Using pipelines in Azure Data Factory to run notebooks in Azure Databricks enables you to automate data engineering processes at cloud scale.

Learn how HBase provides random access and strong consistency for large amounts of unstructured and semi structured data in a schema less database organized by column families.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

If you always find yourself encountering pre-filled Excel workbooks, the skill to search and manipulate data within them is crucial. With topics like data validation and what-if analysis, teaching you those skills is what this course aims to achieve.

Learn how to approach and implement security to protect your data with Azure Synapse Analytics.

Azure Database for PostgreSQL includes comprehensive security features including encryption, authentication, and granting permissions to database users. In this module, you learn about the security features of Azure Database for PostgreSQL.

Security in Couchbase spans a variety of topics, and this course focuses on the most important ones - user authentication and authorization, auditing activities, redacting sensitive data, and encrypting communications.

Learn how you can set up security when using Azure Synapse serverless SQL pools

Learn about security and encryption in Azure Database for MySQL.

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK.

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow.

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance.