse, pensei em uma maneira de construir um fluxograma de processo e recomendação de conteúdo para estudar e aprender a programar.

Mas de antemão, deixarei um adendo e recorte de um comentário que li num vídeo do YouTube, tratando justamente sobre o assunto, de Waldeck Vieira.

"Sou desenvolvedor com anos de experiência e vou dar as minhas dicas, principalmente com tantas promessas absurdas que tem hoje de cursos que fazem você virar desenvolvedor em um mês!

Curso é importante sim, mas não vai te fazer virar um desenvolvedor bom em poucos meses!

Estudar é importante sim, mas o que vai fazer você ficar bom, é o treino! Treinar, treinar e treinar muito todos os itens que vou destacar abaixo. É igual aprender a tocar um piano bem, vc nunca vai ser um bom pianista em poucos meses e só estudando teoria, o que vai fazer vc ficar bom é o treino diário!

Não se preocupe em decorar nada, o importante é treinar e entender! Decorar só serve para fazer prova de colégio ou prova de emprego. Mas não mede sua capacidade! Os comandos vc decora praticando!

Já vi muito youtuber bom dizendo que precisa decorar as coisas! Isso é um absurdo, ainda mais hoje que tudo muda toda hora! E cada linguagem vc tem uma forma de escrever os comandos(sintaxe), então não precisa decorar tudo! Ninguém, nem o melhor dev do mundo sabe tudo decorado! O que ele sabe é resolver e entende muita coisa, quando esquece a sintaxe de algo, ele simplesmente consulta na documentação ou na net!

Você só começa a ser um bom desenvolvedor a partir de pelo menos, no mínimo, uns 6 meses de muita prática! Agora ser um dos melhores só fazendo projetos reais e tendo um emprego! Então, mesmo que vc pense em trabalhar com a programação, tenha um emprego, por pelo menos 1 ano! Vc vai ver como vc vai evoluir!

Não precisa começar a estudar só no caderno, escolha uma linguagem, como Python ou JavaScript e pratique nela todos os conceitos!

Itens mais importante para começar e eu iria nessa sequencia. Pratique por pelo menos duas semanas cada item, e tente entender muito bem, e já use uma linguagem, tipo Python ou JavaScript:

Variáveis e seus tipos, case sensitive, constantes, identação do código, condicionais (o famoso if), loops (os famosos for e while), procedures, funções, algoritmos para tratamento de strings, arrays, estrutura de dados aplicada na linguagem escolhida(Essa realmente é uma parte muito importante), conceitos de orientação a objeto. Esse para mim é o básico.

Treine pelo menos uns 5 meses tudo isso! Depois você precisa estudar e praticar, HTML, CSS combinado com JavaScript, mesmo que vc não vá desenvolver para a web, mas vc pode precisar criar um serviço na web para um sistema que vc desenvolveu! Depois estude linguagem SQL para banco de dados, usando uma IDE de desenvolvimento para banco (SQL Server ou MySQL), eu indico!

E uma dica, banco de dados é um mundo a parte, e vc precisa dominar muito a linguagem SQL, dos bancos relacionais (SQL Server, MySQL, Oracle e etc), que é comum em todos os bancos de dados, pois é com ela que vc manipulas os dados, e corrige erros, aumenta a performance de uma consulta e etc!

Então depois de pelo menos mais de 6 meses a 1 ano, estudando e praticando muito tudo isso que coloquei. Desenvolva projetos reais, usando uma linguagem e um banco de dados. E a partir dai, se possível arrume um emprego, e sempre estude e pratique muito em qualquer linguagem e nas novidades do mercado! É isso!".

Portanto, repassado todos os alertas que já venho feito, passarei indicações de conteúdo e ferramentas.

Começaremos pela IDE, mas o que é isso? é um Ambiente de Desenvolvimento no qual utilizamos para programar ou codificar.

Vale ressaltar que a IDE pode variar de linguagem para linguagem no qual ira programar. Citarei alguns a seguir, gratuitos:

JavaScript, recomendo o Visual Studio Code. Pois o VS Code, é uma ferramenta simples, esta sendo constantemente tendo correção de bugs, disponível em diversos idiomas, inclusive PT-Br, compatível com os sistemas: Windows, Linux e Mac. E é possível compilar nas mais diversas linguagens de programação, além de muitas outras funcionalidades, que deixarei vocês conhecerem por si mesmos;

