Databricks Data Engineer Associate: Practical Guide

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This course covers all essential Databricks concepts for aspiring data engineers, including Apache Spark fundamentals, Delta Lake, performance optimization, and data pipeline creation. With real-world demonstrations, you will gain practical experience in deploying and orchestrating data engineering workflows. This course is designed to equip you with the skills needed to become a certified Databricks Data Engineer Associate. Starting with an introduction to Databricks, you will explore its role in modern data engineering and its integration with Apache Spark. From understanding basic data processing operations to building powerful data pipelines, you’ll gain hands-on experience in Spark architecture and execution, Delta Lake for data management, and the use of Databricks’ advanced features like Unity Catalog for governance and Delta Live Tables for orchestration. You’ll dive deep into Spark fundamentals, learning about data transformations, actions, and lazy evaluation, followed by the performance optimization techniques essential for data-heavy applications. The course also covers crucial data warehousing concepts like OLAP and OLTP, along with Delta Lake’s ACID transactions and time travel for data management. Through practical demonstrations, you will learn how to sign up for Databricks, create and manage notebooks, ingest and transform data, and optimize performance using partitions and parallelism. The course culminates in a comprehensive capstone project that ties everything together, giving you the experience and knowledge to pass the Databricks Certified Data Engineer Associate exam and excel in data engineering tasks. This course is designed for aspiring data engineers, data scientists, and IT professionals who wish to build a strong foundation in Databricks and Apache Spark. It's ideal for individuals looking to gain hands-on experience in data engineering workflows, Spark execution, performance optimization, and Delta Lake for managing large-scale data. Familiarity with data engineering concepts or programming basics will be helpful, but the course is suitable for both beginners and those seeking certification. The course follows a project-based approach, where you work through practical demonstrations and real-world scenarios. Each section introduces essential concepts followed by hands-on tutorials to reinforce learning. By the end, you will have mastered the skills necessary to build and optimize data pipelines and perform key tasks required for the Databricks Certified Data Engineer Associate exam. This course is based on Databricks Certified Data Engineer Associate - Practical Guide, by Yogesh Raheja, Thinknyx Technologies. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

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