Comparing Apache Iceberg, Apache Hudi, and Databricks Delta Lake: A Guide for Data Engineers
In the evolving world of big data, efficient and flexible data lake solutions are crucial for managing large-scale data pipelines. Three popular open-source projects—Apache Iceberg,[…]
Deep Dive: Detailed Exploration of New Features in Azure Data Factory
Azure Data Factory (ADF) continues to be a robust platform for data integration and ETL (Extract, Transform, Load) processes. Microsoft’s recent updates bring significant enhancements[…]
Latest Updates in Azure Data Factory – What’s New and What It Means for You
Azure Data Factory (ADF) continues to evolve as one of the leading cloud-based data integration services, empowering businesses to build, manage, and orchestrate data pipelines[…]
How to Set Dynamic File Names in Azure Data Factory: A Step-by-Step Guide
Creating dynamic file names is essential in data integration workflows, especially when managing large datasets in cloud platforms like Azure Data Factory (ADF) or Azure[…]
How to Set Up an Azure Storage Account: A Step-by-Step Guide
Azure Storage Accounts are essential for managing and storing data in the cloud, providing scalable and secure storage solutions for a variety of workloads like[…]
How to Optimize Your Cloud Usage and Avoid AWS Pitfalls
Cloud computing has become an essential part of modern software development, offering scalability, flexibility, and a wide range of services. However, the dependency on big[…]
Unlocking the Power of Azure Data Factory: A Complete Breakdown of ADF Activities
Azure Data Factory (ADF) is a robust and scalable cloud-based data integration service that allows organizations to create and manage complex data pipelines. At the[…]