Python, indico o PyCharm e Jupyter Notebook. O VS Code também é uma boa, porém um pouco mais trabalhoso para desenvolver. Mas porque, o python se utiliza de uma IDE especifica ? Por causa, da necessidade de invocar Bibliotecas (coleção de subprogramas usados no desenvolvimento de softwares). Quando trabalhamos com o VS Code por exemplo, toda biblioteca que for utilizar, ira ter que realizar a instalação através do Prompt de comando, ou Terminal, se seu sistema for Linux. Já se vc utilizar IDEs como: Pycharm e Jupyter Notebook, não terá a dor de cabeça de pensar nesse aspecto. E o fato de que não tem a necessidade de criar ou ajustar um venv e outros;

SQL, destaco o MySQL Workbench, Oracle SQL e SQL Server Management Studio (SSMS). O SQL, é uma linguagem que geralmente se organiza em planilha ou tabelas de larga escala, que para quem deseja programar nesta linguagem se faz necessário uma ferramenta que trabalhe especificamente com isso e proporcione uma visualização clara e precisa dos dados, para assim poder fazer a estruturação.

Por se tratar de guia para programadores iniciantes, ficaremos apenas nesses linguagens.

Acrescento que ao contrário do que muitos pensam, HTML e CSS, NÃO SÃO LINGUAGENS DE PROGRAMAÇÃO!

São apenas Linguagens de Marcação e Formatação de Texto e Estilo.

HTML: linguagem de marcação utilizada para estruturar os elementos da página, como parágrafos, links, títulos, tabelas, imagens e até vídeos.

CSS: linguagem de estilos utilizada para definir cores, fontes, tamanhos, posicionamento e qualquer outro valor estético para os elementos da página.

JavaScript: linguagem de programação utilizada para deixar a página com mais movimento, podendo atualizar elementos dinamicamente e lidar melhor com dados enviados e recebidos na página.

Exemplo dessa combinação:

Explicação simples e didática que emprestei da Alura.

Já recomendado IDEs, esclarecido algumas confusões que ocorrem, darei prosseguimento para a indicação de conteúdos para estudo.

Eu particularmente, comecei a ter noção de lógica de programação e a saber a programar jogando os APPs, que foram desenvolvidos especificamente para isso:

Grasshopper, é o aplicativo desenvolvido pela Google, que tem o objetivo de ensinar a linguagem JavaScript, Recursos: quebra-cabeças visuais desenvolvem suas habilidades de resolução de problemas e solidificam os conceitos de programação; feedback em tempo real te orienta como um professor; coleciona conquistas à medida que aprende novas habilidades e ganha certificado.

O aplicativo está disponível para Android e iOS. 

Mimo, o aplicativo te instruí a desenvolver em: HTML, JavaScript, CSS, Python e SQL. Além do que já destaquei no app anterior e a possibilidade de dialogar e competir com outra pessoas que também o utilizam para aprender a programar.

O aplicativo está disponível para Android e iOS. 

Meoweb: Jogo de programação, a ideia do jogo é que você precisa ajudar Agatha a resgatar os gatinhos perdidos. Você precisa resolver os quebra-cabeças que estão nas plataformas para ajudá-la. Você receberá diferentes desafios que precisa resolver para chegar ao próximo nível. Que consiste em comandos em CSS, é muito fofo e divertido.

Disponível apenas para Android.

 Code Combat, é jogo apenas na versão web, onde vocês podem aprender a desenvolver em Python, JavaScript, CoffeeScript e Lua. A curva de aprendizado é bastante suave, começando com comandos básicos de lógica em um universo agradável e colorido. Tudo isso é possível graças à ação de colaboradores do mundo todo, em um projeto aberto, com página no Github. 

Disponível em diversos idiomas, incluindo português.

E a vídeos aulas:

Canal Curso em Vídeo :

Algoritmos e Lógica de Programação;

Banco de Dados com MySQL;

HTML5 + CSS3 + JavaScript;

HTML + CSS (módulo 1);

HTML + CSS (módulo 2);

HTML + CSS (módulo 3);

HTML + CSS (módulo 4);

JavaScript e ECMAScript;

Python 1 (princípios básicos);

Python 2 (Estrutura de Controle);

Python 3 (Estrutura Composta).

Vale ressaltar que uma coisa importantíssima é tornar disponível e visível os seus trabalhos, e uma ótima plataforma para isso, com uma ampla comunidade é o GitHub.

Mas o que é o GitHub ?

É uma plataforma de hospedagem de código-fonte e arquivos com controle de versão usando o Git. Ele permite que programadores, utilitários ou qualquer usuário cadastrado na plataforma contribuam em projetos privados e/ou Open Source de qualquer lugar do mundo. - Wikipédia.

Por ser uma plataforma que será importante para o desenvolvimento de seus projetos e trabalhos, e portfólio futuro, deixarei vídeos que te auxiliaram a adquirir o conhecimento pleno das funcionalidades da plataforma.

