Resources  
  • Why the Component Data Must be a Function in Vue.jsMar 28, 2024. In Vue.js, component data must be returned by a function to ensure data isolation and reactivity. This prevents shared data issues between instances, maintaining code modularity and reliability in component-based architecture.
  • Power Apps: Combo Box Control & Dynamic SharePoint Data BindingMar 28, 2024. Learn to harness the power of Combo box Control in Power Apps to dynamically bind data from SharePoint. Elevate your app development skills with seamless integration and efficient data management, enhancing user experience and productivity.
  • What Are Data Attributes in HTML, and How Are They Used?Mar 28, 2024. Know the data attributes in HTML. Data attributes are commonly used in conjunction with JavaScript and CSS to enhance the functionality and styling of web pages.
  • How Do You Work with JSON Data in JavaScript?Mar 28, 2024. In this article, we will explain you how to work with JSON data in JavaScript with example. Working with JSON data in JavaScript involves parsing JSON strings into objects and stringifying objects into JSON strings. JSON.parse() and JSON.stringify() methods facilitate this process efficiently.
  • PiP - External Streaming Data - Useful Concepts - Part 1Mar 27, 2024. To use computers to automate information processing we have to deal with bitstreams as the information representation. By design, bitstream management involves the organization, storage, retrieval, communication, and manipulation to ensure accuracy, security, and accessibility.
  • Configuring Git in Azure Data Studio for SQL & Synapse PoolsMar 21, 2024. In this article, we'll delve into the process of configuring Git to manage database objects within a Synapse Dedicated Pool environment (or Azure SQL Database) using Azure Data Studio.
  • Change Data Capture - CDC with SQL serverMar 21, 2024. Learn how CDC facilitates seamless data integration, enables efficient data replication, and ensures accurate data synchronization, providing businesses with timely insights and streamlined operations.
  • Microsoft Fabric: Loading Data into Lakehouse TableMar 20, 2024. A LakeHouse integrates data lakes & data warehouses, offering benefits of both. Data lakes store raw data diversely, while DataWarehouses handle structured data. LakeHouse combines both for efficient query performance. Fabric platform enables easy creation & management of LakeHouses. 2 / 2
  • Hashing Techniques in Data Structures and AlgorithmsMar 20, 2024. Hashing in data structures utilizes hash functions to map arbitrary-sized data to fixed-size values, enabling efficient storage and retrieval within large datasets commonly employed in hash tables and maps.
  • Mastering Data Mining Techniques Mar 18, 2024. Data mining uncovers hidden patterns in vast data reserves, guiding decision-making. Key preprocessing steps ensure data quality, from collection to transformation, optimizing insights for impactful analysis and decision-making.
  • TINYINT Data Type in SQL and Its C# EquivalentMar 16, 2024. Understanding data types is crucial for effective data manipulation and storage. In this article, we will learn about TINYINT in SQL efficient storage for small integers. In C#, use byte or sbyte for representation. Optimization is crucial.
  • Display API Data on List Using SwiftUIMar 15, 2024. In this article, we will fetch and display data on a list using SwiftUI. Learn to fetch and display data in a list using SwiftUI. Set up a SwiftUI project in Xcode, create a struct conforming to Codable and Identifiable protocols, fetch data using URLSession, and design the UI.
  • Exploring the Data Table Control in Power AppsMar 12, 2024. Discover the intricacies of the Data Table Control in Power Apps with our comprehensive guide. Learn to harness its power for seamless data manipulation, visualization, and user interaction.
  • How to Fetch Daily, Weekly, Monthly, and Yearly based Data in SQLMar 12, 2024. In SQL, fetching data based on specific time intervals like day, week, month, and year is essential for meaningful analysis.
  • Basics of Azure Databricks: Data Analytics in the CloudMar 11, 2024. Azure Databricks stands at the forefront of cloud-based data analytics platforms, revolutionizing the way organizations manage, process, and derive insights from massive datasets. Azure Databricks, exploring its components, features, and capabilities to empower data-driven decision-making in the digital age.
  • Fetch Data From Nested JSON In APIMar 09, 2024. In this article, we will learn to fetch data from nested JSON in API using URLSession in Swift programming language.
