Spark for ML and PySpark

Apache Spark is a fast and general engine for large-scale data processing. It is 100x faster than Hadoop MapReduce in memory and 10x faster on disk. Apache Spark is designed to write applications quickly in Java, Scala or Python. You can use it interactively from the Scala and Python shells. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN. Access data in HDFS, Cassandra, HBase, Hive, and any Hadoop data source.

In this PySpark training course, we will teach you everything you need to know about the Spark Python API. This course is designed for users that already have a basic working knowledge of Python.