Datameer Analytics Solution

DAS 1.0 is the first Hadoop-based solution for big data that includes data source integration, storage, an analytics engine and visualization.

Datameer Analytics Solution Sets New Standard for Easy-to-Use Big Data Analytics

Oct 12, 2010. SAN MATEO, Calif. - (BUSINESS WIRE) - Datameer, Inc. (www.datameer.com) today announced general availability of Datameer Analytics Solution (DAS) 1.0, the first Hadoop-based solution for big data that includes data source integration, storage, an analytics engine and visualization.

Key highlights of the DAS 1.0 release include:

DAS connectors provide immediate access to all common data sources including relational databases such as Oracle, DB2, Microsoft SQL Server, and MySQL; file formats such as CSV, Fixed Length, JSON, Mbox, Apache Log Files; data streams such as Twitter; as well as HDFS and Hive.
DAS allows seamless design of the complete end-to-end data processing pipeline using a familiar interactive spreadsheet interface that requires no programming. DAS includes more than 175 built-in functions for exploring and discovering complex relationships.
AJAX-based dashboards facilitate interactive drag & drop reporting so that DAS users can quickly create their own personalized dashboards. Users simply select a widget, the information they want to view and how to display it - no assistance from IT is required.
DAS is based on JEE, the industry standard for enterprise Java computing. DAS enables flexible integration through Java standards such as JDBC and Web Services, and effective job monitoring through JMX.

A number of DAS customers are already realizing tremendous benefits from their deployments.

Dr. Sven Krasser, Senior Director of Data Mining Research at McAfee comments, "McAfee is pioneering threat intelligence on Hadoop, using Datameer tools to spot correlations among spam, malware, intrusion, and botnet computer security threats. DAS helps us to combine and correlate data from millions of sources participating in McAfee's Global Threat Intelligence network, enabling us to discover hidden patterns of abnormal behavior and proactively protect against new emerging threats. DAS bridges the gap between researchers and Hadoop by allowing them to easily run massively parallelized algorithms tapping into terabyte scale threat intelligence data."

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