  • Fetch Data From API Using URLSessionMar 09, 2024. This article contains simple demo on how to fetch data from API using URLSession in Swift Programming Language.
  • What is Change Data Capture(CDC)Mar 07, 2024. Change Data Capture (CDC) is a method used in databases to track and capture changes in data. It enables real-time updates by identifying and recording modifications made to the database, facilitating efficient data integration, replication, and synchronization across systems.
  • Learn about Data Structures in .NETMar 04, 2024. Explore key .NET data structures—Lists, Queues, Stacks, and Dictionaries. Learn their practical applications through examples for efficient and scalable software development in the .NET ecosystem.
  • Unlocking Data Exploration and Machine Learning with Streamlit Mar 04, 2024. Streamlit turns data scripts into shareable web apps in minutes—all in pure Python. No front-end experience is required. Streamlit, a Python library, revolutionizes data science with user-friendly web app creation directly from Python code. Build interactive data experiences seamlessly.
  • SQL Server Data Types for Performance, Memory EfficiencyFeb 28, 2024. "Embark on a journey to unlock SQL Server's full potential through savvy data type selection. Enhance performance and streamline operations with optimal choices.
  • Automating Excel data to SharePoint Lists with Power AutomateFeb 28, 2024. In this article, we will discover seamless automation of Excel data migration to SharePoint Lists using Power Automate. Streamline your workflows, enhance productivity, and ensure data integrity with this efficient solution.
  • What You Need to Know About Data WarehousesFeb 27, 2024. A data warehouse serves as a centralized data management system aimed at bolstering business intelligence (BI) tasks, particularly in the realm of analytics. It is primarily used for conducting queries and analyses and storing vast volumes of historical information.
  • What Is the Data Flow Followed by Props in Vue.js Feb 26, 2024. In Vue.js, utilize props to establish a unidirectional data flow, passing data from parent to child components. Explore this mechanism through code examples, defining, receiving, and updating props.
  • Bicep Data Types ExplainedFeb 25, 2024. Bicep is a domain-specific language (DSL) that is used for deploying Azure resources - learn more about it in this series of articles!
  • D365 Data Retrieval: FetchXml, Paging Cookies, and PowerShellFeb 20, 2024. Prepare your PowerShell environment for Dynamics 365 with crucial commands: Install Microsoft.Xrm.Data.PowerShell module for interacting with Dynamics 365 data. Set execution policy to RemoteSigned for internet script execution.
  • Boost Data Analytics: Integrate Python Scripts in Power BI DesktopFeb 19, 2024. This article introduces the integration of Python with Power BI, enabling users to run Python scripts directly within Power BI Desktop. It highlights the process of importing resulting datasets into a Power BI data model for creating reports and sharing them on the Power BI service.
  • Operational Data Stores (ODS) in Business IntelligenceFeb 19, 2024. This comprehensive article introduces operational data stores (ODS) and their significance in modern data-driven businesses.It covers fundamental principles, distinguishing ODS from other data storage solutions.
  • Error Logging and the Art of Avoiding Redundant Activities in MSFT Fabric Data PipelinesFeb 18, 2024. Error Logging and the Art of Avoiding Redundant Activities in MSFT Fabric Data Pipelines
  • Power of APIs in Data EngineeringFeb 16, 2024. In this article you can discover the power of APIs in data engineering. From extracting weather data to streaming Twitter feeds, learn how APIs streamline processes and enable real-time analytics, with practical code examples for each use case.
  • Cybersecurity of External Streaming Data - Integrity Feb 14, 2024. This article delves into cybersecurity considerations for external data, particularly streaming bitstreams. It explores the use of cryptography, focusing on hash functions to ensure the integrity of bitstreams.
  • External Streaming Data - Bitstream FormatFeb 14, 2024. The main aim of this article is to extend knowledge related to object-oriented programming focusing on interoperability between the computing process and data visualization, archiving, and networking resources.
  • Cybersecurity of External Streaming Data - ConfidentialityFeb 14, 2024. This comprehensive article delves into cybersecurity considerations for external data, focusing on streaming bitstreams. It covers encryption fundamentals, emphasizing symmetric cryptography and practical implementations like TripleDES encryption.
