The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization. In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.
- By Philip Russom
- December 16, 2016
From disruptions to new technologies, 2017 is shaping up to be an important year for data and the people who use or manage it.
- By Stan Christiaens
- December 16, 2016
Organizations need to seek the right balance of freedom and oversight that enable users to get their work done self-service style. Here are four trends that will help organizations achieve that goal in 2017.
- By David Stodder
- December 16, 2016
Learn why your enterprise might already be ready for IoT data, how the IoT security problem grew, and how to drive transformation with IoT.
- By Quint Turner
- December 16, 2016
Greater interest (and deployment of) AI, advanced analytics, and open source are among the trends you'll be seeing in 2017.
- By Fern Halper
- December 16, 2016
The use and abuse of AI-based chatbots and avatars powered by your own big data may threaten democracy by the 2020 U.S. election far more than this year's fake news.
- By Barry Devlin
- December 15, 2016
Rethink what your cybersecurity covers, learn why so many enterprises moved analytics to the cloud, and make your security assessments worthwhile.
- By Quint Turner
- December 15, 2016
Read predictions for analytics in 2017, how human knowledge may prevent automation errors, and how knowing the right context provides value in big data.
- By Quint Turner
- December 14, 2016