Flexible Data Architecture with Spark, Cassandra, and Impala
Flexible Data Architecture with Spark, Cassandra, and Impala September 30th, 2014 Overview An important aspect of a modern data architecture is the ability to use multiple execution frameworks over the same data. By using open data formats and storage engines, we gain the flexibility to use the right tool for the job, and position ourselves to exploit new technologies as they emerge. This article
In-Stream Big Data Processing
The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apa
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