  • Cybersecurity of External Streaming Data - Non-repudiationFeb 14, 2024. This article which is a continuation of a discussion related to external streaming data will focus on using cybersecurity to protect the confidentiality of bitstreams. It is the third and last part covering the Cybersecurity of External Streaming Data.
  • Refresh Power BI Semantic Model from MSFT Fabric Data PipelineFeb 13, 2024. This content provides a solution for refreshing the Power BI Semantic Model using Microsoft Fabric Data Pipelines. It outlines the problem statement, prerequisites, and a detailed step-by-step solution.
  • Understanding Activity Types in Azure Data FactoryFeb 12, 2024. Azure Data Factory is a powerful tool for orchestrating data workflows in the cloud. Understanding its activity types such as Data Movement, Data Transformation, and Control is crucial for efficient data processing and management.
  • Azure DevOps Build Trigger: Integrating with Data Factory/Synapse PipelineFeb 11, 2024. Trigger Azure DevOps Build Pipeline via Azure Data Factory / Synapse Pipeline through Managed Identity. This blog addresses security concerns by triggering an Azure DevOps Build Pipeline via Azure Data Factory/Synapse using Managed Identity authentication. It employs Azure DevOps REST API for execution.
  • Merging Arrays within Synapse / Azure Data Factory PipelineFeb 07, 2024. merging arrays in Azure Data Factory / Synapse pipelines. By utilizing functions like "join" to convert arrays to strings, "concat" to combine strings, and "split" to transform strings back to arrays, this solution ensures comprehensive data integration.
  • Optimizing Data Processes with Staging Areas in Business IntelligenceFeb 06, 2024. In the world of Business Intelligence (BI), a staging area or landing zone is an essential component. This article will discuss a use case to comprehend the issue that a staging arena solves, succeeded by an appreciation of its implementation and capabilities.
  • Supported File Types for Data Ingestion into KQL Database in FabricFeb 06, 2024. This article is about Understanding the Supported File Types for Data Ingestion into the KQL Database in Fabric Real-time Analytics. Supported file types include JSON, CSV, XML, & Text. Note: XLSX is not supported. See how to ingest & transform data using Data Factory.
  • Listing Unique Records Within an Array in Azure Data FactoryFeb 02, 2024. Utilize Azure Data Factory to remove duplicates within an array by employing the "union()" function. This solution involves the Set Variable activity to obtain a unique list from the array.
  • Optimize ASP.NET Core MVC Data Transfer with Custom MiddlewareFeb 01, 2024. In ASP.NET Core, middleware components are used to handle requests and responses as they flow through the application's pipeline. These middleware components can be chained together to process requests and responses in a specific order. Transferring data between middleware components can be achieved using various techniques.
  • Metadata-Driven Architecture in Data EngineeringFeb 01, 2024. This article explains how data engineers can make their work more flexible and efficient using Metadata-Driven Architecture (MDA). It breaks down two methods: one using a central database (good for structured work like in Azure Data Factory) and another using external files (great for collaborative projects, especially with Databricks).
  • Sharing Data Gateway in Microsoft Fabric Portal with DemoJan 30, 2024. This article dives into how to share data gateway with users and resource groups in Microsoft Fabric. The Sharing Data Gateway in Microsoft Fabric Portal streamlines access and data transfer between on-premises and the cloud, promoting collaboration, optimizing resource usage, ensuring security, and enhancing scalability.
  • Power BI Parameters for Efficient Data Source ConfigurationJan 30, 2024. This article is about using Power BI Parameters for Data Source Configuration. In this Power BI project, connecting to an on-premise Business Central instance posed challenges during deployment. The solution involved using Power BI Parameters for dynamic and configurable data source connections.
  • Get Data from Comma Separated Value (CSV) FilesJan 29, 2024. Comma separated value files, often known as a CSV, are simple text files with rows of data where each value is separated by a comma. We will see how to import CSV data in Power BI.
  • Caching Strategies Blueprint: Accelerate Data Retrieval PerformanceJan 24, 2024. This article explores the significance of caching in software development, emphasizing its role in enhancing data retrieval efficiency. It covers caching principles, trade-offs, cache hierarchy, hits and misses, and cache eviction policies. Database caching and CDN acceleration, are discussed, along with scenarios where caching may not be beneficial.
