eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...
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 ...
This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.
If there’s one central theme to my blog DBMS2, it’s that modern DBMS alternatives should in many cases be used instead of the traditional market leaders. So it was only a matter of time before ...
If you’re looking for a quick and easy way to leverage ana­lytics focused on a specific topic, look no further. During his BLUEPRINT 4D session, Patrick Wheeler, product management, Oracle Database, ...
The argument for everyone to have an AWR Warehouse as part of their IT Infrastructure seems like a simple one to me. We so often discuss its features, but rarely do we talk about why IT should take ...
From AWS, Google and Oracle to Databricks, IBM and Snowflake, here are the top 16 vendors leading the cloud database management systems market, according to Gartner’s new Magic Quadrant. Gartner’s Top ...
Click through for five data warehouse design mistakes organizations should avoid, as identified by Himanshu Sareen, CEO of Icreon Tech. Data warehouse design is not a short-term investment and it’s ...
REDMOND, Wash. — Oct. 12, 2007 — Microsoft® SQL Server™ 2005 has been positioned in the Leaders quadrant of the Gartner Magic Quadrant for Data Warehouse Database Management Systems, 2007. “In my ...
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 ...