Microsoft Azure Data Lake Storage Service (Gen1 and Gen2)
How to ingest, process, and export data in Azure Data Lake using Databricks and HDInsight
Created by Eshant Garg
Explore how to efficiently ingest, process, and export data in Azure Data Lake using real-world tools like Databricks and HDInsight. Gain hands-on experience with both Gen1 and Gen2 storage services, learning practical skills for managing big data in the cloud.
Packt | Feb 2022 | 373 min
What You Will Learn
You will work through practical demonstrations that show how to import, access, and analyze data in Azure Data Lake. Each topic is explained step by step, with clear examples that help you apply concepts directly to real-world scenarios. By practicing alongside the walkthroughs, you'll build confidence in using Azure's big data tools.
Key Features
- Ingest, process, and export data in Azure Data Lake using Databricks and HDInsight
- Monitor, optimize, and secure your Data Lake storage for better performance
- Understand data lifecycle, architecture, and security best practices in Azure
Target Audience
This content is ideal for data engineers, BI developers, database administrators, and analysts who already have a basic understanding of data warehousing or databases. If you want to deepen your skills in Azure's big data analytics services and learn how to manage data lakes efficiently, you'll find these hands-on exercises valuable for your professional growth.
