MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 99 Lessons ( 15h 13m ) | Size: 3.96 GB
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.
Join me for an easy to understand and engaging look into Spark and take your big data career to the next level!
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