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	<title>Data Analysts, Data Trending, Reporting &#187; Columnar databases</title>
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		<title>Columnar databases</title>
		<link>http://datamart.org/2009/06/08/columnar-databases/</link>
		<comments>http://datamart.org/2009/06/08/columnar-databases/#comments</comments>
		<pubDate>Mon, 08 Jun 2009 18:45:55 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Columnar databases]]></category>

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		<description><![CDATA[As the name implies, columnar databases are organized by column rather than row: that is, all instances of a single data element (say, Customer Name) are stored together so they can be accessed as a unit. This makes them particularly efficient at analytical queries, such as list selections, which often read a few data elements [...]]]></description>
			<content:encoded><![CDATA[<p>As the name implies, columnar databases are organized by column rather than row: that is, all instances of a single data element (say, Customer Name) are stored together so they can be accessed as a unit. This makes them particularly efficient at analytical queries, such as list selections, which often read a few data elements but need to see all instances of these elements. In contrast, a conventional relational database stores data by rows, so all information for a particular record (row) is immediately accessible. This makes sense for transactional queries, which typically concern one record at a time.</p>
<p><strong>Source</strong>: How to Judge a Columnar Database -Marketing Systems<br />
Information Management Magazine, December 2007  by David M. Raab</p>
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		<title>TDWI Research Indicates Increasing Adoption of MPP Columnar Databases for Data Warehousing and Analytic Applications</title>
		<link>http://datamart.org/2009/06/08/tdwi-research-indicates-increasing-adoption-of-mpp-columnar-databases-for-data-warehousing-and-analytic-applications/</link>
		<comments>http://datamart.org/2009/06/08/tdwi-research-indicates-increasing-adoption-of-mpp-columnar-databases-for-data-warehousing-and-analytic-applications/#comments</comments>
		<pubDate>Mon, 08 Jun 2009 18:36:16 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Columnar databases]]></category>

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		<description><![CDATA[SAN DIEGO&#8211;(Business Wire)&#8211; Jan 2009 Recent research from The Data Warehousing Institute (TDWI) indicates an increasing adoption of columnar databases as the platform of choice for datawarehousing and analytic applications due to their ability to deliver fast query response, and efficiently compress and provide access to large amounts of detail data. According to Philip Russom, [...]]]></description>
			<content:encoded><![CDATA[<p>SAN DIEGO&#8211;(Business Wire)&#8211; Jan 2009<br />
Recent research from The Data Warehousing Institute (TDWI) indicates an<br />
increasing adoption of <a href="http://datamart.org/?p=255">columnar databases </a>as the platform of choice for datawarehousing and analytic applications due to their ability to deliver fast query<br />
response, and efficiently compress and provide access to large amounts of detail<br />
data.</p>
<p>According to Philip Russom, senior manager, TDWI Research, a common complaint<br />
that TDWI hears from BI professionals is that their data warehouse platform<br />
consists of a traditional DBMS and SMP hardware, both designed for transaction<br />
processing, not data warehousing. &#8220;Users are spending a significant amount of<br />
time and energy tweaking transactional platforms to get adequate performance for<br />
the type of queries and data volumes common in today`s data warehousing<br />
environments,&#8221; he said.</p>
<p>For this reason and others, he said, many BI professionals are seeking<br />
alternatives to the usual DBMS/SMP platform. &#8220;That search has led many of them<br />
to explore columnar databases, especially when they can be deployed in an MPP<br />
(Massively Parallel Processing) architecture,&#8221; Russom said in a recent TDWI<br />
webinar event entitled &#8220;Columnar Databases &#8211; Designed for Data Warehouse High<br />
Performance.&#8221;</p>
<p>Merkle Reduces Processing Times by Approximately 200 Percent in First Phase</p>
<p>In the TDWI webinar, which was sponsored by ParAccel, Merkle`s Chief Technology<br />
Officer (CTO) Christian Wright detailed how Merkle, one of the nation`s largest<br />
and fastest-growing database marketing agencies, has reduced processing times by<br />
approximately 200 percent in the first phase of its next-generation consumer<br />
data integration platform implementation by using the column-based ParAccel<br />
Analytic Database. Merkle is using the ParAccel Analytic Database as part of an<br />
upgraded consumer data integration platform for its clients` business to<br />
consumer (b2c) database marketing systems. The platform is expected to grow to<br />
tens of terabytes over multiple implementation phases.</p>
<p>Wright, who led Merkle`s evaluation of four columnar database vendors which<br />
involved three measured multi-terabyte proofs-of-concept, agreed that columnar<br />
databases are &#8220;well suited&#8221; for computing environments such as Merkle`s massive<br />
consumer repositories. &#8220;Columnar works extremely well with redundant data,<br />
provides compelling data compression capabilities and helps reduce I/O demand<br />
further due to its selective data access,&#8221; Wright said. &#8220;In addition, the fact<br />
that the ParAccel Analytic Database runs in an MPP architecture ensures that<br />
this platform, which is the foundation of our business, will scale at a nearly<br />
linear rate, allowing for predictable system growth.&#8221;</p>
<p>&#8220;It is clear why companies are adopting powerful columnar database technology<br />
such as the ParAccel Analytic Database. Our survey research aligns with TDWI<br />
findings and indicates that more than 50 percent of companies have significant<br />
performance and scalability issues with their data warehousing and business<br />
intelligence applications,&#8221; added ParAccel Vice President of Marketing Kim<br />
Stanick. &#8220;ParAccel`s unique MPP-Columnar DBMS solves these problems by<br />
delivering amazing load-and-go performance and scalability at a fraction of the<br />
cost of traditional products, all while running on a customer`s favorite brand<br />
of standard hardware.&#8221;</p>
<p>Webinar Replay Available</p>
<p>The TDWI webinar, &#8220;Columnar Databases &#8211; Designed for Data Warehouse High<br />
Performance,&#8221; featuring TDWI`s Russom and Merkle`s Wright, is available for<br />
replay at http://www.tdwi.org/display.aspx?id=9064.</p>
<p>About TDWI</p>
<p>TDWI, a division of 1105 Media, Inc., is the premier provider of in-depth,<br />
high-quality education and research in the business intelligence and data<br />
warehousing industry. Starting in 1995 with a single conference, TDWI is now a<br />
comprehensive resource for industry information and professional development<br />
opportunities. TDWI sponsors and promotes quarterly World Conferences, regional<br />
seminars, onsite courses, a worldwide Membership program, business intelligence<br />
certification, resourceful publications, industry news, an in-depth research<br />
program, and a comprehensive Web site: www.tdwi.org.</p>
<p>About ParAccel</p>
<p>ParAccel, Inc. is the proven leader in scalable analytic performance and<br />
price-performance. The ParAccel Analytic Database is a new generation,<br />
MPP-Columnar DBMS that is delivering breakthrough performance in customer<br />
environments. Available as a virtual or packaged appliance on standard hardware<br />
from all major vendors, it can be implemented stand-alone, or as a drop-in<br />
accelerator to extend an existing SQL Server or Oracle investment. ParAccel`s<br />
management team includes technical founders and industry veterans from noted<br />
data management companies Netezza, Oracle, Teradata, Gupta, SenSage, PointBase,<br />
and IBM. ParAccel is headquartered in San Diego, CA. For more information,<br />
please contact us at info@paraccel.com or 866-903-0335, or visit us at</p>
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