Big Data

Hadoop: From Open Source Project to Big Data Ecosystem

Grazed from GigaOM.  Author: Martin Hall.

Big Data Means Big Sales: IBM to Buy Netezza for $1.7B

Grazed from GigaOM.  Author: Om Malik.

The era of Big Data arrived in full earnest this week when IBM decided to acquire Marlborough, Mass.,-based Netezza Corporation, a maker of data warehousing analytics for a whopping $1.7 billion in cash. IBM’s decision came hours after Oracle announced a cloud-based Exadata Elastic Service at Oracle World in San Francisco.

SAP study 'proves importance of data quality'

Grazed from Experian QAS.  Author: James Glass.

New research sponsored by SAP's Sybase proves the tangible importance of data quality to an organisation, it has been claimed.

IT Business Edge blogger Loraine Lawson explained that a study conducted by the McCombs School of Business at the University of Texas showed there are five data-related areas which can change financial metrics.

"Specifically, a mere ten per cent improvement in one or two areas - data quality, usability, intelligence, remote accessibility or sales mobility - can help finances," she explained.

Why a DIY Big Data Stack Is a Better Option

Grazed from GigaOM.  Author: Shion Deysarkar.

Today, many conversations within the big data community are centered around the rise of the standard, big data stack, which includes utilities like HDFS, HBase, and other increasingly-popular applications. While settling on a standard big data stack is deeply important to the big data industry as a whole, I’m nonetheless questioning the operational and competitive consequences for companies who choose to buy into this standard without first considering the value of building their own proprietary solution.

Where We Are Today: Limited Choice

Salesforce Integrates Jigsaw — Refining Contact Data

Grazed from GigaOM.  Author: Ben Kepes.

Startup Makes Probability-Based Chips for Big Data Apps

Grazed from GigaOM.  Author: Om Malik.

Lyric Semiconductor, a Cambridge, Mass.-based startup that was spun out of MIT in 2006, today announced a revolutionary new approach to processing data called probability processing. It wants to make chips that are fit for a world drowning in information and dealing with data deluge.

The company was started by Dr. Ben Vigoda, a chip industry veteran, and MIT Scientist and chip industry veteran David Reynolds. It’s backed by Analog Devices CEO and lead partner of Stata Ventures, Ray Stata, with more than $20 million in funding from DARPA. It’s coming out of stealth today.

Aster Data Offers Free MapReduce IDE To Boost Use of Big Data

Grazed from GigaOM.  Author: Editorial Staff.

Seagate and Samsung Team Up to Bring Flash to the Data Center

Grazed from GigaOM.  Author: Stacey Higginbotham.

Cisco Debuts FabricPath

Grazed from eWeek.  Author: Cameron Sturdevant.

Standardisation 'can improve data quality'

Grazed from Experian QAS.  Author:  Neil Hill.

The most common way to improve and ensure data quality is through standardisation techniques.

This is the view of a recent report on the issue of product data by The Data Warehousing Institute (TWDI), reports Information Management.

It stated that regardless of the type of data being examined, standardisation can help to support the diverse and complex standards of business information.

The report added that product data quality can be further enhanced with the addition of as much extra information as possible.