A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Microsoft Azure SQL Data Warehouse is a cloud-based data warehouse that uses the Microsoft SQL engine and MPP (massively parallel processing) to quickly run complex queries across petabytes of ...

In a homecoming of sorts, cloud data warehouse pure-play Snowflake's product is no longer an AWS exclusive Written by Andrew Brust, Contributor July 12, 2018 at 6:00 a.m. PT ...

Using tools like Amazon Redshift, Azure SQL Data Warehouse, and Google BigQuery—each built for the cloud platform upon which it runs—can help IT staff run data analytics workloads on data ...

The days are numbered for on-premise data warehousing solutions like Teradata, Oracle, SQL Server and DB2. Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW ...

Microsoft Azure Synapse Analytics brings together data warehousing, integration, and real-time analytics for a unified data analytics and AI experience. Forrester applauded the cloud-native offering ...

This article was contributed by Gunasekaran S., director of data engineering at Sigmoid. Over the years, cloud data lake and warehousing architectures have helped enterprises scale their data ...

Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture. As businesses pivot to a digital-first model, more and ...

Enter modern cloud-based data warehouses and data management platforms such as Microsoft Azure Synapse and Snowflake. Both are well-respected data warehousing platforms and are well-rated by users ...

Architecture: SQL-based data warehousing with big data integration, optimized for large datasets and complex queries. ... Azure, and Google Cloud, providing deployment flexibility.