Curso de Git e GitHub.

Como personalizar o seu perfil no GitHub.

Ademais, acredito que isso é tudo pessoal, o vídeo que me inspirou em escrever esse post na tentativa de auxiliar, desfazer desentendidos e indica conteúdo, foi o casal do canal Código Fonte TV: O MÍNIMO QUE VOCÊ PRECISA SABER ANTES DE PROGRAMAR!.

No qual desmitifica e apoia toda a argumentação e pontos que destaquei até aqui e é claro recomenda mais conteúdo teórico, além do que já escrevi.

Espero ter ajudado em alguma coisa ou mesmo tirado a dúvida de vocês, sintam-se a vontade de curtir, compartilhar e comentar nestes post e outros.

Desde já agradeço pelo seu tempo e atenção, e até um próximo post.

Referências Bibliográficas do que foi abordado:

HTML, CSS e Javascript, quais as diferenças? ;

IDE PARA PYTHON: O QUE É, COMO ESCOLHER E LISTA DAS MELHORES;

Link das IDEs:

Jupyter Notebook;

MySQL Workbench;

Oracle SQL;

PyCharm;

SQL Server Management Studio (SSMS);

Visual Studio Code.

Vídeo Aulas recomendadas:

Algoritmos e Lógica de Programação;

Banco de Dados com MySQL;

Curso de Git e GitHub.

Como personalizar o seu perfil no GitHub.

HTML5 + CSS3 + JavaScript;

HTML + CSS (módulo 1);

HTML + CSS (módulo 2);

HTML + CSS (módulo 3);

HTML + CSS (módulo 4);

JavaScript e ECMAScript;

Python 1 (princípios básicos);

Python 2 (Estrutura de Controle);

Python 3 (Estrutura Composta).

O MÍNIMO QUE VOCÊ PRECISA SABER ANTES DE PROGRAMAR!

Aplicativos recomendados:

Code Combat;

Grasshopper;

Meoweb: Jogo de programação;

Mimo.

[monisha1199]

Exploring the Power of Amazon Web Services: Top AWS Services You Need to Know

In the ever-evolving realm of cloud computing, Amazon Web Services (AWS) has established itself as an undeniable force to be reckoned with. AWS's vast and diverse array of services has positioned it as a dominant player, catering to the evolving needs of businesses, startups, and individuals worldwide. Its popularity transcends boundaries, making it the preferred choice for a myriad of use cases, from startups launching their first web applications to established enterprises managing complex networks of services. This blog embarks on an exploratory journey into the boundless world of AWS, delving deep into some of its most sought-after and pivotal services.

As the digital landscape continues to expand, understanding these AWS services and their significance is pivotal, whether you're a seasoned cloud expert or someone taking the first steps in your cloud computing journey. Join us as we delve into the intricate web of AWS's top services and discover how they can shape the future of your cloud computing endeavors. From cloud novices to seasoned professionals, the AWS ecosystem holds the keys to innovation and transformation. 

Amazon EC2 (Elastic Compute Cloud): The Foundation of Scalability At the core of AWS's capabilities is Amazon EC2, the Elastic Compute Cloud. EC2 provides resizable compute capacity in the cloud, allowing you to run virtual servers, commonly referred to as instances. These instances serve as the foundation for a multitude of AWS solutions, offering the scalability and flexibility required to meet diverse application and workload demands. Whether you're a startup launching your first web application or an enterprise managing a complex network of services, EC2 ensures that you have the computational resources you need, precisely when you need them.

Amazon S3 (Simple Storage Service): Secure, Scalable, and Cost-Effective Data Storage When it comes to storing and retrieving data, Amazon S3, the Simple Storage Service, stands as an indispensable tool in the AWS arsenal. S3 offers a scalable and highly durable object storage service that is designed for data security and cost-effectiveness. This service is the choice of businesses and individuals for storing a wide range of data, including media files, backups, and data archives. Its flexibility and reliability make it a prime choice for safeguarding your digital assets and ensuring they are readily accessible.

Amazon RDS (Relational Database Service): Streamlined Database Management Database management can be a complex task, but AWS simplifies it with Amazon RDS, the Relational Database Service. RDS automates many common database management tasks, including patching, backups, and scaling. It supports multiple database engines, including popular options like MySQL, PostgreSQL, and SQL Server. This service allows you to focus on your application while AWS handles the underlying database infrastructure. Whether you're building a content management system, an e-commerce platform, or a mobile app, RDS streamlines your database operations.

