Big Data Articles
For years, data warehouses and extract, transform and load (ETL) have been the primary methods of accessing and archiving multiple data sources across enterprises. Now, an emerging approach - data virtualization - promises to advance the concept of the federated data warehouse to deliver more timely and easier-to-access enterprise data. These are some of the observations made at Composite Software's third Annual Data Virtualization Day, held in New York City. This year's gathering was the largest ever, with nearly 250 customers and practitioners in attendance, Composite reports.
Posted November 13, 2012
Attunity Ltd., a provider of information availability software solutions, has released Attunity Managed File Transfer (MFT) for Hadoop. The new enterprise data transfer solution is designed to accelerate big data collection processes and integrate them seamlessly into and out of Hadoop. MFT enables organizations to collect and transfer big data in both the cloud and enterprise data centers for strategic initiatives including log and machine-data analytics, business intelligence, and data archiving."Attunity MFT for Hadoop, the first of several Hadoop solutions that Attunity will unveil, is designed to deliver on the great promise of Hadoop by helping organizations achieve faster time-to-value for big data analytics projects," says Matt Benati, VP Global Marketing at Attunity.
Posted November 09, 2012
The opportunities and challenges presented by big data are addressed in a new report summarizing the results of a survey of data managers and professionals who are part of the Independent Oracle Users Group. The survey was underwritten by Oracle Corporation and conducted by Unisphere Research, a division of Information Today, Inc. Key highlights from the survey include the finding that more than one out of 10 data managers now have in excess of a petabyte of data within their organizations, and a majority of respondents report their levels of unstructured data are growing.
Posted October 24, 2012
Business analytics vendor OpTier has released OpTier APM 5.0, a solution that provides real-time business transaction analytics and deep diagnostics, enabling improved visibility and gains in productivity. OpTier also released a new Big Data Analytics solution that takes advantage of OpTier's business transaction-based platform, providing real-time big data analytics already in context and reducing time and cost.
Posted October 01, 2012
Data management vendor Terracotta, Inc. has released BigMemory Go, the latest innovation in the BigMemory line that allows customers to put as much data in memory as desired to speed application performance at big data scale. The product is being offered via a free 32GB per instance production license that can be deployed on as many servers as desired.
Posted September 25, 2012
The first computer program I ever wrote (in 1979, if you must know) was in the statistical package SPSS (Statistical Package for the Social Sciences), and the second computer platform I used was SAS (Statistical Analysis System). Both of these systems are still around today—SPSS was acquired by IBM as part of its BI portfolio, and SAS is now the world's largest privately held software company. The longevity of these platforms—they have essentially outlived almost all contemporary software packages—speaks to the perennial importance of data analysis to computing.
Posted September 19, 2012
Oracle announced enhanced support for the R statistical programming language, including new platform ports of R for Oracle Solaris and AIX in addition to Linux and Windows, connectivity to Oracle TimesTen In-Memory Database in addition to Oracle Database, and integration of hardware-specific Math libraries for faster performance. "Big data analytics is a top priority for our customers, and the R statistical programming language is a key tool for performing these analytics," says Andrew Mendelsohn, senior vice president, Oracle Database Server Technologies.
Posted September 12, 2012
Business intelligence software vendor Actuate has partnered with VoltDB, provider of ultra-high-throughput relational database systems, to offer a solution that will allow ActuateOne and VoltDB customers to process their big data more quickly and effectively, resulting in improved insights. Together, the VoltDB and ActuateOne alliance is expected to substantially reduce the time from big data access to operational insights, providing customers with a competitive advantage in the market and improving the bottom line.
Posted September 11, 2012
Big data and cloud analytics vendor Kognitio has partnered with Xtremeinsights, a provider of solutions for leveraging Hadoop in existing data management systems. Together, the partners aim to deliver software and integration technologies to businesses that want to leverage the Hadoop platform and gain actionable insights from their big data. Using its in-memory analytical platform, Kognitio speeds up the analysis of data from Hadoop clusters, enabling ad hoc, real-time analytics at a significantly lower cost. "Xtremeinsights can build the underlying infrastructure so that your business users can do ad hoc analysis on ridiculous amounts of data and get answers in real-time," Michael Hiskey, Kognitio's vice president of marketing and business development, tells DBTA.
