Quick Start - Spark 3.3.1 Documentation - Apache Spark
spark.apache.org › docs › latestThis tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide, first, download a packaged release of Spark from the Spark website. Since we won’t be using HDFS, you can download a package for any version of Hadoop.
Tutorial: Work with Apache Spark Scala DataFrames - Azure ...
learn.microsoft.com › dataframes-scalaOct 24, 2022 · Apache Spark DataFrames provide a rich set of functions (select columns, filter, join, aggregate) that allow you to solve common data analysis problems efficiently. Apache Spark DataFrames are an abstraction built on top of Resilient Distributed Datasets (RDDs). Spark DataFrames and Spark SQL use a unified planning and optimization engine, allowing you to get nearly identical performance across all supported languages on Azure Databricks (Python, SQL, Scala, and R).
Spark Tutorials With Scala - Supergloo
supergloo.com › spark-tutorial › spark-tutorials-scalaSpark provides developers and engineers with a Scala API. The Spark tutorials with Scala listed below cover the Scala Spark API within Spark Core, Clustering, Spark SQL, Streaming, Machine Learning MLLib and more. You may access the tutorials in any order you choose. The tutorials assume a general understanding of Spark and the Spark ecosystem regardless of the programming language such as Scala.