As big data continues to grow bigger and become more diverse and more real-time, forward-looking organizations are looking to manage and analyze this data using advanced analytics in an environment that might include multiple approaches and technologies. For real-time streaming data this could include utilizing technologies that support in-memory processing, where data and mathematical computations are performed in RAM rather than on disk, enabling 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 TDWI Research director Fern Halper and SAP for a thought-provoking discussion about real-time in-memory analytics.
You will learn:
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