Learn key differences between data lakes and data warehouses, how they complement each other, and when to use each term in analytical conversations.
Data Lake vs. Data Warehouse: Which Term Should You Use for Analytical Conversations? Read More »
Learn how to efficiently copy only new or updated records from multiple tables using Azure Data Factory’s Incremental Copy feature, saving time, costs, and resources.
How to Incrementally Copy Multiple Tables Using Azure Data Factory (ADF) Read More »
Learn how to use Azure Data Factory’s REST connector to seamlessly pull real-time data from APIs into your data warehouse for analysis and reporting.
Understanding the Azure Data Factory REST Connector Read More »
Learn how to quickly and efficiently move large datasets using the Bulk Insert Copy Method in Azure Data Factory with this step-by-step guide.
A Beginner’s Guide to Bulk Insert Copy Method in Azure Data Factory Read More »
Learn how Azure Data Factory’s Copy Activity simplifies data movement between sources with ease, automation, and reliability
Azure Data Factory Copy Activity: A Simple Guide for Everyone Read More »
Azure Databricks’ Medallion Architecture transforms raw data into actionable insights through its structured Bronze, Silver, and Gold layers, combining simplicity, governance, and advanced analytics in a unified data lakehouse approach.
A Beginner’s Guide to Medallion Architecture in Azure Databricks Read More »
Azure Data Lake is a flexible, cost-effective raw data storage solution, while Delta Lake adds reliability, structure, and performance, transforming raw data into analytics-ready insights.
Azure Data Lake vs. Delta Lake: Understanding the Differences in Simple Terms Read More »
Turn your messy, scattered data into actionable insights effortlessly with the Azure Databricks Lakehouse
Learn how to securely connect Databricks to Azure Data Lake Gen2 without mounts, leveraging direct access configurations for flexibility and control.
Connecting Databricks to Azure Data Lake Gen 2 Without Mounts Read More »
