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• The Role of Engineers in Building Ethical Tech ProductsJul 02, 2025. Explore the ethical responsibilities of software engineers and how technical decisions impact society. Learn why ethics in coding, data, AI, and UX is crucial to building responsible and inclusive technology.
• Automating Azure Analysis Services (AAS) Firewall Whitelisting Using Azure Data FactoryJun 30, 2025. This article explains how to automate IP whitelisting in Azure Analysis Services (AAS) using Azure Data Factory (ADF). It covers dynamic firewall rule management using a configuration-driven pipeline, secured with Managed Identity and REST API integration.
• Apache Airflow: Architecture and WorkingJun 30, 2025. Apache Airflow is an open-source workflow orchestration tool that lets you author, schedule, and monitor data pipelines using Python. Ideal for ETL, ML workflows, and complex task dependencies.
• CTOs & CIOs: Ten Strategic Steps to Prepare Your Enterprise for the AI CenturyJun 30, 2025. Discover 10 actionable steps for CTOs and CIOs to lead AI transformation, from building data foundations and governance to scaling infrastructure and embracing responsible, explainable AI practices.
• What is Strings and DictionariesJun 30, 2025. Strings and Dictionaries are core data types in programming. Strings store text, while Dictionaries hold key-value pairs, allowing fast data lookup and organization. Both are widely used.
• Migrate SharePoint On-Premise Data to Online via ShareGateJun 30, 2025. Learn how to migrate data from SharePoint 2019 to SharePoint Online using ShareGate. This guide covers prerequisites, step-by-step migration, authentication, metadata handling, and best practices for success.
• When Should I Use useEffect in React?Jun 26, 2025. Wondering when to use useEffect in React? This guide explains the most common use cases like fetching data, subscriptions, and more—with examples and best practices.
• Mastering .NET ArchitectureJun 26, 2025. This article explains the layers of .NET architecture in a simple, beginner-friendly way. Each layer is described with real-world examples to help understand how .NET applications are built
• Parquet vs Delta Format: Choosing the Right Data Storage SolutionJun 25, 2025. Compare Parquet and Delta formats to choose the best data storage solution. Learn about performance, ACID transactions, schema evolution, and use cases for modern data engineering needs.
• Setting Up Azure Data Fabric Workspaces and Lakehouses Using C# SDKs Jun 24, 2025. Learn how to set up Azure Data Fabric Workspaces and Lakehouses using C# SDKs. This guide covers workspace provisioning, lakehouse creation, and automating data infrastructure with .NET.
• Coalesce vs Repartition in Apache SparkJun 24, 2025. Understand the key differences between coalesce() and repartition() in Apache Spark. Learn when to use each for optimizing performance, managing partitions, and reducing shuffle operations.
• Fourteen Reasons Your Enterprise Is Not Ready for AI (Yet)Jun 23, 2025. Most companies aren’t ready for GenAI. From a lack of strategy to poor data and cultural gaps, success with AI requires more than just tools. It requires mindset shifts, effective governance, and genuine organizational transformation.
• Exporting React Data Grid to PDFJun 23, 2025. Learn how to display and export user data as a PDF in a React app using react-data-table-component, jspdf, and jspdf-autotable. Add sorting, pagination, and download functionality with ease.3/3
• Rethinking Large Language Model Architectures: Toward Self-Learning, Language-Grounded, and Data-Efficient AIJun 23, 2025. A deep dive into evolving LLM architectures, focusing on making AI more self-learning, language-grounded, and data-efficient for smarter, more adaptable models with reduced training overhead.
• How Medallion Architecture Transforms Your Data StrategyJun 21, 2025. Discover how Medallion Architecture revolutionizes your data strategy by organizing data into Bronze, Silver, and Gold layers—enhancing quality, governance, and analytics at every stage.
• Base Data Availability and L1 CommitmentsJun 20, 2025. Explore how Base, built on the OP Stack, ensures secure and scalable transactions via Ethereum L1 Data Availability, while examining costs, fraud-proof mechanisms, and future modular DA layer integrations.
• Understanding Sharding for Scalable Data SystemsJun 20, 2025. Learn how sharding works, why it's essential for scaling modern data systems, and how it improves performance, availability, and storage efficiency in distributed database architectures.
