Databricks and PySpark for Big Data: From Zero to Expert

About this course

If you are looking for a hands-on, complete and advanced course to learn Databricks and PySpark, you have come to the right place.Databricks is a data analytics platform powered by Apache Spark for data engineering, data science, and machine learning. Databricks has become one of the most important platforms to work with Spark, compatible with Azure, AWS and Google Cloud. This makes Databricks and Apache Spark some of the most in-demand skills for data engineers and data scientists, and some of the most valuable skills today. This course will teach you everything you need to know to position yourself in the Big Data job market.This course is designed to prepare you to learn everything related to Databricks and Apache Spark, from the Databricks environment, platform and functionalities, to Spark SQL API, Spark Dataframes, Spark Streaming, Machine Learning, advanced analytics and data visualization in Databricks.With a complete training, downloadable study guides, hands-on exercises, and real-world use cases, this is the only course you'll ever need to learn Databricks and Apache Spark. You will learn Databricks, starting from the basics to the most advanced functionalities. To do so, we will use visual  presentations, sharing clear explanations and useful professional advice.This course covers the following sections:Introduction to Big Data and Apache SparkSpark Fundamentals with Spark RDDs, DataframesDatabricks environmentAdvanced analytics and data visualization with DatabricksMachine Learning with Spark at DatabricksSpark Streaming at Databricks</

Course objectives

• to teach the fundamentals of Apache Spark and Databricks
• to provide hands-on experience through practical exercises
• to prepare students for careers in Big Data