  • Azure Data Factory - Integration RuntimesJan 24, 2024. This article gives a basic gist of different types of Integration Runtimes present in Microsoft Azure Data Factory (ADF)
  • Visualizing Data with Style: Pie and Stacked Line Charts in PygalJan 23, 2024. This article is tailored to guide you through creating two distinct types of charts: the Pie Chart and the Stacked Line Chart.
  • Basic Components in Azure Data FactoryJan 23, 2024. Azure Data Factory (ADF), Microsoft's integration service for orchestrating workflows and data integration with 90+ connectors. Learn about key features like pipelines, activities, datasets, linked services, integration runtimes, and triggers.
  • Optimizing ADO.NET Code for Efficient Data Management StrategiesJan 12, 2024. In this article, we will learn about ADO.NET performance with strategic data retrieval techniques. Explore stored procedures, pagination, selective column retrieval, caching, batch processing, optimized data types, and connection pooling for efficient database interactions and responsive user experiences.
  • What is Data Manipulation in RJan 10, 2024. Data manipulation is an essential part of data analysis and plays a vital role in turning raw data into valuable insights. R programming for efficient data manipulation. Dive into data structures, subsetting, filtering, reshaping, sorting, aggregating, merging, string manipulation, handling missing data, and applying functions.
  • Create Your First Pipeline to Copy Data to LakehouseJan 10, 2024. You will be building a data pipeline to move a sample dataset to Lakehouse. Learn to build a data pipeline for a Lakehouse with a Microsoft Fabric tenant account. This step-by-step guide covers creating a workspace, data pipeline, and copying data efficiently.
  • Unit Testing in .NET Core - Bogus for Fake Data GenerationJan 09, 2024. This post explores the challenges of generating realistic test data manually and introduces Bogus, a .NET library that simplifies the process by providing a fluent API for defining data generation rules. It covers basic and complex data generation, making unit testing more efficient and realistic.
  • External Data - Attributes - Profiling Data AccessJan 06, 2024. The external data is recognized as the data we must pull or push from outside of a boundary of the process hosting the computer program. A very important kind of external data is streaming data. Usually, this data kind is managed using file and stream concepts. To save/read working data using streams, we need serialization/deserialization operations between streaming and object-oriented data.
  • Invoke Azure Data Factory Pipeline via MSFT FabricJan 03, 2024. Learn to trigger Azure Data Factory (ADF) pipelines from Microsoft Data Factory using a service principal or organizational account. Follow the steps and API calls for seamless integration.
  • External Data - File and Stream ConceptsJan 03, 2024. The external data is recognized as the data we must pull or push from outside of a boundary of the process hosting the computer program. A very important kind of external data is streaming data. Usually, this data form is managed using file and stream concepts. It is the first part of a series of articles titled Programming in Practice.
  • Truncate All Table Data in MSSQLJan 02, 2024. In this article we will learn about how to truncate all tables in a SQL Server database using dynamic SQL. Exercise caution, as this operation deletes all data without the possibility of rollback. Learn essential precautions.
  • Write the Data to Excel TemplateDec 29, 2023. Learn the art of writing data into Excel templates in C# with this step-by-step guide. Create an ASPX page, use libraries like Newtonsoft.Json, and implement the Factory Pattern effortlessly.
  • Transfer Data From One Middleware to Another .NET Core Web APIDec 26, 2023. The intricacies of passing data between middlewares in .NET Core Web API applications. Dive into methods like HttpContext.Items, custom middleware options, dependency injection, and HTTP context request headers with practical code examples for seamless data flow.
  • ID Cards Data Extraction using Power Automate and AI builder Dec 26, 2023. ID Cards Data Extraction using Power Automate and AI Builder.
  • Blazor and .NET 8 QuickGrid Implementation with CSV Data ExportDec 22, 2023. Article for using QuickGrid in Blazor and .NET 8 and exporting data using CSV Helper as a supporting library. the simplicity and efficiency of QuickGrid, a razor component for displaying tabular data in Blazor Applications. Officially backed by .NET 8, QuickGrid supports in-memory and EF-Core IQueryable remote data and offers built-in column types. Explore its features, easy implementation, and styling options, ensuring a seamless user experience. Follow a comprehensive walkthrough and customization guide incorporating filtering, pagination, and virtualization.
