Engineers from across the Apache Hadoop community are collaborating to establish Arrow as a de-facto standard for columnar in-memory processing and interchange. Here's how it works. Apache Arrow is an in-memory data structure specification for use by engineers building data systems. It has several key benefits: A columnar memory-layout permitting O(1) random access. The layout is highly cache-efficient in analytics workloads and permits SIMD optimizations with modern processors. Developers can create very fast algorithms which process Arrow data structures. Read more The post Introducing Apache Arrow: A Fast, Interoperable In-Memory Columnar Data Structure Standard appeared first on Cloudera Engineering Blog.
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Data Science,General,HDFS,Impala,Kudu,Performance,data format,python
Data Science,General,HDFS,Impala,Kudu,Performance,data format,python
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