SAS Prepares Hadoop-Powered In-Memory BI Platform
By Mark Dexter
10th February 2012

Analytics giant SAS is planning to step up competition in the business intelligence arena with a new high-performance platform that will hit on three of the hottest hot buttons in the data-analysis arena: big data, in-memory, and business analytics.

SAS executives said the planned hardware-ready software package will combine the scalability of the Hadoop Distributed File System (HDFS) and the in-memory processing speed of a RAM-intensive clustered blade server environment. The platform is said to offer rapid analytic insight into the types of routine, ad-hoc questions business analysts typically explore.

Plenty of BI products can deliver red, yellow, and green key performance indicators (KPIs) on dashboard displays, but the new platform will go further, said Greg Hodges, SAS's product management director for BI products, in an exclusive interview with InformationWeek. "This platform will be able to tell the user why the KPI is red by applying advanced analytics in a way that's easy for business analysts to digest," Hodges said.

For example, the platform will be able to find patterns and correlations among data, uncovering root causes without requiring PhD-level analysts, Hodges said. The key to ease of use is an ad-hoc data exploration interface that lets users drag and drop data sets onto a palate for anlaysis. The product then automatically choses the most appropriate chart or visualization depending on the sources and data types selected, Hodges said.

The new high-performance BI platform is expected to be released in the first half of 2012. SAS declined to offer competitive comparisons, but it would seem to answer in-memory competition from SAP Hana and Oracle Exalytics as well as in-memory-powered data-visualization and data-exploration capabilities from the likes of Tableau Software and Tibco Spotfire.

SAS stressed that it will not sell hardware. Rather, the software will be ready to run on commodity blade servers from any hardware vendor. Administrators will have a Web-based interface through which they will be able to point at existing data sources including relational databases and SAS repositories. From there the data is copied into HDFS, which serves strictly as a high-scale data storage layer. When data is requested, it's moved from HDFS into memory on each of the blades in the cluster. SAS calculations are performed in distributed fashion using SAS grid data-processing technology. No separate database will be required, according to Hodges.

SAS declined to divulge product names or details on the Hadoop software running behind the scenes. The new BI platform will extend the SAS high-performance product line, which already includes SAS High-Performance Computing analytics platform, which offers retail big-data price and assortment planning applications on EMC Greenplum and Teradata data warehousing platforms.

Read at source: Information Week

Comments

Currently there are no comments. Be the first to post one!

Post Comment

*
*
*

15 years on: How times have changed…

When I incorporated KDR 15 years ago this month I had a simple mission. I wanted to run the market leading agency in its field placing contract staff with experience of working with the emerging data warehouse tool Kalido. I... Read More

The life of a Business Administration apprentice!

I started my apprenticeship with KDR in the September of 2018, when I was searching for a job I never imagined that I would find a company quite like KDR, from the moment I first stepped through the door everyone... Read More

How can data analytics impact climate change?

Every quarter we produce an e-magazine on issues and topics within the data and analytics world. In our previous issues we have looked at the impact of blockchain , the future of the data warehouse and GDPR . In our next issue... Read More

Will veganism save the planet?

Before I begin… No, I’m not a vegan. In fact, I’m no way near being a vegan! But I have always had an interest in the environment and how much impact we are having on it and running a data... Read More

Where should we send our newsletter?

Close