SAS support for Hadoop spans the entire analytic life cycle and centers on a singular goal – helping you know more, faster, so you can make better decisions with more confidence.
Our unique in-memory processing brings analytics as close to the data as possible to avoid time-consuming data movement.
You can access and integrate data from Hadoop, push SAS processing to the Hadoop cluster via MapReduce, or lift data from HDFS into memory and perform distributed data processing, exploratory analysis, analytic calculations and more – all interactively.
Learn how the integration of Hadoop's data storage and SAS Analytics can give you an unprecedented stream of steady, rapid and powerful insights across your business.
Date: 21 October 2015, Wednesday
Time: 9AM - 11.30AM (Breakfast Provided)
Venue: SAS Office, Level 8, Twenty Anson, 20 Anson Road, S(079912) See Map
SAS® and Hadoop
Better manage your Hadoop data. Manage Hadoop data to promote reuse and consistency, and comply with IT policies.
Get more precise results with superior analytics for Hadoop. Unlock the value in structured and unstructured data stored in Hadoop with the largest,most proven variety of analytical algorithms.
Unprecedented speed and interactivity to Hadoop. SAS in-memory engine, takes analytics closer to Hadoop, reading the data once and holding it in-memory for multiple analyses within a session across multiple users.
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