Implementing Azure DataBricks

In this learning path, you will learn the fundamentals of Azure DataBricks and as new courses are added to the path you will progressively learn more advanced topics.

5 (7)
2 Lectures
5 Labs
Beginner
11h 47m
Jul 8 2018
On-Demand Course
Jul 4 2018
54m

This training provides an overview of Azure Databricks and Spark. In this course you will learn where Azure Databricks fits in the big data landscape in Azure. Key features of Azure Databricks such as Workspaces and Notebooks will be covered. Students will also learn the basic architecture of Spark ...

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On-Demand Course
Apr 12 2019
5h 38m

In this course, you will explore the Spark Internals and Architecture. The course will start with a brief introduction to Scala. Using the Scala programming language, you will be introduced to the core functionalities and use cases of Apache Spark including Spark SQL, Spark Streaming, MLlib, and Gra...

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Real Time Lab
Oct 10 2019
Skill Me Up
1h

In this lab, you will provision how to provision a Databricks workspace, an Azure storage account, and a Spark cluster. You will then execute and manage a Spark Job.

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Real Time Lab
Oct 10 2019
Skill Me Up
1h

In this lab, you will provision how to provision a Databricks workspace, an Azure storage account, and a Spark cluster. You will then execute and manage a Spark Job.

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Real Time Lab
Oct 10 2019
Skill Me Up
1h 15m

In this lab, you will provision how to provision a Databricks workspace, an Azure storage account, and a Spark cluster. You will learn to use the Spark cluster to explore data using Spark Resilient Distributed Datasets (RDDs) and Spark Dataframes.

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Real Time Lab
Oct 10 2019
Skill Me Up
1h

Spark structured streaming enables you to use the dataframe API to read and process an unbounded stream of data. This kind of processing is used in real-time scenarios to aggregate data over temporal intervals or windows. You can use Spark to process streaming data from a wide range of sources, incl...

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Real Time Lab
Oct 10 2019
Skill Me Up
1h

Spark includes an API named Spark MLLib (often referred to as Spark ML), which you can use to create machine learning solutions. Machine learning is a technique in which you train a predictive model using a large volume of data so that when new data is submitted to the model it can predict unknown v...

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