Learn Apache Spark's key concepts using real-world examples. This course goes over everything you need to know to get started using Spark. We start with resilient distributed data-sets and the main transformations and actions that can be performed on them. Then we move on to Advanced Spark concepts such as Partitioning and Persistence. Finally the course ends with Spark's SQL API which includes two data abstractions called Dataframes and Datasets which sit on top of Spark RDD's. They allow for new levels of optimization and SQL querying capabilities.
- Familiar with Ubuntu
- Familiar with Scala