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
Why some organizations don’t trust their data, how DBAs fit into the modern data-driven enterprise, and how blockchain is changing supply chains.
- By Upside Staff
- February 21, 2019
How data management impacts customer experience, factors for choosing self-service architecture, and improving data quality and risk management.
- By Upside Staff
- February 7, 2019