Column-oriented database systems, also known as column-stores, have an important demand in the past few years. Basically, it is about storing each database column separately so that the attributes ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

As a researcher at the University of California, Berkeley, in the early 1970s, Michael Stonebraker co-created the Ingres and Postgres technology that underlies many leading relational databases today: ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

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Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries. Analytic databases are the principal engines ...

Infobright on Monday unwrapped a new version of its open source data warehouse for analytics — and shared its lofty expectations for the product. “What MySQL did for databases, letting the low end of ...