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Perfecting the Data Warehouse

October 4, 2011

Hammer onby Angela Guess

A recent article underscores the value of having high-quality warehouse management and analytics software. The article begins, “Hardly anyone these days disputes the need for data warehousing as a means to preserve institutional knowledge. Big Data, however, begets Big Data management headaches, so the quality of your warehouse management and analytics software often spells the difference between a highly valuable repository and a data dumping ground. The primary goal of the warehouse is to preserve data value. It’s not enough to simply compile and analyze massive quantities of information, you need to condition your data to make it usable for a wide variety of applications and architectures.”

It continues, “This idea of data value is driving a cottage industry in warehouse specialty software. Firms like Teradata have pretty much nailed down the major warehousing platform space, so smaller firms are looking to work out many of Big Data management’s nettlesome details.”

The article adds, “Attunity Ltd., for example, recently expanded its warehousing and change data capture (DCD) portfolio to reflect the rapidly changing nature of data environments. The package is aimed at capturing large transaction data sets from multiple sources, and loading them into the Teradata environment while minimizing the performance impact on source systems like Oracle, SQL Server and DB2. The company has also added a new high-performance replication engine for the Teradata Parallel Transporter (TPT) that helps minimize licensing costs.”

Read more here.

Creative Commons License photo credit: seljes

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