Posted August 23, 2012
Pentaho's Business Analytics 4.5 is now certified on Cloudera's latest releases, Cloudera Enterprise 4.0 and CDH4. Pentaho also announced that its visual design studio capabilities have been extended to the Sqoop and Oozie components of Hadoop. "Hadoop is a very broad ecosystem. It is not a single project," Ian Fyfe, chief technology evangelist at Pentaho, tells DBTA. "Sqoop and Oozie are shipped as part of Cloudera's distribution so that is an important part of our support for Cloudera as well - providing that visual support which nobody else in the market does today."
Posted August 23, 2012
ParAccel, an enterprise analytics platform provider, has announced the general availability of ParAccel 4.0. "If you consider how analytics have traditionally been run - offline, static, standalone - there's a large gap that needs to be filled if organizations want to meet 21st century demands," says Chuck Berger, CEO at ParAccel. The new release builds on ParAccel's expertise to help organizations achieve high performance, interactive big data analytics with improved speed and reliability
Posted August 14, 2012
Cloud operating system provider Nimbula has unveiled its elastic Hadoop solution with MapR Technologies, allowing users to run their Hadoop clusters on private clouds. The elasticity and multi-tenancy of Nimbula Director paired with the dependability and security of MapR Hadoop Distribution allows for a fully-functional and highly-available Hadoop cluster on a single pool of infrastructure. "What we're trying to achieve is have the power of Hadoop on top of a private cloud and bringing the best of each world to the customer," Reza Malekzadeh, Nimbula's vice president of marketing & sales, tells 5 Minute Briefing. Customers can run Hadoop and non-Hadoop workloads on the same shared infrastructure.
Posted August 14, 2012
Syncsort, a global leader in high-performance data integration solutions, has certified its DMExpress data integration software for high-performance loading of Greenplum Database. Syncsort has also joined the Greenplum Catalyst Developer Program. Syncsort DMExpress software delivers extensive connectivity that makes it easy to extract and transform data from nearly any source, and rapidly load it into the massively parallel processing (MPP) Greenplum Database without the need for manual tuning or custom coding. "IT organizations of all sizes are struggling to keep pace with the spiraling infrastructure demands created by the sheer volume, variety and velocity of big data," says Mitch Seigle, vice president, Marketing and Product Management, Syncsort.
Posted July 25, 2012
Hyve Solutions, a division of SYNNEX Corporation has entered a software licensing agreement with IBM to offer IBM InfoSphere BigInsights software with its BigD family of systems hardware. The turnkey platform is intended to provide mid-market clients with an enterprise-class big data system to help them quickly deploy Hadoop-based analytics without the need for on-premise professional services or developers. To achieve enterprise-class standards in BigD systems, Hyve Solutions and IBM collaborated with Zettaset, Inc. to build in safeguards that provide service management, failover and restart, as well as alerting and monitoring features.
Posted June 19, 2012
The term "big data" refers to the massive amounts of data being generated on a daily basis by businesses and consumers alike - data which cannot be processed using conventional data analysis tools owing to its sheer size and, in many case, its unstructured nature. Convinced that such data hold the key to improved productivity and profitability, enterprise planners are searching for tools capable of processing big data, and information technology providers are scrambling to develop solutions to accommodate new big data market opportunities.
Posted May 23, 2012
Organizations are struggling with big data, which they define as any large-size data store that becomes unmanageable by standard technologies or methods, according to a new survey of 264 data managers and professionals who are subscribers to Database Trends and Applications. The survey was conducted by Unisphere Research, a division of Information Today, Inc., in partnership with MarkLogic in January 2012. Among the key findings uncovered by the survey is the fact that unstructured data is on the rise, and ready to engulf current data management systems. Added to that concern, say respondents, is their belief that management does not understand the challenge that is looming, and is failing to recognize the significance of unstructured data assets to the business.
Posted May 09, 2012
Zettaset has announced SHadoop, a new security initiative designed to improve security for Hadoop. The new initiative will be incorporated as a security layer into Zettaset's Hadoop Orchestrator data management platform. The SHadoop layer is intended to mitigate architectural and input validation issues that exist within the core Hadoop code, and improve upon user role audit tracking and user level security.