• Data-Driven Testing in Selenium Using Excel and TestNGJun 20, 2025. Learn how to perform data-driven testing in Selenium using Excel and TestNG. Read test data from Excel with Apache POI and automate test execution using TestNG's DataProvider feature.
• Zero-Shot Text Classification with BART and XLM-RobertaJun 19, 2025. In this post, we’ll break down what zero-shot classification is, how it works with BART and XLM-Roberta, and give you a step-by-step tutorial you can run in your own projects.
• What is DBT (Data Build Tool)?Jun 19, 2025. Learn how DBT (Data Build Tool) transforms raw data using SQL, enabling version control, testing, and documentation to bring software engineering best practices into modern, scalable, and reliable data workflows.
• Creating Fabric F64 Capacity: A Guide for Data EngineersJun 19, 2025. Learn how to create and manage F64 capacity in Microsoft Fabric. This step-by-step guide helps data engineers scale workloads, optimize performance, and unlock enterprise-level analytics.
• Database Testing: A Complete GuideJun 19, 2025. Database Testing ensures data accuracy, integrity, and performance by validating schemas, procedures, and operations. This guide covers types, tools, scenarios, and best practices for robust, high-quality data-driven applications.
• The Rise of the Chief Data & AI Officer (CDAIO)Jun 18, 2025. The rise of the Chief Data & AI Officer (CDAIO) unites data and AI leadership, enabling strategic alignment, ethical governance, and innovation at scale across modern, intelligence-driven enterprises.
• Stay Ahead of Data Risks with Microsoft Purview On-Demand ClassificationJun 18, 2025. Stay ahead of data risks using Microsoft Purview On-Demand Classification — scan, classify, and protect sensitive data across your organization with AI-powered insights and control.
• Managed & External Tables in Unity CatalogJun 17, 2025. Learn the key differences between managed and external tables in Unity Catalog, and how they support data governance, optimization, flexibility, and compliance within the Databricks lakehouse architecture.
• How to Use Azure AI Document Intelligence in Power Automate FlowsJun 16, 2025. Automate document processing with Azure AI Document Intelligence and Power Automate. Extract data from PDFs, invoices, and forms with high accuracy—no code needed. Perfect for HR, finance, logistics, and more.
• Unity Catalog vs Hive MetastoreJun 16, 2025. Explore the key differences between Unity Catalog and Hive Metastore for metadata management. Learn which is best for modern data governance, cloud integration, access control, lineage, scalability, and compliance.
• Privacy and Data Leakage in Generative AI: Explained SimplyJun 16, 2025. Learn how generative AI models like ChatGPT and DALL·E handle your data, and what privacy risks or data leaks may occur. This beginner-friendly guide breaks down how AI training works, where data can leak, and how to protect yourself when using GenAI tools.
• Azure Data Fabric: A Comprehensive Guide with C# Examples Jun 16, 2025. Explore Azure Data Fabric with this detailed guide, featuring C# examples to simplify data integration, management, and analytics across hybrid and cloud environments.
• Is prompt engineering a skill worth learning professionally?Jun 14, 2025. Prompt engineering is the practice of designing effective instructions for AI models to optimize outputs in software development, business, marketing, and data analysis. Learn how prompt engineering can be automated, productized into workflows, and why it is a valuable professional skill in 2025.
• Deep Clone vs Shallow Clone in DatabricksJun 13, 2025. Cloning in Databricks refers to creating copies of Delta tables, which can be either deep or shallow. These operations are part of Delta Lake's functionality and provide different approaches to data replication based on your specific needs.
• Vehicle Count Visualization Using ApexCharts in ASP.NET MVCJun 10, 2025. In this snippet, we are working on visualizing vehicle category counts (B and C) using a donut chart powered by ApexCharts.
• Understanding Working of Catalyst Optimizer in PySparkJun 10, 2025. The Catalyst optimizer is Spark's extensible query optimizer that powers both Spark SQL and the DataFrame API.
• 10 Fastest Growing Tech Jobs in 2025Jun 10, 2025. Discover the top 10 fastest growing tech jobs in 2025 — including average salaries, key skills, top cities, remote/offshore opportunities, and the top companies hiring right now.
