You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Don’t overcomplicate your analytics. Sometimes the simplest analysis is the best.
- By Scott McKinney
- October 12, 2017
Read about four popular machine learning algorithms, advice for successful data stewardship, and the advantages of NoSQL databases.
- By Lindsay Stares
- October 12, 2017
Language analysis doesn’t have to be complex; these charts show the sources for English, where common languages are spoken, and how writing affects drawing.
- By Lindsay Stares
- October 11, 2017
Seven keys to successful BI strategy, understanding the role of the CDO, and how much time is lost to office technology issues.
- By Lindsay Stares
- October 10, 2017
Hadoop was a significant improvement when one gigabit networking was the norm, but a GPU database is a much better fit for real-time analytics than a traditional data lake.
- By Woody Christy
- October 6, 2017
Pie charts can be misleading or confusing, but they can also be just right for the data.
- By Lindsay Stares
- October 4, 2017
What data scientists think about their jobs, fallacies new data scientists should avoid, and why you should train citizen data scientists.
- By Lindsay Stares
- October 3, 2017