Databricks Certified Associate Developer - Apache Spark

A Step by Step Hands-on Guide to prepare for Databricks Certified Associate Developer for Apache Spark using Pyspark

4.25 (1757 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

Databricks Certified Associate Developer for Apache Spark exam details

Setting up Databricks Platform for practice to also to prepare for Databricks Certified Associate Developer for Apache Spark Exam

Selecting, renaming and manipulating columns using Spark Data Frame APIs

Filtering, dropping, sorting, and aggregating rows using Spark Data Frame APIs

Joining, reading, writing and partitioning DataFrames using Spark Data Frame APIs

Working with UDFs and Spark SQL functions using Spark Data Frame APIs

Spark Architecture and Adaptive Query Execution (AQE)

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

The Databricks Certified Associate Developer - Apache Spark course by Durga Sir offers a solid foundation for students preparing for the associate developer certification exam. While there is room for improvement to address issues like repetitiveness and expansion of certain key sections, the well-structured content with hands-on example sessions prove valuable for learners. Sprinkling in further information on Spark Architecture and UDF functions will solidify its position as an ideal course for aspiring professionals targeting this Databricks certification.

What We Liked

Comprehensive coverage of certification topics, making it easy to prepare for the Databricks Associate Developer for Apache Spark exam
Multiple scenarios-based questions that help with understanding and retention of concepts
Code sharing and hands-on examples offered in each module, allowing students to grasp Apache Spark functionalities effectively
Well-organized content aligning with the certification requirements

Potential Drawbacks

The course duration is relatively lengthy and contains repetitive information that may bore learners and test their patience.
Lecture delivery could be slower to help learners absorb technical concepts more effectively
Spark Architecture section needs amendments and expansion, covering aspects like cluster mode, data plane, garbage collections etc.
Practical lessons on UDF (User Defined Functions) can be extended, as it's crucial for testing one's coding knowledge in the certification examination