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Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice Audiobook, by Derar Alhussein Play Audiobook Sample

Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice Audiobook

Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice Audiobook, by Derar Alhussein Play Audiobook Sample
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Read By: Ray Greenley Publisher: Ascent Audio Listen Time: at 1.0x Speed 5.67 hours at 1.5x Speed 4.25 hours at 2.0x Speed Release Date: September 2025 Format: Unabridged Audiobook ISBN: 9781663755872

Quick Stats About this Audiobook

Total Audiobook Chapters:

15

Longest Chapter Length:

48:53 minutes

Shortest Chapter Length:

13:23 minutes

Average Chapter Length:

33:58 minutes

Audiobooks by this Author:

1

Publisher Description

Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform.

In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests.

Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform.

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