learning path

Big Data Analytics on Azure

Follow hands-on examples to import data, run queries, and output the results using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Stream Analytics.

Difficulty: Intermediate

Duration: Up to 9 hours and 56 minutes

Students: 4,223

Rating: 5/5

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13 steps

There are 7 Courses in this learning path

There are 5 Hands-on Labs in this learning path

There is 1 Exam in this learning path

COURSE

Intermediate

Duration: 28 minutes and 2 seconds

Introduction to Azure Synapse Analytics

This lesson introduces Microsoft’s Azure Synapse Analytics, covering serverless SQL pools, dedicated SQL pools, Spark pools, and Synapse Pipelines.

HANDS-ON LAB

Intermediate

Duration: Up to 1 hour and 45 minutes

Using Azure Synapse Analytics to Query Data Lake

Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.

COURSE

Intermediate

Duration: 21 minutes and 41 seconds

Running Spark on Azure Databricks

In this lesson, we will show you how to set up a Databricks cluster and run interactive queries and Spark jobs on it.

COURSE

Advanced

Duration: 38 minutes and 32 seconds

Using Azure Data Lake Storage Gen2

In this lesson, you will follow hands-on examples to import data into Azure Data Lake Storage Gen2 and then securely access it and analyze it using Azure Databricks. You will also learn how to monitor and optimize your Azure Data Lake Storage Gen2.

HANDS-ON LAB

Beginner

Duration: Up to 1 hour

Using Azure Databricks to Import and Analyze Data

Learn to implement lightning-fast analytics by building an Azure Databricks workspace and cluster to interact with Azure Data Lake Store Gen2 data.

COURSE

Intermediate

Duration: 13 minutes and 6 seconds

Introduction to Delta Lake on Azure Databricks

This lesson provides an introduction to Delta Lake in Azure Databricks and shows you how to use it.

COURSE

Intermediate

Duration: 1 hour and 5 minutes

Designing Data Flows in Azure

In this Lesson, we're going to review the features, concepts, and requirements that are necessary for designing data flows and how to implement them in Microsoft Azure.

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