Extensive design and development effort has been expended over more than three decades to allow relational databases to handle time properly. Can data lakes manage it as well?
- By Barry Devlin
- December 4, 2017
Can artificial intelligence keep enterprise data safe and stay ahead of hackers' latest techniques?
- By Brian J. Dooley
- November 21, 2017
Artificial intelligence, blockchain, and the Internet of Things have brought major, sometimes unwelcome shifts within the finance industry.
- By Michael Volkmann
- November 17, 2017
What is event data, and what makes it unique and valuable for analytics?
- By Michelle Wetzler
- October 30, 2017
You need these best practices to define the data lake and its methods.
- By Philip Russom
- October 16, 2017
Internet of Things devices are becoming more common in every organization. Make sure you are implementing at least minimum standards for IoT security.
- By Mike Schiff
- October 9, 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
Use a big data model to value start-ups, learn the right languages for data science, and understand how the healthcare industry is trying to protect connected devices.
- By Lindsay Stares
- August 22, 2017