Posted April 12, 2012
RainStor, a provider of big data management software, is joining with IBM in the big data market. RainStor will work with IBM to deliver a solution that combines IBM's enterprise-class, Hadoop-based product, InfoSphere BigInsights, with RainStor's Big Data Analytics on Hadoop product to enable faster, more flexible analytics on multi-structured data, without the need to move data out of the Hadoop environment. According to the vendors, the new combined solution can reduce the TCO for customers by significantly reducing physical storage, and also improving the performance of querying and analyzing big data sets across the enterprise.
Posted March 27, 2012
At the Strata Conference today Calpont anounced InfiniDB 3, the latest release of its high performance analytic database. Designed from the ground up for large-scale, high-performance dimensional analytics, predictive analytics, and ad hoc business intelligence, the new release includes capabilities to capitalize on a variety of data structures and deployment variations to meet organizations' need for a flexible and scalable big data architecture.
Posted February 29, 2012
Composite Software has introduced version 6.1 of its Composite Data Virtualization Platform. The new release offers improved caching performance, expanded caching targets, data ship join for Teradata, and Hadoop MapReduce connectivity. Composite 6.1 also provides improvements to the data services development environment with an enhanced data services editor and new publishing options for Representational State Transfer (REST) and Open Data Protocol (OData) data services.
Posted February 17, 2012
RainStor, a provider of big data management software, has unveiled the RainStor Big Data Analytics on Hadoop, which the company describes as the first enterprise database running natively on Hadoop. It is intended to enable faster analytics on multi-structured data without the need to move data out of the Hadoop Distributed File System (HDFS) environment. There is architectural compatibility with the way Rainstor manages data and the way Hadoop Distributed File Systems manage CSV files, says Deirdre Mahon, vice president of marketing at Rainstor.
Posted January 25, 2012
The Oracle Big Data Appliance, an engineered system of hardware and software that was first unveiled at Oracle OpenWorld in October, is now generally available. The new system incorporates Cloudera's Distribution Including Apache Hadoop (CDH3) with Cloudera Manager 3.7, plus an open source distribution of R. The Oracle Big Data Appliance represents "two industry leaders coming together to wrap their arms around all things big data," says Cloudera COO Kirk Dunn.
Posted January 25, 2012
"Big data" and analytics have become the rage within the executive suite. The promise is immense - harness all the available information within the enterprise, regardless of data model or source, and mine it for insights that can't be seen any other way. In short, senior managers become more effective at business planning, spotting emerging trends and opportunities and anticipating crises because they have the means to see both the metaphorical trees and the forest at the same time. However, big data technologies don't come without a cost.
Posted January 11, 2012
The big data playing field grew larger with the formation of Hortonworks and HPCC Systems. Hortonworks is a new company consisting of key architects and core contributors to the Apache Hadoop technology pioneered by Yahoo. In addition, HPCC Systems, which has been launched by LexisNexis Risk Solutions, aims to offer a high performance computing cluster technology as an alternative to Hadoop.
Posted July 27, 2011
The rise of "big data" solutions - often involving the increasingly common Hadoop platform - together with the growing use of sophisticated analytics to drive business value - such as collective intelligence and predictive analytics - has led to a new category of IT professional: the data scientist.
Posted May 12, 2011
Google's first "secret sauce" for web search was the innovative PageRank link analysis algorithm which successfully identifies the most relevant pages matching a search term. Google's superior search results were a huge factor in their early success. However, Google could never have achieved their current market dominance without an ability to reliably and quickly return those results. From the beginning, Google needed to handle volumes of data that exceeded the capabilities of existing commercial technologies. Instead, Google leveraged clusters of inexpensive commodity hardware, and created their own software frameworks to sift and index the data. Over time, these techniques evolved into the MapReduce algorithm. MapReduce allows data stored on a distributed file system - such as the Google File System (GFS) - to be processed in parallel by hundreds of thousands of inexpensive computers. Using MapReduce, Google is able to process more than a petabyte (one million GB) of new web data every hour.
Posted January 11, 2010
Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to maintaining Google's website indexes.
Posted September 14, 2009