Microsoft Azure Databricks for Data Engineering Free Course

Microsoft Azure Databricks for Data Engineering

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What Will You Learn?

You will learn how to build a real-world data project using Azure Databricks and Spark Core. You will learn how to transform and analyze data using Spark SQL in Azure Databricks You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks You will acquire professional-level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2, and Azure Data Factory (ADF)

About This Course

About This Course
Provider: Udemy
Format: Online
Duration: 1hr 20min to complete [Approx]
Target Audience: Intermediate
Learning Objectives: After Completing this free course you will learn how the Azure Databricks platform runs large data engineering workloads in the cloud
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Maruti Makwana
Key Topics: you will learn how Azure Databricks supports day-to-day data-handling functions, such as reads, writes, and queries. 
Topic Covered: 
- Introduction of the course
- Understanding Azure Databricks
- Spark Basics
- Azure Databricks Workspace
- Running Notebooks with Spark Transformation
- Accessing BLOB Data in ADB Notebooks
- Sample Notebooks
- 6 Integrating ADF with ADB Notebooks using Job Clusters
- Azure Databricks Roadmap

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