Data Engineering with Azure Databricks (English)
Description
In this single-day course you will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
As a Data Engineer or former DW specialist, you are familiar with the main Data Engineering processes and concepts. Now you want to extend your capabilities for Data Engineering and learn how to set up a Data Analytics solution in Databricks.
After completing this course, you will be able to:
- Explore Azure Databricks
- Spark in Azure Databricks
- Use Delta Lake in Azure Databricks
- Use SQL Warehouses in Azure Databricks
- Run Azure Databricks Notebooks with Azure Data Factory
Prerequisites
For this course there are no specific prerequisites. However, it is recommended that you have an understanding of Data Engineering concepts and processes.
Course outline
- Explore Azure Databricks
- Use Apache Spark in Azure Databricks
- Use Delta Lake in Azure Databricks
- Use SQL Warehouses in Azure Databricks
- Run Azure Databricks Notebooks with Azure Data Factory
Course material
In the course "Implementing a data analytics solution with Azure Databricks" (DP-3011) we use Microsoft Official Courseware. We will ensure that you receive this (digital) material at the start of the course.
Available dates
| Title | Date |
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| Data Engineering with Azure Databricks (English) (EN) day 1 | |
| Data Engineering with Azure Databricks (English) (EN) day 2 |
| Title | Date |
|---|---|
| Data Engineering with Databricks |
| Title | Date |
|---|---|
| Data Engineering with Azure Databricks (English) (EN) |
| Title | Date |
|---|---|
| Data Engineering with Databricks |
| Title | Date |
|---|---|
| Data Engineering with Azure Databricks (English) (EN) |
