Apache Spark 3 - Databricks Certified Associate Developer training course

• Define Spark’s architectural components
• Describe how DataFrames are transformed, executed, and optimized in Spark
• Apply the DataFrame API to explore, preprocess, join, and ingest data in Spark
• Apply the Structured Streaming API to perform analysis on streaming data
• Use Delta Lake to improve the quality and performance of data pipelines
• prepare to take Databricks Certified Associate Developer for Apache Spark 3.0 Exam with Python (option requiring additional days)
• The course will cover the format and structure of the exam and the skills needed including covering Python programming.
• We will also give best practice advice and tips for passing the exam and give guided tutorials going through official practice examination questions.
• Prior to the training, we will arrange pre-course technical consultation to specify requirement and agree customised content as may be required.

"Good introduction to Apache Spark. The trainer was great at talking us through the information, specifically optimisation methods. He spoke slowly and concisely which really got his points across. He effectively tailored the course to our specifications which we also appreciated."

RL, Financial Crime Technologist, Apache Spark, April 2021

“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022