Databricks Certified Associate Developer -Spark 3.0

Boost your chances of passing the Databricks Certified Associate Developer (DACD) exam with this comprehensive training course! This course is specifically designed to provide you with the practice you need to excel in the Apache Spark certification exam.

Get ready for hands-on learning with practice exercises on the go! This course is packed with writing practice that you can immediately execute on the Databricks Community Edition. You'll work through over 60 coding questions to solidify your understanding.

Dive into real-world data with datasets on real-time events. Learn to understand and apply the DataFrame APIs in Python using two practical datasets. We cover all the DataFrame APIs most commonly tested in the Databricks Certified Associate Developer exam, explained with clear sample code you can try out on the Databricks Community Edition.

Master key architecture modules – frequently featured in the Databricks Certified Associate Developer exam. Reinforce your learning with quizzes at the end of each module, ensuring you retain information effectively, on time, every time, and anytime! We use creative visualizations to explain Spark Architecture for better retention.

Here's what you'll gain from this course:

• Interactive Learning: Learn as you code with an interactive, "as you write on the go" approach.
• Creative Understanding: Develop a deeper grasp of architectural concepts through engaging, creative explanations.
• Extensive Practice: Benefit from over 120 minutes of practice code to hone your skills.
• In-Depth Video Lessons: Access over 200 minutes of video lessons for comprehensive coverage.

This course is your ready reckoner for all your learning needs for the Databricks Associate Developer Certification on Spark 3.0 in Python.

Key Topics Covered:

• SparkSession: Fundamentals of SparkSession.
• DataFrame Writer & Reader: Efficiently read and write data.
• Data Manipulation: Select, Filter, Where, Drop, DropDuplicates, SelectExpr, WithColumn, Take, First – master essential DataFrame operations.
• Data Aggregation & Sorting: Learn Aggregations, Sort, GroupBy, OrderBy techniques.
• Date & Time Handling: Work effectively with date and time data.
• User Defined Functions (UDFs): Utilize UDFs including Lambda for custom data transformations.
• Data Splitting & Manipulation: Explore Explode, Split functions.
• Data Caching & Persistence: Understand Persist, Cache, Unpersist for performance optimization.
• Architecture Concepts: Explore Modes of deployment including visual, Spark UI, Jobs, Stage, Tasks.
• Transformations: Understand wide and narrow transformations.
• Query Optimization: Learn about physical logical plans, AQE (Adaptive Query Execution), DPP (Dynamic Partitioning).
• Data Locality: Optimize performance through data locality strategies.

This course is designed to help you succeed in the Databricks Associate Developer Certification exam for Spark 3.0.

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Disclaimer: This course is created by Kanchana Selvakumar. This is not associated or affiliated with Databricks.