AWS Lambda: The Era of Serverless Computing Serverless computing has transformed the way applications are built and deployed, and AWS Lambda is at the forefront of this revolution. Lambda is a serverless compute service that enables you to run code without the need for server provisioning or management. It's the perfect solution for building serverless applications, microservices, and automating tasks. The unique pricing model ensures that you pay only for the compute time your code actually uses. This service empowers developers to focus on coding, knowing that AWS will handle the operational complexities behind the scenes.

Amazon DynamoDB: Low Latency, High Scalability NoSQL Database Amazon DynamoDB is a managed NoSQL database service that stands out for its low latency and exceptional scalability. It's a popular choice for applications with variable workloads, such as gaming platforms, IoT solutions, and real-time data processing systems. DynamoDB automatically scales to meet the demands of your applications, ensuring consistent, single-digit millisecond latency at any scale. Whether you're managing user profiles, session data, or real-time analytics, DynamoDB is designed to meet your performance needs.

Amazon VPC (Virtual Private Cloud): Tailored Networking for Security and Control Security and control over your cloud resources are paramount, and Amazon VPC (Virtual Private Cloud) empowers you to create isolated networks within the AWS cloud. This isolation enhances security and control, allowing you to define your network topology, configure routing, and manage access. VPC is the go-to solution for businesses and individuals who require a network environment that mirrors the security and control of traditional on-premises data centers.

Amazon SNS (Simple Notification Service): Seamless Communication Across Channels Effective communication is a cornerstone of modern applications, and Amazon SNS (Simple Notification Service) is designed to facilitate seamless communication across various channels. This fully managed messaging service enables you to send notifications to a distributed set of recipients, whether through email, SMS, or mobile devices. SNS is an essential component of applications that require real-time updates and notifications to keep users informed and engaged.

Amazon SQS (Simple Queue Service): Decoupling for Scalable Applications Decoupling components of a cloud application is crucial for scalability, and Amazon SQS (Simple Queue Service) is a fully managed message queuing service designed for this purpose. It ensures reliable and scalable communication between different parts of your application, helping you create systems that can handle varying workloads efficiently. SQS is a valuable tool for building robust, distributed applications that can adapt to changes in demand.

In the rapidly evolving landscape of cloud computing, Amazon Web Services (AWS) stands as a colossus, offering a diverse array of services that address the ever-evolving needs of businesses, startups, and individuals alike. AWS's popularity transcends industry boundaries, making it the go-to choice for a wide range of use cases, from startups launching their inaugural web applications to established enterprises managing intricate networks of services.

To unlock the full potential of these AWS services, gaining comprehensive knowledge and hands-on experience is key. ACTE Technologies, a renowned training provider, offers specialized AWS training programs designed to provide practical skills and in-depth understanding. These programs equip you with the tools needed to navigate and excel in the dynamic world of cloud computing.

With AWS services at your disposal, the possibilities are endless, and innovation knows no bounds. Join the ever-growing community of cloud professionals and enthusiasts, and empower yourself to shape the future of the digital landscape. ACTE Technologies is your trusted guide on this journey, providing the knowledge and support needed to thrive in the world of AWS and cloud computing.

[web-scraping-tutorial-blog]

5 useful tools for engineers! Introducing recommendations to improve work efficiency

Engineers have to do a huge amount of coding. It’s really tough having to handle other duties and schedule management at the same time. Having the right tools is key to being a successful engineer.

Here are some tools that will help you improve your work efficiency.

1.SourceTree

“SourceTree” is free Git client software provided by Atlassian. It is a tool for source code management and version control for developers and teams using the version control system called Git. When developers and teams use Git to manage projects, it supports efficient development work by providing a visualized interface and rich functionality.

2.Charles

“Charles” is an HTTP proxy tool for web development and debugging, and a debugging proxy tool for capturing HTTP and HTTPS traffic, visualizing and analyzing communication between networks. This allows web developers and system administrators to observe requests and responses for debugging, testing, performance optimization, and more.

3.iTerm2

“iTerm2” is a highly functional terminal emulator for macOS, and is an application that allows terminal operations to be performed more comfortably and efficiently. It offers more features than the standard Terminal application. It has rich features such as tab splitting, window splitting, session management, customizable appearance, and script execution.

4.Navicat

Navicat is an integrated tool for performing database management and development tasks and supports many major database systems (MySQL, PostgreSQL, SQLite, Oracle, SQL Server, etc.). Using Navicat, you can efficiently perform tasks such as database structure design, data editing and management, SQL query execution, data modeling, backup and restore.

5.CodeLF

CodeLF (Code Language Framework) is a tool designed to help find, navigate, and understand code within large source code bases. Key features include finding and querying symbols such as functions, variables, and classes in your codebase, viewing code snippets, and visualizing relationships between code. It can aid in efficient code navigation and understanding, increasing productivity in the development process.