Databricks Certified Associate Developer - Apache Spark 3.0 using Azure (Complete Playlist)
15 videos • 21,398 views • by itversity Welcome to our definitive tutorial series on mastering Apache Spark 3.0 with Databricks, tailored specifically for those preparing for the Databricks Certified Associate Developer exam using Microsoft Azure. This playlist is your ultimate guide to understanding and applying the powerful features of Apache Spark and Databricks in real-world data processing scenarios. Start with the basics of setting up your Databricks environment on Azure, and gradually delve into more complex topics including creating and manipulating Spark DataFrames using Python, Pandas, and PySpark. Learn essential techniques such as selecting, renaming, filtering, dropping, and sorting columns within DataFrames, as well as advanced data operations like aggregations, joins, and partitioning. Each tutorial is designed to build on the previous one, ensuring a comprehensive learning curve. We also cover the manipulation of columns and integration of Spark SQL functions for enhanced data querying and analytics. Additionally, gain insights into Spark's architecture and learn how to optimize your applications with Adaptive Query Execution for improved performance. Whether you are a beginner looking to get started with big data technologies or an experienced developer eager to enhance your skills in Apache Spark and Databricks, this series offers valuable content to help you achieve your goals. By the end of this series, you'll be well-equipped to handle large-scale data with efficiency and confidence, making you a valuable asset in the data-driven world. Perfect for data scientists, software developers, and IT professionals, these tutorials not only prepare you for certification but also equip you with the knowledge to apply these skills in your projects or at your workplace. Dive into our tutorials and transform your understanding and capabilities in data processing with Apache Spark and Databricks!