Hadoop 2011's biggest big data source

Hadoop 2011's biggest big data source

Summary: Over 15,000 big data connectors were downloaded in 2011, according to a new report published this week by business intelligence software provider Jaspersoft.

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Over 15,000 big data connectors were downloaded in 2011, according to a new report published this week by business intelligence software provider Jaspersoft.

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(Credit: Jaspersoft)

Touted as the first business intelligence big data index, the report ranks connector downloads for leading databases and data sources including Hadoop Hive, Hadoop HBase, MongoDB, Cassandra and other popular frameworks used to manage big data sets.

Karl Van den Bergh, vice president of the Products and Alliances unit at Jaspersoft, explained in the report that big data sources such as Hadoop or MongoDB offer significant business advantages:

By tracking the Big Data Index, we see three popular approaches to access Big Data environments in business intelligence. These include reporting and analysis through direct connectivity, direct batch-style reporting, and extracting data through batch ETL to a central warehouse or database.

Companies want options for Big Data analytics because every use case is different. Some want direct and immediate answers from their Big Data sources throughout the day, while others want a more traditional approach with periodic reports.

Based on the report and the side chart, it looks as though document-oriented NoSQL database MongoDB might be seeing the most traffic (and success) at the moment as it achieved over 200 per cent growth in 2011.

However, Hadoop was dubbed as the most popular big data source between January 2011 and January 2012.

Hadoop Hive, the SQL interface to Hadoop MapReduce, represented 60 per cent of all Hadoop-based connectors, while Hadoop HBase was the second most popular Hadoop-based connector.

Via ZDNet

Topics: Data Management, Big Data, Microsoft

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  • One tool that enterprises have turned to to help with this is Hadoop, an open source framework for the distributed processing of large amounts of data.
    Manasy