• 🎲 How to Generate a Random Number or List of Random Numbers in Power Automate DesktopJun 10, 2025. Learn how to generate single or multiple random numbers in Power Automate Desktop for testing, simulations, or dynamic inputs—perfect for RPA, Excel automation, chatbots, and Indian IT project scenarios.
• XGBoost - Most Accurate Modeling Technique for Structured DataJun 09, 2025. Explore gradient boosting and XGBoost in this article, learn how ensemble models work, build prediction models in Python, and optimize performance with parameter tuning and early stopping techniques.
• Data Privacy and Security in Generative AI ApplicationsJun 08, 2025. Generative AI is powerful but risky. Learn how to protect data, avoid security threats like model inversion and prompt injection, and stay compliant with GDPR, HIPAA, and other privacy laws.
• Top 10 Fastest Growing Tech Jobs of the Future (2025–2030)Jun 08, 2025. Discover the fastest growing tech careers from 2025 to 2030, including AI, cybersecurity, cloud, data science, and more. Learn key skills, salary insights, and how to start today.
• Clustering With K-Means Jun 08, 2025. Learn how k-means clustering, an unsupervised learning technique, can enhance feature engineering by grouping data based on similarity, reducing complexity, and improving model performance.
• Clustering With K-Means Practical CaseJun 06, 2025. Learn how to apply unsupervised learning using k-means clustering on California housing data. Explore feature discovery, geographic segmentation, and visual analysis with Python, Seaborn, and scikit-learn.
• What Is Feature EngineeringJun 06, 2025. Feature engineering is the process of transforming raw data into meaningful inputs for machine learning models. It boosts model performance by creating, selecting, and refining features.
• Understanding Window Operations in PandasJun 06, 2025. Window operations are among the most powerful features in pandas for time series analysis and data manipulation.
• Personality Classification - By Supervised (Classification Learning) Jun 05, 2025. This project analyzes personality traits using social and behavioral data. It builds and compares models like SVM, XGBoost, and Neural Networks to predict introversion or extroversion with accuracy and efficiency.
• Horizontal vs Vertical Partitioning in SQLJun 04, 2025. Horizontal and vertical partitioning are techniques in SQL to improve performance and manage large datasets. Learn how each method works, their use cases, and how they impact database design.
• Transforming Data Insights with Snowflake's LLM Functions – PART 2Jun 04, 2025. Snowflake Cortex LLM functions like TRANSLATE and SUMMARIZE, enabling powerful in-database AI for multilingual translation and concise text summaries, thereby enhancing data analytics without the need for external tools or APIs.
• MongoDB Filter Query Cheat SheetJun 04, 2025. This article explains how to use filters in MongoDB GUI tools (like MongoDBCompress or Compass) using simple query examples. You’ll learn how to search for records, use conditions, sort results, and filter by dates or partial matches, all without writing any code!
• Power Automate Desktop: Read Excel and Use as Data Table (PAD)May 31, 2025. Learn how to read a local Excel file and convert it into a Data Table using Power Automate Desktop. Easily loop through rows, display data in message boxes, and enhance your automation workflows.
• Understanding MapPartitions in PySparkMay 30, 2025. Learn how mapPartitions works in PySpark to process data more efficiently by applying transformations on entire data partitions instead of individual rows, boosting performance and control.
• Using Built-in Handlebars Helpers in SPFx: A Practical GuideMay 30, 2025. When building SharePoint Framework (SPFx) web parts, we often need to show lists or dynamic data. Writing all the HTML with logic mixed in can get confusing. Handlebars helps by separating your layout from your logic.
• SQL Server Transaction Locks: Identification & ResolutionMay 28, 2025. Learn how SQL Server transaction locks ensure data integrity, identify locking issues using DMVs and Activity Monitor, and explore strategies like query optimization, isolation levels, and deadlock resolution for better performance.
• How to Ensure Data Privacy and Intellectual Property Protection When Using LLMsMay 23, 2025. Learn how to protect data privacy and intellectual property when using Large Language Models (LLMs). Explore secure deployment options, prompt sanitization, regulatory compliance, and best practices for safely integrating GenAI into your enterprise workflows.
