English
资源说明：The success of Hadoop as a big data platform raised user expectations, both in terms of
solving different analytics challenges as well as reducing latency. Various tools evolved over
time, but when Apache Spark came, it provided one single runtime to address all these
challenges. It eliminated the need to combine multiple tools with their own challenges and
learning curves. By using memory for persistent storage besides compute, Apache Spark
eliminates the need to store intermedia data in disk and increases processing speed up to
100 times. It also provides a single runtime, which addresses various analytics needs such
as machine-learning and real-time streaming using various libraries.
This book covers the installation and configuration of Apache Spark and building solutions
using Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries.
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