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Famous books for learning Apache Spark
- Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell
- Leverage Spark's powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib
- Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm
- Discover what Apache Spark does and how it fits into the Big Data landscape
- Deploy and run Spark locally or in the cloud
- Interact with Spark from the shell
- Make the most of the Spark Cluster Architecture
- Develop Spark applications with Scala and functional Python
- Program with the Spark API, including transformations and actions
- Discover practical recipes for distributed deep learning with Apache Spark
- Learn to use libraries such as Keras and TensorFlow
- Solve problems in order to train your deep learning models on Apache Spark