In the world of ethical hacking, the first step is always about knowing your target and that’s where WHOIS footprinting comes into play. This technique is a fundamental part of the reconnaissance phase, helping cybersecurity professionals gather publicly available information about a domain long before any active testing begins. Here's what WHOIS can reveal: 👉Domain ownership & contact details 👉Registrar & DNS server info 👉IP address mapping 👉Clues to hidden infrastructure 👉Admin & tech contact leads 🔗Read the full blog: https://medium.com/@Infosec-Train/what-is-whois-footprinting-d7deba21bd1f #EthicalHacking #CyberSecurity #WHOISFootprinting #InfoSec #Reconnaissance #CyberAwareness #SecurityTools #DigitalFootprints #OSINT #InfosecTrain #DomainIntelligence #CyberSkills

Data Build Tool (DBT): Key Features You Need to Know Data Build Tool (DBT) has emerged as a game-changer. DBT is an open-source tool that enables data analysts and engineers to transform data in their warehouse more effectively. With its unique blend of simplicity and power, DBT is now widely used in modern data stacks across startups and enterprises alike. But what exactly makes it stand out? Let’s dive into the key features of DBT that make it so valuable, especially for students and professionals aiming to build strong data skills. 1. SQL-First Approach One of DBT’s most attractive features is that it’s entirely SQL-based. Unlike traditional ETL tools that require learning complex scripting languages, DBT allows users to transform data using just SQL. This lowers the learning curve significantly for students and analysts who are already familiar with SQL, making it accessible and practical for real-world use. 2. Modular Data Modeling DBT encourages building modular models, meaning you can break down complex transformations into smaller, reusable components. Each model is a SQL file that represents a select statement. These models are stored in a directory structure, making the project organized, easy to navigate, and scalable. This approach is very similar to software development, which is why DBT is often referred to as the “T” (Transform) in the modern ELT pipeline. 3. Version Control with Git DBT projects can be version controlled using Git, allowing teams to collaborate, track changes, and roll back when needed. This is crucial for maintaining clean, reliable, and auditable transformation logic. Students learning DBT also gain experience with Git workflows, which are standard in most tech and data roles. 4. Automated Testing for Data Quality Maintaining data quality is one of the most critical tasks in any data project. DBT comes with built-in testing features that let you define assertions on your data. You can check for uniqueness, null values, relationships between tables, and more. These tests help catch data issues early, ensuring that your transformations produce trustworthy results. Data Build Tool Training 5. Data Lineage and Documentation DBT automatically generates documentation for your models, tests, and sources. It also provides a visual representation of your data lineage, showing how data flows between models. This helps users understand dependencies and the overall structure of the data project, which is extremely valuable when working in teams or onboarding new users. 6. Incremental Loads Processing massive datasets can be time-consuming and costly. DBT supports incremental models, which only update new or modified data instead of reprocessing the entire dataset. This makes your data pipelines faster and more efficient, especially important for large-scale production environments. DBT Online Training 7. Seamless Integration with Cloud Data Warehouses DBT integrates with leading cloud data platforms like Snowflake, BigQuery, Redshift, and Databricks. It runs your SQL transformations directly in these warehouses, leveraging their scalability and performance. This allows teams to build robust pipelines without managing separate infrastructure. 8. Active Open-Source Community DBT is open-source and supported by a vibrant community of data professionals. There are tons of tutorials, plugins, Slack groups, and community events where users can learn, share, and collaborate. For students and beginners, this means there’s always help and inspiration just a few clicks away. Conclusion DBT has redefined how we think about data transformation by merging the best practices of software engineering with the needs of modern analytics. With its SQL-first approach, built-in testing, version control, and powerful integrations, DBT empowers data teams to build reliable, scalable, and maintainable data pipelines. For students entering the world of data, learning DBT offers not just technical skills, but also exposure to professional workflows and real-world practices that are in high demand.. Trending Courses: Microsoft Fabric, Gcp Ai, Unqork Training Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about Data Build Tool Training Contact Call/WhatsApp: +91 7032290546 Visit: https://www.visualpath.in/online-data-build-tool-training.html

Mastering Network Discovery with Nmap: A Step-by-Step Guide Network discovery is a cornerstone of ethical hacking and penetration testing, providing critical insights into the devices and services within a network. At the heart of this process lies Nmap (Network Mapper), a powerful open-source tool that has become a staple in the cybersecurity toolkit. More Info: - https://www.infosectrain.com/blog/mastering-network-discovery-with-nmap-a-step-by-step-guide/

If you want to take your testing strategy to the next level, check out the full Cypress tutorial available on the Testomat.io blog, and make sure to explore their cutting-edge tools like Testomat, which will integrate seamlessly with your Cypress tests. https://testomat.io/blog/the-ultimate-cypress-tutorial-how-to-organize-your-advanced-testing-framework/