  • Automated Way to Get Latest Pipeline Execution Details of an Azure Data FactoryDec 18, 2023. Automated Way to Get Latest Pipeline Execution Details of an Azure Data Factory
  • Scaling Azure Databricks Secure Network Access to Azure Data Lake StorageDec 13, 2023. Explore secure network access in Azure Databricks to Azure Data Lake Storage. Learn setup, RBAC, and secure coding with practical examples.
  • Configuring Data Connector And Producing Activity Data in Microsoft SentinelDec 11, 2023. Configuring the data connector and producing activity data in Microsoft Sentinel. the configuration process of a data connector and the generation of activity data in Microsoft Sentinel. It demonstrates the installation of a data connector for Azure Activity through the Content Hub in Microsoft Sentinel. Users are guided through the installation/update process, verification of the installation success, and subsequent configuration of the data connector. The tutorial then proceeds to illustrate the creation of activity data by enabling a rule within the Azure Activity solution for Microsoft Sentinel.
  • ASP.NET Core Data Protection APIDec 11, 2023. ASP.NET Core Data Protection API. In web applications, ensuring authenticity is pivotal during round trips. This article delves into the Asp.Net Core Data Protection API, discussing its implementation in web applications, API methods, and prerequisites using .Net Core 6.0 and Visual Studio 2022. Explore cryptographic solutions for data protection, key management, and rotation.
  • Using Date Function in Data Validation in ExcelDec 10, 2023. Learn how to use Excel's DATE function for effective data validation. Set criteria for a date column to ensure entries fall within a specific range, enhancing accuracy and data quality.
  • Retrieving Audit Data for a Specific Entity in D365 CE Using C#Dec 08, 2023. This article is about getting audit entity data for a particular entity. This blog guides Dynamics 365 CE users on leveraging C# code to retrieve audit data, ensuring compliance and transparency. Learn to fetch records based on specific operations for insightful analytics.
  • Efficient Data Fetching Techniques in SQL ServerDec 05, 2023. This article combines theory and hands-on SQL examples to showcase efficient data retrieval techniques in SQL Server. From indexing strategies to query optimization, it offers actionable insights for maximizing SQL Server performance.
  • Read and Import Data from PDF File using MSFT FabricDec 04, 2023. Read and Import Data from PDF File using MSFT Fabric.
  • How to Backup Google Classroom Data - Verified StepsNov 23, 2023. Trying to backup Google Classroom data? Read this blog and get an sure-shot solution to backup Google Classroom data instantly.
  • Fabric Data Warehouse: Save as Table and Analyze Result FunctionalitiesNov 20, 2023. In this article, we'll delve into the Microsoft Fabric Data Warehouse features: Save as Table and Analyze Result. These functionalities offer users and analysts several advantages in terms of data management and visualization.
  • How do I serialize and deserialize JSON data in C#?Nov 19, 2023. Download source code on how to serialize and deserialize JSON data in C#.
  • Analyzing Sales Data with a Comprehensive SQL Query in Microsoft Fabric Data WarehouseNov 18, 2023. This SQL query is a powerful tool for in-depth sales analysis, utilizing joins and aggregations to break down sales data by account manager, payment type, and region in Microsoft Fabric Data Warehouse.
  • Inserting 1 Million Dummy Product Data into SQL Server Using Bogus PackageNov 17, 2023. When working with databases, populating them with substantial amounts of data for testing or demonstration purposes is crucial. The Bogus package in C# provides a convenient way to generate fake data, making it an excellent choice for creating large sets of dummy records. This guide will walk you through inserting 1 million dummy product records into a SQL Server database using Bogus.
  • What is BSON and Data Types in MongoDB?Nov 15, 2023. Choose the best BSON DataTypes with C# and phyton Samples. MongoDB stores and exchanges data in a format known as BSON (Binary JSON), a binary equivalent of the JSON data format.
  • What is DirectLake in Microsoft Fabric Data Warehouse and its Benefits?Nov 13, 2023. This article focuses on DirectLake in Microsoft Fabric Data Warehouse and its Benefits. DirectLake is a feature of Microsoft Fabric Data Warehouse that allows analysts, engineers, and users to access and query data directly from Azure Data Lake Storage without loading the data into the warehouse.
