Moving to a cloud-based data platform is a tall task, especially with so much data at stake. These tips can help.
- By Emily Washington
- March 19, 2019
Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.
- By Philip Russom
- March 15, 2019
A cloud database must be designed and developed from the ground up to have these five critical characteristics.
- By Chris Anderson
- March 11, 2019
Manage your citizen data scientists, teach cybersecurity practices, and be ready for the next round of privacy regulation.
- By Upside Staff
- March 7, 2019
In the last part of our series, we examine the detailed activities of an analytics team before, during, and after a sprint. You can compare your team’s work flow to the activities list in this article to see opportunities to become even more agile.
- By Stan Pugsley
- March 6, 2019
Working with data requires adaptation of many traditional agile techniques. How do we put agile practices and DevOps tools to use for analytics and data science projects?
- By Stan Pugsley
- March 5, 2019
Creating an agile analytics development environment is about much more than just tools. It is a combination of culture, practices, and tools that enable high productivity, high data quality, and maximum business value.
- By Stan Pugsley
- March 4, 2019
Is Hadoop dead? Not so fast. Plan on supporting multiple environments for some time to come.
- By Barry Devlin
- February 26, 2019