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 ...

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 ...

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 ...

Pure’s Enterprise Data Cloud represents a tangible shift in how enterprises manage data and represents real change at the ...

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 ...

You need to take into account the differences that exist between an on- premise data warehouse and a cloud data warehouse. Register for the eBook – Data Warehouse Automation in Azure for Dummies, ...

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 ...

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