  • Efficient Data Integration using HSTACK & XLOOKUP FunctionsNov 07, 2023. This article effectively explains how to integrate data from different sources using Excel's HSTACK and XLOOKUP functions. The step-by-step breakdown and the clear demonstration with sample data make it easy for readers to understand and implement the data integration process seamlessly.
  • Automated Way to Extract Data from Power BI Dataflow via MSFT FabricNov 03, 2023. Automated Way to Extract Data from Power BI Dataflow via MSFT Fabric. This article explains a step-by-step process for copying or extracting data from Azure Analysis Services when Multi-Factor Authentication (MFA) is enabled on Active Directory (AD) accounts, making it a valuable resource for users facing this particular challenge.
  • Load Bulk Data to Azure Table StorageNov 03, 2023. This article provides all the information about how to utilize the Azure SDK for Python to load bulk data into Azure Table Storage. The script's step-by-step breakdown effectively guides users through the process, including necessary setup and configuration, as well as the bulk data insertion steps.
  • K-Means Clustering in C# with Flower Data Using Google ColabNov 03, 2023. Clustering is a form of unsupervised machine learning in which observations are grouped into clusters based on similarities in their data values, or features. This kind of machine learning is considered unsupervised because it doesn't make use of previously known label values to train a model. In a clustering model, the label is the cluster to which the observation is assigned, based only on its features.
  • Improving SQL Table Data PerformanceNov 01, 2023. This article discusses strategies and best practices for optimizing SQL table data performance. Topics covered include indexing, normalization, partitioning, data types, query design, monitoring, hardware, caching, sharding, and maintenance. These practices aim to improve database efficiency and, in turn, enhance application performance and user satisfaction. Regular maintenance is stressed for sustained success.
  • AI and Machine Learning in Customer Data Platforms (CDPs)Nov 01, 2023. This blog highlights the impact of AI and ML in Customer Data Platforms (CDPs). It emphasizes AI's role in data analysis, predictive modeling, and real-time personalization, and delves into how ML enables task automation, customer segmentation, and recommendation systems. The benefits of leveraging AI and ML in CDPs are discussed alongside common challenges and best practices, ensuring optimal data quality and model accuracy.
  • Copy Data from Azure Analysis Service (AAS) through Microsoft FabricNov 01, 2023. Copy Data from Azure Analysis Service (AAS) through Microsoft Fabric. The problem statement revolves around extracting data from Azure Analysis Services (AAS) in an automated manner when Multi-Factor Authentication (MFA) is enabled on Active Directory (AD) accounts. The proposed solution entails utilizing Microsoft Fabric Dataflow Gen 2 and the AAS Tabular Model to achieve the data extraction.
  • Use Data API builder with Azure Cosmos DBNov 01, 2023. Use Data API builder with Azure Cosmos DB. The guide explains how to build a Data API using Azure Cosmos DB. It outlines steps such as creating a database container, adding a Book schema, obtaining the Cosmos DB connection string, creating a configuration file, and starting the Data API builder. The provided GraphQL query demonstrates querying the data. If you encounter any issues, please reach out for assistance.
  • MongoDB and ACID Reliable Data Transactions with NoSQL Databases Oct 30, 2023. This article explains what ACID compliance means for database management systems and how MongoDB, a popular NoSQL database, supports ACID transactions.
  • Recover Deleted Table Data "without Backup" in SQL ServerOct 27, 2023. This article will discuss Recover Deleted Table Data "without Backup" in SQL Server.
  • Statistical Concepts for Data AnalysisOct 26, 2023. Statistics is a powerful tool used to analyze data, make informed decisions, and draw meaningful insights from information. Whether you're a data scientist, researcher, or just curious about the world of numbers, it's essential to grasp some fundamental statistical concepts. In this article, we'll explore and provide examples for each of these key terms.
  • Dynamic Data Masking in SQL ServerOct 23, 2023. In this article, we will discuss about Dynamic Data Masking (DDM. Dynamic Data Masking (DDM)) in SQL Server is a security feature designed to protect sensitive data in real-time by obfuscating it from users who lack the appropriate access rights. This enables you to selectively mask sensitive data without altering the underlying data itself, ensuring data privacy and confidentiality in scenarios where multiple users with different clearance levels access sensitive data.