Simple Guide to Azure DevOps Pipelines Developers may automate the process of writing, testing, and deploying code with Azure DevOps Pipelines, a potent tool included in Microsoft's Azure DevOps package. This guide provides a simple and beginner-friendly overview of how Azure DevOps Pipelines work and why they are essential for modern development workflows. What Are Azure DevOps Pipelines? Azure DevOps Pipelines are automated workflows that help move your code from development to production. They take your application code from a repository (such as GitHub or Azure Repos), build it into a usable format, run tests to ensure everything works correctly, and then deploy it to various environments like development, staging, or production. Instead of performing these steps manually each time you make a change, pipelines handle everything automatically. This not only saves time but also ensures consistency and reduces the chance of human error. Types of Pipelines in Azure DevOps There are two primary types of pipelines you will encounter in Azure DevOps: 1. Build Pipelines Build pipelines are responsible for compiling your code, running unit tests, and generating build artifacts (the files needed for deployment). Through this procedure, you may be sure that your code is ready for deployment and operating properly. Azure DevOps Training Online 2. Release Pipelines Release pipelines take the build artifacts and deploy them to your environments. You can configure release pipelines to deploy to one or multiple environments, add approval gates, and monitor the deployment process. More control over the timing and manner of code release is thus possible. Benefits of Azure DevOps Pipelines Azure DevOps Pipelines offer several benefits to development teams: • Automation: Saves time by automating repetitive tasks like builds and deployments. • Speed: Helps teams deliver features and updates faster. • Consistency: Ensures the same process is followed every time code is deployed. • Error Reduction: Early problem detection is aided by automated testing and validation. • Collaboration: Makes it easier for teams to work together with clear processes. Getting Started with Azure DevOps Pipelines Here’s a simplified overview of how to create and use Azure DevOps Pipelines: Step 1: Set Up Your Project Start by signing into Azure DevOps and creating a new project. This project will serve as the home for your code and pipelines. Azure DevOps Course Step 2: Connect to Your Code Repository Azure DevOps supports multiple code sources including GitHub, Bitbucket, and Azure Repos. Choose the one that holds your code and connect it to your Azure DevOps project. Step 3: Create Your First Pipeline You can create a pipeline by navigating to the Pipelines section and choosing to create a new pipeline. Azure DevOps offers an easy setup wizard that helps you choose your repository, select the type of application you're working with, and configure the basic steps of the pipeline. Step 4: Run and Monitor Your Pipeline Once set up, your pipeline will automatically run whenever you make changes to your code. You can also manually trigger it. Azure DevOps provides detailed logs, status updates, and test results for each run, allowing you to identify and fix any issues quickly. Microsoft Azure DevOps Training Step 5: Set Up a Release Pipeline (Optional) If you want to automate deployments to environments like development or production, you can create a release pipeline. This allows you to deploy builds automatically or after approvals, depending on your needs. Tips for Success • Start Small: Begin with a simple pipeline and gradually add more steps. • Use Source Control: Store pipeline configurations in your version control system. • Automate Testing: Always include tests to catch bugs early. • Add Approvals: For sensitive environments, use manual approval steps. • Monitor Everything: Keep an eye on pipeline performance and results regularly. Conclusion Azure DevOps Pipelines offer a straightforward way to automate software development tasks. Whether you are working solo or as part of a larger team, pipelines help ensure your code is built, tested, and deployed efficiently and reliably. By using Azure DevOps Pipelines, you can reduce manual work, improve software quality, and accelerate delivery cycles—all while maintaining control and visibility throughout the process. Trending Courses: MLOps, GCP DevOps, and AWS DevOps Visualpath is the Leading and Best Software Online Training Institute in Hyderabad. For More Information about Azure DevOps Training in India Contact Call/WhatsApp: +91-7032290546 Visit: https://www.visualpath.in/online-azure-devops-Training.html

Smoke testing is not just a technical requirement; it's a strategic decision. In an era where quality, speed, and user satisfaction are non-negotiable, smoke testing ensures that your software doesn’t just work—it works from the start. https://grabcad.com/groups/robotics/discussions/i-am-looking-for-members-to-build-a-robotic-arm?page=2#p40604

Smoke testing is not just a technical requirement; it's a strategic decision. In an era where quality, speed, and user satisfaction are non-negotiable, smoke testing ensures that your software doesn’t just work—it works from the start. It reduces cost, enhances product stability, and empowers development teams to focus on innovation instead of debugging preventable issues. If you're ready to elevate your QA process and avoid deploying faulty builds, begin by integrating smoke testing as your first line of defense. Use powerful tools like Testomat.io to automate, monitor, and improve smoke test coverage in your CI/CD pipeline. https://zerosuicidetraining.edc.org/user/profile.php?id=452617

If you're ready to elevate your QA process and avoid deploying faulty builds, begin by integrating smoke testing as your first line of defense. Use powerful tools like Testomat.io to automate, monitor, and improve smoke test coverage in your CI/CD pipeline. https://www.bandlab.com/user8804697011270626

This comprehensive guide will delve into what smoke testing entails, when and why it’s conducted, its benefits, real-world examples, and the best tools to perform smoke tests. If you're part of a QA team, a DevOps engineer, or a product manager aiming to boost product quality without wasting time or resources, this article is your definitive primer. https://t.me/s/testomatio_news

This comprehensive guide will delve into what smoke testing entails, when and why it’s conducted, its benefits, real-world examples, and the best tools to perform smoke tests. If you're part of a QA team, a DevOps engineer, or a product manager aiming to boost product quality without wasting time or resources, this article is your definitive primer. https://gravatar.com/spookysoftly4f207c9038