Learn Spark skills from a data science perspective to build unified big data applications combining batch, streaming, and interactive analytics on your data.
Apache Spark is a powerful, open-source processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and sophisticated analytics. The Spark framework supports streaming data processing and complex iterative algorithms, enabling applications to run up to 100x faster than traditional Hadoop MapReduce programs. With Spark, you can write sophisticated applications to execute faster decisions and real-time actions to a wide variety of use cases, architectures, and industries.
This hands-on course explores using Spark for common data related activities from a data science perspective. You will learn to build unified big data applications combining batch, streaming, and interactive analytics on your data.