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 Kurser fundet
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 02 marts, 2026 | 9:00 AM to 5:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 13 april, 2026 | 10:30 AM to 6:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 30 juni, 2026 | 9:00 AM to 5:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 10 august, 2026 | 10:30 AM to 6:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 16 november, 2026 | 9:00 AM to 5:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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- Leveringsmetode Åbent kursus (Virtuelt)
- Dato 01 december, 2026 | 10:30 AM to 6:00 PM
- Lokation Virtual (W. Europe )
- Sprog: engelsk
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