  • How Caching Improves Data Access Performance?Oct 23, 2023. In this article, we explore caching's role in enhancing data access performance. Caching involves storing frequently accessed data, reducing latency and database load. Despite its advantages, challenges like cache invalidation, size management, and policy selection need consideration for effective implementation.
  • Event Trigger Data Sync from SQL Server to Synapse via Azure Data Factory / Synapse PipelineOct 23, 2023. Event Trigger Data Sync from SQL Server to Synapse via Azure Data Factory / Synapse Pipeline
  • Identifying the Count of Activities within a Pipeline in an Azure Data FactoryOct 20, 2023. Counting Activities in Azure Data Factory Pipelines involves the process of determining the number of distinct activities or operations within a pipeline created in Microsoft's Azure Data Factory. This task is essential for monitoring and optimizing data workflows and ETL processes. By accurately identifying and analyzing the count of activities, data engineers and developers can assess the complexity of data pipelines, diagnose performance issues, and make informed decisions to enhance efficiency and streamline data management within the Azure environment. This knowledge contributes to more effective data processing and ensures the smooth operation of data-driven solutions.
  • Dev Express Data Grid Control for .NET MAUI: Free Lifetime PluginOct 19, 2023. DevExpress, a leading software development company, offers a powerful Data Grid Control designed specifically for .NET MAUI, a framework for building cross-platform mobile and desktop applications. This control, provided by DevExpress, is not only feature-rich but also comes with a remarkable benefit: it's available for a lifetime and is offered as a free plugin.
  • Read And Upload Excel Data To Oracle TableOct 18, 2023. In the realm of data management and integration, the process of reading and uploading Excel data to an Oracle table involves multiple fundamental steps. First, the data needs to be read from an Excel file, which might contain various types of information such as numbers, texts, or dates. This data is typically organized in rows and columns.
  • Dynamically Bind HTML Template to JSON Data Without using Loop in SQLOct 17, 2023. How we can dynamically bind html template to json data without using looping sql server
  • How to Create Table & Insert Records in Microsoft Fabric Data Warehouse SQL EndpointOct 16, 2023. This article covers how to create table and insert records in the Microsoft Fabric Data Warehouse SQL Endpoint
  • Data Reading From AWS Kinesis Data StreamOct 16, 2023. Data Reading from AWS Kinesis Data Stream involves the real-time retrieval and processing of streaming data within the Amazon Web Services (AWS) Kinesis ecosystem. This process allows seamless integration and analysis of continuous data streams, enabling businesses to gain insights and make decisions in real time based on the incoming data flow.
  • How To Render Avatar Images From XML Data In Blazor?Oct 11, 2023. In this scenario, you'll need to read XML data, parse it, and then render avatar images inside a popup component in a Blazor application. This involves creating a data model, a service to handle XML parsing, and a component to display the avatars in the popup.
  • Converse with your data using your own ChatGPT with Azure OpenAI ServiceOct 11, 2023. Data is everywhere. It is the fuel that powers our businesses, our research, our innovation, and our lives. But data is also complex, diverse, and often unstructured. Azure OpenAI Service emerges as a game-changer in this realm, offering a transformative approach to data interaction by enabling users to converse with their data in natural language.
  • Microsoft Fabric Data Engineer: A New Career PathwayOct 06, 2023. This articles focused on the requirements to become a Microsoft Fabric Data Engineer

About Data

Data is collection of row material which is collection of records and distinct pieces of information usually formatted in a special way. All software is divided into two general categories: data and programs. Programs are collections of instructions for manipulating Data. Data can exist in a variety of forms as numbers or text on pieces of paper, as bits and bytes stored in electronic memory, or as facts stored in a person's mind. Strictly speaking, data is the plural of datum, a single piece of information. In practice, however, people use data as both the singular and plural form of the word. The term Data is often used to distinguish binary machine-readable information from textual human-readable information. For example, some applications make a distinction between data files and text files. In database management systems, data files are the files that store the database information, whereas other files, such as index files and data dictionaries, store administrative information, known as metadata.

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