Data Engineering on Microsoft Azure: Databricks
Azure 2021
| Intermediate
- 11 Videos | 1h 2m 55s
- Includes Assessment
- Earns a Badge
When working with big data, there needs to be a mechanism to process and transform this data quickly and efficiently. Azure Databricks is a service that provides the latest version of Apache Spark, which provides functionality for machine learning and data warehousing. In this course, you'll learn about the features of Azure Databricks such as clusters, notebooks, and jobs. Next, you'll learn about autoscaling local storage when configuring clusters. Next, you'll explore how to create, manage, and configure Azure Databricks clusters, as well as how to create, open, use, and delete notebooks. Finally, you'll learn how to create, open, use, and delete jobs. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe the features of Azure Databricksdescribe the features and concepts of Azure Databricks clusterscapture stream data using Event Hubdescribe notebooks and how they can be used with Azure Databrickscreate, open, use, and delete notebooks
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describe the features and concepts of Azure Databricks jobscreate, open, use, and delete Azure Databricks jobsdescribe the concept of autoscaling local storage when configuring clustersdescribe how to configure checkpoints and watermarking during stream processingsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 34sUP NEXT
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2.Azure Databricks5m 16s
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3.Azure Databricks Clusters8m 45s
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4.Capturing Stream Data Using Azure Event Hub10m 27s
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5.Azure Databricks Notebooks4m 13s
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6.Working with Azure Databricks Workbooks10m 16s
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7.Azure Databricks Jobs4m 45s
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8.Working with Azure Databricks Jobs6m 49s
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9.Azure Databricks Autoscaling4m 29s
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10.Azure Databricks Structured Streaming5m 42s
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11.Course Summary41s
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