• Smart Data Strategies in AI Model Training: Developing Reliable AIMay 20, 2025. Successful AI depends on high-quality, relevant, and well-governed data. Real-world data, enriched responsibly with synthetic input, ensures accuracy, reliability, and ethical compliance across modern AI applications and business deployments.
• Mastering PySpark's EXPLODE Function in Fabric NotebooksMay 19, 2025. Learn how to master the EXPLODE function in PySpark using Microsoft Fabric Notebooks. This guide simplifies how to transform nested arrays or maps into separate rows for easier analysis.
• What is a key concern when sending data to AI systems?May 19, 2025. Sending data to external Large Language Models (LLMs) raises critical concerns around data privacy, security, intellectual property exposure, and regulatory compliance. Organizations must adopt best practices like anonymization, secure APIs, and usage policies to safeguard sensitive information.
• How PT-SLMs Address Leading AI Data Management Business ChallengesMay 19, 2025. PT-SLMs solve key AI data challenges by providing secure, domain-specific models. They reduce hallucinations, protect privacy, ensure compliance, and deliver faster, more accurate insights for businesses.
• PT-SLMs and Data-Driven Business Enablement: Establishing Stable AI ModelsMay 18, 2025. Explore how PT-SLMs (Prompt-Tuned Small Language Models) empower data-driven business enablement by establishing stable, efficient, and scalable AI models.
• 🚀 How to Set Up an AI Engineering Team from ScratchMay 17, 2025. Learn how to build a high-performing AI/ML engineering team from the ground up. This step-by-step guide covers defining your AI vision, hiring key roles, setting up infrastructure, implementing best practices, and scaling your team effectively to accelerate AI-driven innovation.
• ⚠️ What Are the Risks of Exposing Internal Data to AI Models?May 18, 2025. This article explores the key risks of exposing proprietary code and internal data to AI models, including potential data leakage, IP loss, compliance violations, and security threats. It also provides actionable steps organizations can take to safely and securely integrate AI tools into their workflows.
• How to Clean Data in Pivot Query in ExcelMay 16, 2025. In this article, we will learn how to clean and prepare your data directly within Pivot Queries in Excel.
• Understanding Types in TypeScriptMay 15, 2025. Explore the different types in TypeScript, including primitives, union and intersection types, type aliases, interfaces, and generics.
• Why Synthetic Data Is the Fuel of Next-Gen AIMay 15, 2025. The impact of synthetic data on AI systems training and development is profound. It deals with privacy problems, repetitiveness, and expensive data sources.
• Building Smarter Teams: AI and Data Governance in the New EnterpriseMay 14, 2025. AI and data governance are essential for ethical, secure, and compliant use of technology. By building cross-functional teams, aligning strategy, and fostering a culture of learning, organizations can drive innovation while minimizing risks.
• Real-Time Data Retrieval from APIs Using SSISMay 14, 2025. This article explains how to integrate APIs with SQL Server Integration Services (SSIS) to automate data retrieval using HTTP requests. It covers API setup, SSIS package creation, and script task configuration.
• Export Table Data as CSV in React Using Axios and react-csvMay 14, 2025. Learn how to export table data to a CSV file in a React application using Axios for data fetching and the react-csv library for easy CSV generation.
• Microsoft Fabric Warehouse Integration in VS Code for DevsMay 13, 2025. Experience seamless development with Microsoft Fabric and VS Code integration. Write, debug, and manage SQL queries directly in your editor, connect to Fabric Warehouse, and boost productivity with real-time data access.
• Advanced Data Warehouse Modeling and Querying Using C# and .NET 9May 13, 2025. Use C# 14 and .NET 9 to design, query, and manage data warehouses efficiently. Automate schema creation, support SCD Type 2, integrate with BI tools, and run high-performance queries for real-time analytics.
• Advanced ETL from OLTP Databases to a Data Warehouse with C# 14May 12, 2025. Build scalable and efficient ETL pipelines using C# 14 and .NET 9. Leverage Dapper, SQL Server, Azure Synapse, and cloud integration for seamless data extraction, transformation, and loading to data warehouses and lakes.
