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Course
- Cloud
- Data
Manage Data with Azure Databricks and Azure Data Lake
Learn to securely integrate and manage data with Azure Databricks and ADLS Gen2. This course will teach you how to build scalable, governed data pipelines and share data across teams and organizations.
What you'll learn
Modern data platforms often struggle with security, scalability, and governance when integrating cloud analytics tools and storage solutions.
In this course, Manage Data with Azure Databricks and Azure Data Lake, you’ll gain the ability to securely build, manage, and govern data pipelines using Azure Databricks and Azure Data Lake Storage (ADLS) Gen2.
First, you’ll explore how to integrate Azure Databricks with ADLS Gen2 and configure secure access using managed identities and Key Vault.
Next, you’ll discover how to ingest, transform, and optimize data using PySpark, Delta Lake, and Databricks Auto Loader.
Finally, you’ll learn how to implement centralized governance with Unity Catalog and securely share data across organizations using Delta Sharing.
When you’re finished with this course, you’ll have the skills and knowledge of Azure Databricks and ADLS Gen2 needed to build secure, scalable, and governed data solutions in the cloud.
Table of contents
About the author
Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.
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