Hi @BasavaTest, Apache Spark™ is a powerful framework for large-scale distributed data processing and machine learning.
Here are some resources to help you get started:
Spark By {Examples}: This tutorial provides basic, simple examples of Spark using Scala code. You’ll learn about Spark features, advantages, architecture, RDDs, DataFrames, SQL, streaming, and more. The examples are tested in a development environment, making them ideal for beginners. You can find the tutorial here.
Databricks Certified Developer for Spark 3.0 Practice Exams: If you’re preparing for the Databricks Certified Developer for Apache Spark 3.0 exam, this Udemy course offers realistic practice questions in Python. It will boost your confidence and knowledge for the exam. Check it out here.
Getting Started with Apache Spark on Databricks: Databricks provides a self-paced guide for beginners. You’ll learn how to create Spark jobs, load data, work with data, and even explore machine learning algorithms and streaming data. Dive into the basics here.
Apache Spark Examples: The official Apache Spark website offers examples that give a quick overview of the Spark API. You’ll find examples related to distributed datasets, parallel operations, and RDDs. Explore them here.
Happy Sparking! 🚀🔥
