Fundamentals of Spark SQL Application Development¶
Development of a Spark SQL application requires the following steps:
- Setting up Development Environment (IntelliJ IDEA, Scala and sbt)
- Specifying Library Dependencies
- Creating SparkSession
- Loading Data from Data Sources
- Processing Data Using Dataset API
- Saving Data to Persistent Storage
- Deploying Spark Application to Cluster (using
spark-submit
)
Last update: 2020-11-04