Data Engineering on Microsoft Azure: Databrick Processing
Azure 2021
| Intermediate
- 11 Videos | 1h 49m 12s
- 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 that provides functionality processing data from Azure Storage. In this course, you will learn about the types of processing that can be performed with Azure Databricks such as stream, batch, image and parallel processing. Next, you'll learn how to create an Azure Databricks workspace using an Apache Spark cluster, run jobs in the Azure Databricks Workspace jobs using a service principal and query data in SQL server using an Azure Databricks notebook. Next, you'll learn how to retrieve data from an Azure Blob Storage using Azure Databricks and the Azure Key Vault, implement a Cosmos DB service endpoint for Azure Databricks, and extract, transform, and load data using Azure Databricks. Finally, you'll learn how to stream data into Azure Databricks by using Event Hubs and perform sentiment analysis for steam data by making use of Azure Databricks. 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 types of available processing when using Azure Databricks such as stream, batch, image and parallel processingcreate an Azure Databricks workspace using an Apache Spark clusterrun jobs in the Azure Databricks Workspace jobs using a service principalquery data in SQL server using an Azure Databricks notebookvalidate and handle failed batch loads
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implement a Cosmos DB service endpoint for Azure Databricksextract, transform, and load data using Azure Databricksperform sentiment analysis for steam data by making use of Azure Databricksdebug Spark Jobs running on HDInsightsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 7sUP NEXT
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2.Azure Databricks Processing8m 9s
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3.Creating an Azure Databricks Workspace5m 58s
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4.Running Azure Databricks Workspace Jobs21m 8s
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5.Querying SQL Server12m 25s
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6.Failed Batch Loads4m 40s
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7.Implementing Cosmos DB Endpoints17m 59s
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8.Extracting, Transforming, and Loading Data10m 31s
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9.Performing Sentiment Analysis17m 10s
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10.Debugging Spark Job8m 11s
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11.Course Summary54s
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