Apache Spark 3 – Databricks Certified Associate Developer

Learn Apache Spark 3 With Scala & Earn the Databricks Associate Certification to prove your skills as data professional

Created by: Wadson Guimatsa
Data Engineer

What Will I Learn?

• How to prepare for the Databricks Certified Associate Developer For Apache Spark 3 Certification Exam
• The Architecture of an Apache Spark Application
• Learn how Apache Spark runs on a cluster of computer
• Learn the Execution Hierarchy of Apache Spark
• Create DataFrame from files and Scala Collections
• Spark DataFrame API and SQL functions
• Learn the different techniques to select the columns of a DataFrame
• How to define the schema of a DataFrame and set the data types of the columns
• Apply various methods to manipulate the columns of a DataFrame
• How to filter your DataFrame based on specifics rules
• Learn how to sort data in a specific order
• Learn how to sort rows of a DataFrame in a specific order
• How to arrange the rows of DataFrame as groups
• How to handle NULL Values in a DataFrame
• How to use JOIN or UNION to combine two data sets
• How you can save the result of complex data transformations to an external storage system
• The different deployment modes of an Apache Spark Application
• working with UDFs and Spark SQL functions
• How to use Databricks Community Edition to write Apache Spark Code

Requirements

• Basic Scala Knowledge
• Basic data skills
• NO Previous Spark Knowledge

Target audience

• Any Developer who wants to start using Apache Spark in their career
• Beginner Spark Developer seeking Big Data Certification
• Developer curious about Data Engineering and Data Science