• Best Practices for Azure Blob, Table, Queue, File Storage with C#May 11, 2025. Azure Storage provides scalable solutions for unstructured and structured data. It includes Blob, Table, Queue, and File Storage, offering features like tiering, lifecycle management, security, and cost optimization for efficient data handling.
• C# Data Science With C# 14 Features (Comprehensive Guide)May 10, 2025. C# 14, with features like ML.NET, Microsoft.Data.Analysis, and Azure integration, is now a powerful tool for data science, offering secure, high-performance solutions for machine learning, data analytics, and large datasets.
• C# Big Data Processing Using C# 14 FeaturesMay 09, 2025. Explore how C# 14 empowers big data processing with its latest features like improved pattern matching, enhanced performance, and simplified syntax.
• Improved CRUD operations for GridView with Redshift in ASP.NET Core MVC (Utilizing C# 14 Features)May 08, 2025. Learn how to enable CRUD operations in an ASP.NET Core MVC application using Amazon Redshift and C# 14 features. This guide covers setup, connection, SQL commands, data manipulation, security, and best practices.
• DAX in Power BIMay 08, 2025. DAX (Data Analysis Expressions) in Power BI allows users to perform advanced calculations, aggregations, and filtering. Learn how to create calculated columns, measures, and time-based analysis for deeper insights and reporting.
• Creating a Read-Only USB Disk for Archiving Family PhotosMay 08, 2025. This article explains how to create a read-only USB external disk to securely archive and share family photos and videos.
• How to Use AI PT-SLM (Private Tailored Small Language Models) in the Pharmaceutical IndustryMay 05, 2025. PT-SLMs offer secure, on-premises AI tailored for pharma, enhancing drug discovery, clinical trials, compliance, and patient support while protecting sensitive data and ensuring regulatory adherence.
• Understanding LRU Cache in PythonMay 05, 2025. LRU Cache (Least Recently Used) is a data structure that maintains a limited set of items, automatically removing the least recently accessed ones. It's implemented in Python using a doubly linked list to optimize cache operations.
• C# 13: Partial Properties and Indexers SimplifiedMay 05, 2025. C# 13 introduces partial properties and indexers, enabling cleaner separation of logic in partial classes. This boosts maintainability, avoids hacks, and simplifies working with generated code and tools like EF Core.
• Artificial Intelligence and Private Tailored Small Language Model (PT-SLM) Solutions for Education AdministrationMay 01, 2025. Private Tailored Small Language Models (PT-SLMs) bring secure, efficient, and context-aware AI to educational administration, enabling automation, improved decision-making, and enhanced stakeholder experiences.
• Advanced C# Techniques: Multipart Uploads with AWS S3Apr 30, 2025. Learn how to efficiently upload large files to Amazon S3 using Multipart Upload in .NET (C#). Explore automation with TransferUtility, manual control, best practices, retries, and production integration tips.
• Binary Search Tree (BST) Node Deleteion Algorythm in C#Apr 30, 2025. Learning BST: How to implement Binary Search Tree (BST) deletion algorithm in C#, with unit testing using xUnit and FluentAssertions. This guide covers deletion cases, real-world relevance.
• How to Load Data in ExcelApr 29, 2025. Learn how to import, clean, and manage multiple tables in Excel using Power Query. This step-by-step guide covers importing data from Excel workbooks, transforming data, using "Create Connection" for multiple tables, and loading them into Excel or the data model for further analysis.
• How to Seamlessly Integrate Microsoft Dataverse with Fabric Using Fabric LinkApr 28, 2025. Learn how to easily connect Microsoft Dataverse to Microsoft Fabric using Fabric Link. Step-by-step guide covering prerequisites, setup, Lakehouse validation, and understanding how Dataverse syncs with Fabric.
• Differences Between Layer 2 Switches, Layer 3 Switches & RoutersApr 28, 2025. A Layer 2 switch moves data using device MAC addresses in the same network, a Layer 3 switch can also move data between networks using IP addresses, and a router connects different networks and sends data to the right place.
• How to Convert a DataTable to a List of Objects in C#Apr 27, 2025. Learn how to convert a DataTable to a List<T> in C#. Explore manual, reflection-based, and LINQ methods for better performance, type safety, and cleaner code. Improve maintainability in modern C# applications.
