Cloudera, Hadapt Produce Advanced Hadoop Package

Hadapt, whose data analytics framework natively integrates Apache Hadoop with any relational database, joined forces on 10 May with Hadoop interface provider Cloudera to produce an advanced Big Data-type tool for enterprises.

The Hadoop batch-processing tool is a famously difficult to utilise without a user-friendly front end, which is what Cloudera and several other companies now provide. But to be able to add a relational database into the mix, another integrator is necessary; in this case, it is Hadapt.

Capitalising on Big Data

The combination of Hadapt’s Adaptive Analytical Platform with Cloudera Manager and Cloudera’s Distribution Including Apache Hadoop (CDH) enables IT shops to reliably store, process, and analyse big data on Hadoop, Hadapt chief executive Justin Borgman said.

“Organisations are looking to capitalise on the Big Data phenomenon and make business decisions via ‘multi-structured’ data analysis,” Borgman said. “Hadapt runs on top of the Hadoop market leader, Cloudera, to provide an integrated analytical offering that delivers greater insights.”

Hadapt connects relational tables to Hadoop Distributed File System (HDFS) files and uses a customised data loader to move data between the two. Another feature is that it enables SQL queries to be utilised in situations where they movefaster than slower, batch-mode MapReduce workloads. Speed in any part of this process is a high-value commodity.

Hadapt also has a query optimiser that can decide on the fly which is faster: MapReduce or Hadoop processing.

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