Developers Target Hadoop Performance Lags in Quest for Real-Time Analytics

by   |   February 12, 2013 11:42 am   |   0 Comments

Hadoop promises a low-cost way to support developers building high-performance applications to analyze large datasets. But one of the biggest complaints about Hadoop is that it processes data in batches, treating information as if it were bursts of bits and bytes rather than a steady stream in need of constant crunching. The result is a combination of processing delays and delayed access to data that can impact an organization’s ability to gain real-time insight into its business processes.

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