Partitioned Compute is a new feature in Fabric Dataflows that allows you to run certain operations inside a Dataflow query in parallel and therefore improve performance. While UI support is limited at ...

Skills in Python, SQL, Hadoop, and Spark help with collecting, managing, and analyzing large volumes of data. Using visualization tool ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

Starting in September 2026, you can become a part of the Best Internship in Retail (BIIR) Program, alongside 50+ fellow interns! As an Ecommerce Data Analyst Intern, you'll support our Ecommerce and ...

SQL Server tools are used across industries to improve the performance, security, and automation of databases. Modern tools support cloud-hybrid s ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

If you want to build a reporting solution on SAP (S/4HANA or ECC) or Salesforce data in Fabric and don’t want to build everything from scratch then you should check out Business Process ...

A comprehensive end-to-end data analytics project analyzing 110,000+ orders from Brazilian e-commerce platform Olist (2016-2018). This portfolio piece demonstrates advanced SQL, Python ETL, and Power ...

A comprehensive analytics solution for monitoring marketing performance metrics, campaign ROI, lead generation, and team performance using Power BI, SQL Server, and Python. . ├── database/ # SQL ...

Power-hungry data centers risk pushing parts of the U.S. power grid toward failure. Some technology companies are fighting a potential solution: disconnecting the data centers from the grid when ...

Have you ever felt overwhelmed by the chaos of sharing reports and dashboards across your organization? Between endless email chains, scattered file links, and the constant risk of exposing sensitive ...