Implement a Data Analytics Solution with Azure Databricks (DP-3011)
Implement a Data Analytics Solution with Azure Databricks
This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production. You’ll learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark, while also building confidence in managing distributed data processing. Along the way, you’ll get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables. You’ll also dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality. The course then moves into orchestration, showing you how to automate and manage workloads with Lakeflow Jobs and pipelines. To round things out, you’ll explore governance and security capabilities such as Unity Catalog and Purview integration, ensuring you can work with data in a secure, well-managed, and production-ready environment.
6 courses found
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- Delivery Format: Virtual Learning
- Date 02 March, 2026 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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Guaranteed To Run
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- Delivery Format: Virtual Learning
- Date 13 April, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 30 June, 2026 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 10 August, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16 November, 2026 | 8:00 AM to 4:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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- Delivery Format: Virtual Learning
- Date 01 December, 2026 | 9:30 AM to 5:00 PM
- Location: Virtual (GMT Standa)
- Language: English
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