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

4.58 (2518 reviews)

Udemy

platform

English

language

Data Science

What you will 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

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Comidoc Review

Our Verdict

The Apache Spark 3 - Databricks Certified Associate Developer course on Udemy is an excellent starting point for those interested in mastering Spark's fundamentals using Scala. This comprehensive course not only provides a strong foundation but also aligns well with the certification exam and real-world applications, making it a valuable resource for aspiring data professionals. Although there are areas to improve, such as accuracy in subtitles and course resources, the overall strengths far outweigh these weaknesses.

What We Liked

Comprehensive coverage of Apache Spark 3 fundamentals with Scala, helping build a solid foundation for Spark applications
Real-world focused course structure, aligned with Databricks Community Edition, O'Reilly Learning Spark 3.0, and the certification exam
Instructor known for clarity in explanations, making it easy to understand and translate concepts to Python if needed
well-designed quizzes that reinforce understanding of key concepts
Availability of example notebooks with clear examples

Potential Drawbacks

Subtitles may not always accurately reflect instructor's speech, potentially causing confusion for some students
Typographical errors and imprecise instructions in exercises can increase video length unnecessarily
Limited resources within the course, instructors are encouraged to include more links to external documents when referenced
Occasional mismatches between provided answers and actual solutions for assessment tests that need to be reviewed
Lack of guidance on creating projects in Databricks and running jar files within the environment