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• Build a RESTful Student Info API with ASP.NET MVC & C#.NET Jul 02, 2025. Learn how to build a simple RESTful API using ASP.NET MVC in C#. This beginner-friendly tutorial guides you through creating a student info API with models, controllers, routing, and JSON output step by step.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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
• Service Lifetimes in ASP.NET Core: Transient vs Scoped vs SingletonJun 25, 2025. Learn the differences between Transient, Scoped, and Singleton service lifetimes in ASP.NET Core with real-world examples
• 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.
• Meet the o3 Series Models: Smarter Tools for Reasoning and Problem Solving on AzureJun 24, 2025. Microsoft has introduced a powerful range of AI models called the o3 series, designed to help with tasks that require deep thinking, reasoning, and advanced problem-solving.
• 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.
• 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.
• 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.
• 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.
• Real-Time Azure Digital Twins: Building a Scalable NDJSON Solution with Event-Driven ArchitectureJun 23, 2025. This article shows how to build a real-time system that keeps digital twins (virtual copies of physical machines) updated instantly using Microsoft Azure cloud services.
• 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
• Quickstart: Convert Text to Speech Using Azure AI Speech ServiceJun 22, 2025. Quickstart: Convert Text to Speech Using Azure AI Speech Service or Build a Text-to-Speech App with Azure AI Services in C#
• Can I build AI or machine learning apps in C# like I can in Python?Jun 21, 2025. Can you build AI or machine learning apps using C# like you can in Python? Absolutely! While Python leads in AI development due to its rich ecosystem, C# offers powerful tools like ML.NET, ONNX Runtime, and Azure Cognitive Services for building and deploying AI solutions in .NET applications. This guide explains how to use C# for AI, where it shines, and when Python might still be the better choice.
• 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.
• 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.
• 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.
• 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.
• What is Azure AI Service and Azure OpenAI Service?Jun 20, 2025. This article explains the key differences between Azure AI Services and Azure OpenAI Service, guiding developers on when to use each and how combining both unlocks powerful, modern AI-driven applications.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• From Custom Reporting Headaches to Self-Service Dashboards: The Reveal BI Advantage for SaaSJun 16, 2025. Here in this article, we'll see how from Custom Reporting Headaches to Self-Service Dashboards with the Reveal BI Advantage.
• 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.
• 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.
• 🧠 What is AKS? Azure Kubernetes Service (AKS)Jun 11, 2025. So you’ve heard the word Kubernetes floating around, right? And maybe you've also heard of Docker, containers, microservices — all that modern cloud stuff. Well, AKS is Microsoft Azure’s managed service for Kubernetes.
• Understanding Key Microsoft Azure ServicesJun 11, 2025. Explore 11 essential Microsoft Azure services—like Storage, Key Vault, AKS, and DDoS Protection—along with real-world use cases, best practices, and interview questions to boost your cloud expertise.
• 🎲 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.
• 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.
• 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.
• 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.
• Agentic AI: The Mindful Machine ArchitectureJun 09, 2025. Agentic AI blends autonomy, reasoning, and decision-making into machines. This mindful architecture powers systems that act with purpose, like intelligent agents that think before they act.
• Building Background Tasks in ASP.NET CoreJun 09, 2025. In modern ASP.NET Core applications, especially those involving microservices, background processing is a key requirement. Whether it’s sending emails, processing Kafka messages, running cron-like jobs, or handling long-running workflows, background services are essential.
• A Simple Guide to How AI Agents Work Behind the ScenesJun 09, 2025. Ever wondered how AI agents like ChatGPT or virtual assistants seem so smart and capable? Behind the scenes, there’s a well-structured system that makes all of it possible.
• 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.
• 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.
• 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.
• Understanding Window Operations in PandasJun 06, 2025. Window operations are among the most powerful features in pandas for time series analysis and data manipulation.
• 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.
• 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.
• 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.
• 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!
• 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.
• Deploying Your First Service on Docker SwarmJun 01, 2025. Learn how to write Dockerfiles, deploy your first service on Docker Swarm, and scale it with replicas in this beginner-friendly step-by-step guide.
• 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.
• 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.
• 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.
• 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.
• Integrating GPT-4 in C# Applications Using Azure OpenAI Services May 26, 2025. Integrate GPT-4 into your C# apps using Azure OpenAI Services for powerful AI features like chat, summarization, and analysis.
• Docker Swarm ArchitectureMay 23, 2025. Learn how Docker Swarm works under the hood—explore managers, workers, Raft consensus, and how tasks and services power container orchestration.
• .NET Core with AI IntegrationMay 23, 2025. This articlee covers using AI services, machine learning models, and APIs within .NET Core projects to enhance functionality, automate tasks, and deliver smarter user experiences. Start building AI-powered .NET apps today.
• 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.
• Deploying Your Go Application on Azure Kubernetes Service (AKS)May 23, 2025. Learn how to containerize your app, push it to Azure Container Registry, and run it on AKS for scalable, reliable cloud-native deployment. Ideal for Go developers exploring Azure cloud solutions.
• Azure Service Principle SimplifiedMay 22, 2025. Learn what an Azure Service Principal is and how it helps secure app access to Azure resources. This simplified guide explains its role in authentication, how to create one, and best practices for managing permissions in Azure environments.
• Service Discovery using ConsulMay 21, 2025. Explore how to implement service discovery in .NET using Consul, enabling microservices to dynamically locate and communicate with each other without hardcoding service addresses or configurations.
• 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.
• Creating a "Pooled" Dependency Injection Lifetime in C# 13May 19, 2025. Discover how Ziggy Rafiq demonstrates how to set up a custom "pooled" dependency injection lifetime in C# 13 using ObjectPool<t> with best practices, DI registration, and high-performance service examples.</t>
• 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.
• ⚠️ 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.
• 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.
• 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.
• 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.
• Understanding Types in TypeScriptMay 15, 2025. Explore the different types in TypeScript, including primitives, union and intersection types, type aliases, interfaces, and generics.
• .NET Aspire Service DiscoveryMay 14, 2025. In this chapter, we are enabling dynamic connectivity between microservices without hard-coded endpoints using .NET Aspire Service Discovery.
• 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.
• 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.
• 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.
• 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.
• 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 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.
• 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.
• 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.
• 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.
• Construction of Polyglot Microservices using C# and .NETMay 07, 2025. Learn how to design C# microservices for polyglot systems that integrate multiple languages like Python, Node.js, and Go. Explore strategies for using open protocols, defining contracts, and ensuring resilience in distributed environments.
• Applying the Saga Pattern for Distributed Transactions Across Services Using C# ExamplesMay 07, 2025. The Saga pattern in microservices helps manage distributed transactions by breaking them into local transactions with compensating actions. It ensures data consistency and handles failures through choreography or orchestration.
• Implementing Event-Driven Architectures with Kafka, RabbitMQ, or Azure Service Bus (Comparisons, Pros, and Cons)May 06, 2025. Event-driven architecture (EDA) enables scalable, decoupled, and resilient systems using message brokers like Apache Kafka, RabbitMQ, and Azure Service Bus. Each offers unique features for different use cases.
• 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.
• 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.