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Mastering Azure Databricks for Data Engineers
Mastering Azure Databricks for Data Engineers

Mastering Azure Databricks for Data Engineers: Learn Azure Databricks for professional data engineers using PySpark and Spark SQL

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$109.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Jun 2024 17hrs 31mins 1st Edition
Video
$109.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon ScholarNest
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$109.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Jun 2024 17hrs 31mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Step-by-step guide to setting up and navigating the Azure Databricks platform
  • Detailed lessons on working with Spark clusters, notebooks, and DBFS
  • Real-world capstone project to apply your skills in a practical scenario

Description

Embark on a transformative journey through the Azure Databricks platform with this expertly crafted course. We start by laying a solid foundation, guiding you through the course prerequisites and familiarizing you with the resources at your disposal. Our introduction section covers the essentials of data engineering and how Apache Spark integrates with Databricks, setting the stage for a deep dive into the platform. As you progress, you’ll create an Azure cloud account and Databricks workspace, gaining insights into the platform's architecture. Hands-on sessions will enable you to create Spark clusters, work with Databricks notebooks, and utilize magic commands and utilities effectively. We then delve into the Databricks File System (DBFS), teaching you how to manage and mount data storage efficiently. The course further explores Unity Catalog for secure data management, Delta Lake for robust data processing, and incremental ingestion tools for real-time data handling. You'll also master Databricks Delta Live Tables (DLT), enhancing your skills in building scalable data pipelines. Our final sections cover automation features, including working with Databricks Repos, Workflows, REST API, and CLI, ensuring you can automate and streamline your data projects.

Who is this book for?

This course is designed for data engineers, data scientists, and IT professionals looking to enhance their skills in data processing and management using Azure Databricks. Prerequisites include basic knowledge of cloud computing, data engineering concepts, and familiarity with Python or SQL.

What you will learn

  • Create and manage Databricks workspaces and Spark clusters
  • Utilize Databricks notebooks and magic commands for efficient data processing
  • Implement secure data management with Unity Catalog
  • Perform advanced data operations with Delta Lake and Delta Tables
  • Automate data workflows using Databricks Repos, Workflows, REST API, and CLI
  • Execute a comprehensive data engineering project from start to finish

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 25, 2024
Length: 17hrs 31mins
Edition : 1st
Language : English
ISBN-13 : 9781836200437
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Product Details

Publication date : Jun 25, 2024
Length: 17hrs 31mins
Edition : 1st
Language : English
ISBN-13 : 9781836200437
Category :
Languages :
Tools :

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Table of Contents

12 Chapters
Before you start Chevron down icon Chevron up icon
Introduction Chevron down icon Chevron up icon
Getting Started Chevron down icon Chevron up icon
Working in Databricks Workspace Chevron down icon Chevron up icon
Working with Databricks File System - DBFS Chevron down icon Chevron up icon
Working with Unity Catalog Chevron down icon Chevron up icon
Working with Delta Lake and Delta Tables Chevron down icon Chevron up icon
Working with Databricks Incremental Ingestion Tools Chevron down icon Chevron up icon
Working with Databricks Delta Live Tables (DLT) Chevron down icon Chevron up icon
Databricks Project and Automation Features Chevron down icon Chevron up icon
Capstone Project Chevron down icon Chevron up icon
Final Word Chevron down icon Chevron up icon

Customer reviews

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Kai Jul 09, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Thank you so much. This piece of information clarified many process related questions for me. Material aldo gave me solid base to build on. Much appreciated.
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