How to avoid data analytics traps, the reason data scientists are necessary for your storage infrastructure, and how to have effective data science without a data scientist.
- By Quint Turner
- March 9, 2016
Two companies take a different approach to building the better-than-data warehouse data warehouse.
- By Steve Swoyer
- March 9, 2016
A collection of interesting facts about cloud computing (and the accuracy of spreadsheets), plus a reminder that correlation does not mean causation.
- By James E. Powell
- March 8, 2016
Almost two years on, it looks as if Spark SQL, the SQL interpreter for the red-hot Spark cluster computing framework, is shaping up to be a query-processing powerhouse.
- By Steve Swoyer
- March 8, 2016
Data storytelling is often too abstract to apply to business intelligence. However, there are practical techniques of enhancing BI with words, annotations, and narrations.
- By Jake Dolezal
- March 7, 2016
Getting useful insight from that pile of data you're collecting is worth it; here's how to do it right. Plus, a survey on the customer experience and the part data quality plays and 10 characteristics every modern data integration program must have.
- By Quint Turner
- March 4, 2016
The more you understand how algorithmic models work, the better the opportunities to engage the right set of data scientists and make them productive.
- By David Loshin
- March 4, 2016
Articles in today's digest look at creating visualizations like a data artist, how to use scatter plots effectively, and how to use create simple and effective graphs with JavaScript.
- By Quint Turner
- March 3, 2016