How to overcome 6 common challenges when implementing big data in the cloud, plus how to mind unstructured data and how to find value and overcome challenges when using big data.
- By Quint Turner
- April 22, 2016
There's no shortage of players that market self-service data prep tools. Only Alteryx is also in the "Visionaries" quadrant of Gartner's "Magic Quadrant for Advanced Analytics Platforms."
- By Steve Swoyer
- April 22, 2016
Accelerate your business closer to real-time operation by implementing new technologies in the data warehouse and related systems.
- By Philip Russom
- April 22, 2016
Get ready for the elastic data warehouse -- which is what, exactly?
- By Steve Swoyer
- April 21, 2016
How to find your IoT niche, plus turning IoT into an advantage and protecting your enterprise from IoT security holes.
- By Quint Turner
- April 19, 2016
Big data platforms such as Hadoop, Cassandra, and Spark are usurping the central role of the ETL engine that is at the heart of data integration.
- By Steve Swoyer
- April 18, 2016
Heading off concerns about cloud computing, an in-depth look at the cloud application layer, and best practices for Hadoop.
- By Quint Turner
- April 18, 2016
Streaming data offers an opportunity for real-time business value. Knowing the big names in streaming data technologies and which one best integrates with your infrastructure will help you make the right architectural decisions.
- By Jake Dolezal
- April 15, 2016