Stream Processing: Streaming Data in Real Time, in Memory
TDWI Speaker: Fern Halper, TDWI Research Director
Date: Wednesday, August 12, 2015
Time: 9:00 a.m. PT, 12:00 p.m. ET
As big data continues to grow, become more diverse, and move into real time, forward-looking organizations want to manage and analyze it with advanced analytics in an environment that might include multiple approaches and technologies. For real-time streaming data, this could mean utilizing technologies that support in-memory processing, where data and mathematical computations are performed in RAM rather than on disk to enable processing thousands of times faster than data access from disk. In-memory technologies have become increasingly important as companies see the need to manage and analyze growing volumes of potentially disparate and real-time data. For example, data streams from the Internet of things (where devices might provide data) can be captured and processed in memory to predict future events or recognize current events that require action.
TDWI is seeing consistent adoption of advanced analytics and the technology to support it. Join Research Director Fern Halper and SAP for a thought-provoking discussion about real-time in-memory analytics.
You will learn about:
- The evolving data and analytics environment
- The implications of advanced analytics and in-memory computing on business decision making and the organization
- How advanced analytics and in-memory technologies can be used to analyze stream data