DP-3011: Implementing a Data Analytics Solution with Azure Databricks DP-3011

This course explores how data professionals can prepare and analyze data with Azure Databricks using Apache Spark's distributed computing capabilities. Students learn to manage data quality and versioning with Delta Lake, build automated pipelines using Delta Live Tables, and implement governance through Unity Catalog. The course demonstrates workflow orchestration for production deployments and collaborative development using Python and SQL notebooks for serving prepared data at scale.

Difficulty Level: Intermediate

Product: Azure

Role: Data Analyst

DP-3011: Implementing a Data Analytics Solution with Azure Databricks DP-3011

Virtual Instructor Led Online Schedule

Duration

1 Days

Price

$995.00

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Course Outline Schedule

Course Outline

This course is intended for data analysts who want to leverage Azure Databricks for advanced data analysis and preparation workflows. This content is targeted at analysts who need to work with large datasets using distributed computing, collaborate in notebook environments, and understand modern data lakehouse technologies to deliver insights and prepared data for analytics consumers.

Explore Azure Databricks
Perform data analysis with Azure Databricks
Use Apache Spark in Azure Databricks
Manage data with Delta Lake
Build Lakeflow Declarative Pipelines
Deploy workloads with Lakeflow Jobs

This green checkmark in the Upcoming Schedule below indicates that this session is Guaranteed to Run.

Virtual Instructor Led Online Schedule

Duration

1 Days

Price

$995.00