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Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

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Product Details

Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0||Develop and deploy efficient, scalable real-time Spark solutions||Learn about Apache Spark and the Spark 2.0 architecture||Build and interact with Spark DataFrames using Spark SQL||Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively||Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0||Develop and deploy efficient, scalable real-time Spark solutions||Learn about Apache Spark and the Spark 2.0 architecture||Build and interact with Spark DataFrames using Spark SQL||Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively||Read, transform, and understand data and use it to train machine learning models||Build machine learning models with MLlib and ML||Learn how to submit your applications programmatically using spark-submit

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