SAS and Hadoop Technology : Overview

Provides overview information for SAS and Hadoop technologies and explains how SAS and Hadoop work together. Use this document as a starting point to learn about the SAS technology that interacts with Hadoop.

When you use SAS with Hadoop, you combine the power of analytics with the key strengths of Hadoop: large-scale data processing and commodity-based storage and compute resources. Using SAS with Hadoop maximizes big data assets in the following ways:

- Hadoop data can be leveraged using SAS. Just as with other data sources, data stored in Hadoop can be transparently consumed by SAS. This means that tools already in place can be used with Hadoop. Not only can SAS access data from Hadoop, but SAS can also assist in managing your Hadoop data.

- The power of SAS analytics is extended to Hadoop. Long before the term big data was coined, SAS applied complex analytical processes to large volumes of data. SAS was designed from the beginning to scale and perform well in any environment and to take advantage of complementary technologies.

Currently, more than 20 SAS products, solutions, and technology packages interact with Hadoop. Each SAS technology provides different functionality—from accessing and managing Hadoop data to executing analytical models in a Hadoop cluster. In addition to the variety of functionality, SAS processes Hadoop data using different methods so that a particular business problem can be resolved in an optimal way.