NYC Data Week, Day 1: IBM, Tervela, Cisco and SiSense announce

Strata + Hadoop World NYC opens tomorrow. NYC Data week starts today, and so have the product announcements.
Written by Andrew Brust, Contributor

With the Strata + Hadoop World starting tomorrow at the Sheraton and Hilton Hotels in Midtown Manhattan and various related events going on all week, O’Reilly and the City of New York’s Department of Information Technology and Telecommunications (DoITT) are presenting NYC Data Week from today through Friday. As such, there will be a number of major announcements in the Big Data and Business Intelligence (BI) worlds this week, including several already on record today:

Armonk integrating data acquisitions
Big Data poster child IBM, is hosting Information on Demand (IoD), a Big Data conference of its own, in Las Vegas this week.  And whether it’s because of IoD in Vegas or Strata + Hadoop World in NYC, IBM is introducing several new products, some of which serve to bring cohesion among the many acquired products in the company's analytics portfolios. 

Also read: IBM eyes vertical applications for big data

The new products include:

  • The IBM Digital Analytics Accelerator, aimed at providing Chief Marketing Officers with sentiment analysis capabilities and powered by technology from Netezza and Unica, companies IBM acquired in 2010
  • New Communications Services Provider accelerators for InfoSphere Streams, the real-time analytics engine developed by IBM Research
  • Integration between InfoSphere BigInsights – IBM’s own Hadoop distribution – and data federation technology from Vivisimo, a company acquired by IBM in April of this year.  In addition, BigInsights will now integrate with BI technologies deriving from IBM’s 2008 acquisition of Cognos
  • Analytic Answers, a cloud-hosted predictive analytics service for small and medium sized businesses
  • IBM Disclosure Management software, which captures finance reporting data to address “not only regulatory requirements, but also controllership, investor relations, treasury, and financial planning and analysis disclosure requirements”

Tervela’s Big Data pump 

Moving on, Tervela, whose technology is a mash-up of sorts between message-based middleware and data integration, is today announcing a new product called Tervela Turbo.  The product collects streaming data from numerous sources and passes it through to downstream Big Data systems ready to pounce and perform analysis on that data.  The product includes a loader for Hadoop that can target HDFS and can apparently be called directly from MapReduce code.  It also includes a parallelized Teradata loader; a database replicator that supports Oracle, SQL Server, DB2 and MySQL, among others; a file replicator; and the Web & Mobile Assistant, which embeds publish/subscribe (aka "pub/sub") data processing for mobile and Web apps using application programming interfaces (APIs) based on both Node.js and straight JavaScript.

Cisco automates Big Data processes
As Big Data’s enterprise ambitions (and vice versa) heat up, networking giant Cisco seeks to make Big Data processes a Data Center scheduled job staple.  The company’s Tidal Enterprise Scheduler 6.1 now supports Hadoop.  The product already supported applications from Oracle, Microsoft, SAP/Business Objects, Informatica, and IBM/Cognos.  Now it supports Hadoop distributions from Cloudera, MapR and others.

SiSense: For Big Data, small is beautiful
SiSense is a Big Data and BI company hardhearted in Redwood Shores, CA and Tel Aviv, Israel.  The company feels that while clusters are great, scaling across resources on a single compute node is important too.  And so SiSense's product, Prism, is capable of handling large anayltic workloads on a single machine.  Prism does this via its Elasticube technology, which utilizes an in-memory column store, data compression, query optimization and parallel processing to do lots of work on spare compute resources.  To make its point, at its booth at Strata + Hadoop World NYC, SiSense will demonstrate the analysis of a terabyte of data on a sub-$750 Dell Vostro 3560 laptop with 8GB of RAM.

More Big Data news is coming this week.  Watch for posts from me and my ZDNet colleagues to keep up on all of it.

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