• AI-Driven Banking Automation: Code Generation and Secure Data Integration Apr 24, 2025. In today’s competitive financial landscape, banks are driven by a dual imperative: deliver superior customer service and comply with stringent regulatory standards.
• How to Convert a List of Objects to a DataTable in C#Apr 23, 2025. In real-world C# applications, especially when working with data layers or exporting data (e.g., to Excel, reports, or grids), you may often need to convert a generic list of objects (List<T>) to a DataTable.This article shows you how to do that in a clean, reusable way using reflection.
• 🏔️AlpineGate AI: Redefining Data Privacy in Healthcare AI by John GodelApr 23, 2025. The healthcare industry stands at a crossroads — one path driven by rapid AI innovation, the other governed by the ethical imperatives of privacy, trust, and patient safety.
• Understanding Change Data Capture (CDC) and Its TypesApr 23, 2025. In this article we are going to learn about the CDC and types of CDC approaches. It helps keep data in sync without causing a heavy load on the database.
• Splitting Of Datasets in Machine LearningApr 23, 2025. Splitting datasets is vital in machine learning to test model accuracy on unseen data. Common methods include train-test split, k-fold cross-validation, stratified k-fold, and time series split.
• Sharing Session and Application dataApr 21, 2025. The request scope makes data available to multiple pages processing the same request. But in many cases, data must be shared over multiple requests.
• Encoding of Variable in Machine LearningApr 18, 2025. How to transform categorical values into continuous form, and what is encoding? Encoding categorical data is vital for machine learning. Techniques like Label Encoding and OneHotEncoder convert non-numeric values into numerical form.
• How to Detect Outlier and Remove in Machine LearningApr 18, 2025. This article explores techniques to detect and remove outliers using statistical methods like Z-score, IQR, and tools like Python, Pandas, and Scikit-learn to improve data quality and model performance.
• Modern Data Wrangling with Polars and Delta Lake in Microsoft FabricApr 17, 2025. Learn how to efficiently clean, transform, and manage large datasets with high-performance tools. Discover scalable, fast, and flexible data workflows designed for today’s data engineering needs.
• How to Impute Missing Value in Machine LearningApr 17, 2025. This article explains the importance of data and various imputation techniques in machine learning to handle missing values, ensuring cleaner datasets and improving model accuracy and performance.
• Create Graph Windows Form - WInForm using .Net 8Apr 16, 2025. Learn how to create a bar chart in a Windows Forms App (.NET) using the Chart control. This step-by-step guide covers project setup, adding the chart control, configuring the chart area, and adding data points for visualization.
• Django Web framework Google Chart ExampleApr 14, 2025. Django, a Python web framework using the MVT pattern, simplifies web development with built-in admin, structured views, and templates—demonstrated using a Google Charts example for dynamic data visualization.
• The Future of Web3: How Decentralized Applications Are Changing the InternetApr 15, 2025. Explore the transformative world of Web3, where decentralization empowers user control, enhances data integrity, and fuels digital innovation. Discover top DApps, business benefits, and how to start your journey in the future of a decentralized internet.
• Overview of RadioButtonList ControlApr 15, 2025. Learn how to use RadioButtonList in ASP.NET WebForms, including its layout types (Horizontal, Vertical, Flow, Table), binding data from C# List, database tables, and manually added items. Also, discover JavaScript integration and best practices.
• Asynchronously Grouping Totals in MAUI [GamesCatalog] - Part 13Apr 14, 2025. Learn how to implement dynamic game status cards in MAUI using MVVM, data binding, and async methods. This covers creating UI components, grouping data by game status, and displaying totals on the main screen.
• React Tutorial For Beginners - Pass Data between Components (Parent to Child and Child to Parent)Apr 14, 2025. The user interface of every React application we develop, gets broken down into Components. Each React application we develop will be comprising of multiple components.
• Explaining Tanspose DataTable Data in C# Apr 09, 2025. Learn how to create and transpose a DataTable in ASP.NET Web Forms using C#. This guide covers table creation, manual data entry, HTML rendering, and dynamic data transposition using StringBuilder.