Florian Roscheck - Apache Spark Certification Training

A premium PySpark course to prepare you for becoming a Databricks Certified Associate Developer

Apache Spark is a core data skill – here is how to show you got it!​

Learn Apache Spark from the ground up and show off your knowledge with the Databricks Associate Developer for Apache Spark certification. This course will transform you into a PySpark professional and get you ready to pass the popular Databricks Spark certification.

What will you learn?​

The goal of this course is to teach you fundamental PySpark skills and prepare you to get certified with the Databricks Certified Associate Developer for Apache Spark certification.

The course includes 18 modules to help you understand how Apache Spark works internally and how to use it in practice. You can find all topics covered below, but here is an overview:

• Become a seasoned expert at coding with Spark DataFrames
• Get confident with the Databricks certification exam content
• Discover Spark's distributed, fault-tolerant data processing
• Master how to work with Spark in Databricks
• Understand the Spark cluster architecture
• Learn when and how Spark evaluates code
• Grasp Spark's efficient memory management mechanisms
• Analyze typical Spark problems like out-of-memory errors
• See how Spark executes complex operations like joins
• Become proficient in navigating through the Spark UI
• ...and many more topics – check out the full list below!

Who is this for?​

Anyone with basic Python skills who wants to develop their big data processing skills! And anyone who would like to pass the popular Databricks Certified Associate Developer for Apache Spark certification using PySpark.

If you want to learn how to use Apache Spark with the Scala programming language, this course isn't a fit. We focus on Python and PySpark exclusively, but the fundamental Spark concepts taught are applicable to both languages.

• Data analysts and developers who want to add verified big data skills and Databricks experience to their portfolio
• Data engineers who want or need a proof of their Apache Spark skills via a certification to boost their career
• Data scientists wanting to work efficiently and frustration-free with large data sets in Apache Spark
• Companies who want to enable their data staff to use Apache Spark in a professional, time- and cost-efficient way
• Anyone wanting to brush up their Apache Spark skills with a solid understanding of how it works under the hood