Welcome!

Cloud Expo Authors: Maureen O'Gara, Pat Romanski, Liz McMillan, Elizabeth White, Jeremy Geelan

Related Topics: SOA & WOA, Virtualization, Cloud Expo

SOA & WOA: Article

Greenplum & SAS Pair on ‘Big Analytics’

Will start pushing an appliance that mates Greenplum’s “Big Data” database widgetry with SAS’ high-performance analytics

Mark this date. Greenplum, the EMC unit, and SAS, the biggest privately held software company, have just given birth to a new buzzword: "Big Analytics."

The pair is going to start pushing an appliance that mates Greenplum's "Big Data" database widgetry with SAS' high-performance analytics.

It will be the first time, they say, that users will be able to get an accurate read on all their data, apparently in seconds, rather than be confined to just a sample that can take hours, or even days, thanks to SAS algorithms being parallelized for the first time and a high-speed interface from Greenplum.

SAS CTO Keith Collins says "SAS is redefining ‘in-memory processing.'"

They'll both sell the purpose-built Data Computing Appliance (DCA). Customers will need a license from SAS and get first-line support from Greenplum.

The pair is hoping to have the widget out in late Q3, or worse case in Q4, when it will be priced.

Besides putting out a new version of its Database, Greenplum also has three other appliances: a High Capacity DCA, a High Performance DCA and a Data Integration Accelerator.

The boxes of course integrate database, computing, storage and network into an enterprise-class system based on the unit's base-model DCA introduced a few months ago and capable of scaling to 864TB of uncompressed data.

The new High Capacity DCA is designed to host petabyte-level of data reportedly without taking up additional space, surging power consumption or increasing costs. It is supposed to be the lowest cost-per-unit data warehouse.

The High Performance DCA, based purely on solid-state drives (SSDs), is geared to data loading and data scanning performance. It allows a high number of user-access concurrency. Think access to time-sensitive analytical data.

Lastly, Greenplum's new add-on Data Integration Accelerator is supposed to solve the challenges of data loading in a parallel and scalable model. It's for customers who need to shorten batch loads and implement micro-batch loading, and leverage a growing catalog of data applications.

The widgets all leverage version 4.1 of the Greenplum Database, which simplifies Hadoop integration, extends the range of analytics functions, improves client and application connectivity and expands on the platform's workload management and system health monitoring capabilities.

More Stories By Maureen O'Gara

Maureen O'Gara the most read technology reporter for the past 20 years, is the Cloud Computing and Virtualization News Desk editor of SYS-CON Media. She is the publisher of famous "Billygrams" and the editor-in-chief of "Client/Server News" for more than a decade. One of the most respected technology reporters in the business, Maureen can be reached by email at maureen(at)sys-con.com or paperboy(at)g2news.com, and by phone at 516 759-7025. Twitter: @MaureenOGara

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


Cloud Expo Breaking News
“Big data represents a sea change of capabilities in IT” notes Matt McLarty, Vice President, Client Solutions at Layer 7, in this exclusive Q&A with Cloud Expo Conference Chair Jeremy Geelan. McLarty continued: “In conjunction with mobile and cloud, I think Big Data will provide a technological makeover to the typical enterprise infrastructure, drawing a hard API border in front of core business services while blurring the line between logic and data services.” Cloud Computing Journal: Agree or...
As more enterprises are adopting clouds, the nature of cloud computing is changing. Previously, clouds were used to test applications or for non-mission critical applications. Today, enterprises are using clouds for cost-saving advantages and launching more mission critical applications that have defined performance needs. In his session at the 10th International Cloud Expo, Eric Shepcaro, CEO and Chairman of the Board of Telx, will discuss how distributed computing has many advantages. It wou...
Virtualization and private cloud are good for server consolidation, creating flexible environments, and saving IT budget dollars. A recent survey of 1200 companies with 500+ employees showed that 59% had server virtualization in production or pilot. But that doesn’t tell the whole story. In his session at the 10th International Cloud Expo, Dave Asprey, VP of Cloud Security at Trend Micro, will explain the types of situations when you should consider not virtualizing some of your applications. ...
Hardware and chemistry improvements will make the $1,000 human genome a reality soon. While the massive amount of genomics data that will be generated represents a huge opportunity to advance personal medicine, it also presents an enormous big data challenge. In his session at the 10th International Cloud Expo, Dr Andreas Sundquist, CEO of DNAnexus, will discuss how the cloud will address these issues by enabling the management, storage, sharing and analysis of the world’s DNA data and how it ...
The Platform as a Service (PaaS) market grew out of the fact that no other cloud solution addressed the ever-increasing complexity of managing and writing modern applications: no frameworks, libraries or APIs alone could tackle the sticky application engineering challenges. Unfortunately, PaaS 1.0 is what people are now seeing as strictly a “tool” to easily deploy apps to the infrastructure in a self-service way with little or no differentiation among offerings. However, in order for PaaS to rea...
Hadoop, MapReduce, Hive, Hbase, Lucene, Solr? The only thing growing faster than enterprise data these days is the landscape of big data tools. These tools, which are designed to help organizations turn big data into opportunities, are gaining deeper insight into massive volumes of information. A recent Gartner report predicts that enterprise data will increase by 650% over the next five years, which means that the time is now for IT decision makers to determine which big data tools are the best...
With Cloud Expo 2012 New York (10th Cloud Expo) now under four months away, what better time to start introducing you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference... We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what e...
With Cloud Expo 2012 New York (10th Cloud Expo) now under four months away, what better time to start introducing you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical and strategy sessions at the conference... We have technical and strategy sessions for you every day from June 11 through June 14 dealing with every nook and cranny of Cloud Computing and Big Data, but what of those who are presenting? Who are they, where do they work, what e...
The proliferation of device connectivity is redefining the functionality requirements and capabilities of many embedded systems as more and more of these devices look to leverage the “Cloud.” While many commercial software and hardware component vendors have begun to realign their value propositions to satisfy growing demand, commercial-off-the-shelf products (COTS) alone cannot meet every OEM’s needs. As a result, the Embedded Cloud has injected a new level of uncertainty and a new competitive ...
Building a cloud computing environment with on-demand access to compute, network, and storage resources requires an elastic infrastructure at multiple levels. Virtualization combined with x86 servers has transformed the way we scale out compute resources. Unfortunately, legacy Fibre Channel and iSCSI storage architectures are rooted in rigid mainframe-era designs, and are fundamentally mismatched with the dynamic, shared modern data center. In his session at the 10th International Cloud Expo, ...