Building Batch Data Processing Solutions in Microsoft Azure

Focused View

Tim Warner

2:34:02

23 View

1 - Course Overview

01 - Course Overview.mp4

01:02

2 - Developing Batch Processing Solutions with Azure SQL Data Warehouse

02 - Overview.mp4

02:51

03 - Preliminary Terminology.mp4

07:05

04 - About Batch Processing.mp4

03:23

05 - Azure SQL DB vs. Azure SQL DW.mp4

03:39

06 - Demo - Create an Azure Data Lake Storage Gen2 Account.mp4

03:13

07 - Demo - Deploy Azure SQL Data Warehouse.mp4

04:13

08 - Understand Data Lake Storage Gen2.mp4

03:02

09 - PolyBase.mp4

01:08

10 - Demo - Use PolyBase in Azure SQL DW.mp4

07:10

11 - Data Analysis Options.mp4

01:31

12 - Azure Data Factory.mp4

01:07

13 - Demo - Perform ETL Operations with Azure Data Factory.mp4

11:50

14 - For Further Learning.mp4

00:34

15 - Summary.mp4

01:06

3 - Developing Batch Processing Solutions with Azure HDInsight

16 - Overview.mp4

00:43

17 - Introducing Apache Hadoop.mp4

03:53

18 - The Hadoop Ecosystem.mp4

03:17

19 - Hadoop vs. Traditional RDBMS.mp4

05:58

20 - Azure HDInsight Architecture.mp4

03:12

21 - Demo - Create an HDInsight Cluster.mp4

07:59

22 - Azure Data Factory HDInsight Integration.mp4

01:27

23 - Demo - Ingest a Dataset into Data Lake Storage.mp4

03:56

24 - Demo - Perform Data Extraction with Hive.mp4

04:37

25 - Demo - Perform Data Transformation with Hive.mp4

02:09

26 - Demo - Perform Data Loading with Sqoop.mp4

03:24

27 - About Apache Spark.mp4

01:06

28 - About Azure Databricks.mp4

02:18

29 - Demo - Perform Data Visualization with HDInsight and Spark.mp4

07:48

30 - For Further Learning.mp4

00:31

31 - Summary.mp4

01:37

4 - Developing Batch Processing Solutions with Azure Databricks

32 - Overview.mp4

01:33

33 - Understand Azure Databricks.mp4

02:26

34 - MapReduce vs. Spark.mp4

03:05

35 - The Azure Databricks Ecosystem.mp4

03:39

36 - The Notebook Paradigm in Data Analysis.mp4

03:08

37 - Demo - Deploy an Azure Databricks Service.mp4

04:57

38 - Demo - Define a Cluster and Workspace.mp4

04:14

39 - Demo - Perform ETL with Azure Databricks.mp4

08:29

40 - About Azure Event Hub.mp4

02:36

41 - Demo - Data Processing with Event Hub and Azure Databricks.mp4

07:06

42 - About Azure Batch.mp4

01:32

43 - Azure Distributed Data Engineering Toolkit.mp4

02:15

44 - For Further Learning.mp4

00:32

45 - Summary.mp4

01:41

Description

In this course, you will learn how to perform ETL and ELT batch data processing workflows by using Microsoft Azure products and partner technologies.

What You'll Learn?

How can you gain business insights from data lakes and data warehouses? How can you use Hadoop, Spark, and Databricks in Microsoft Azure? In this course, Building Batch Data Processing Solutions in Microsoft Azure, you will gain the ability to implement scalable, performant, and accurate batch processing in the Microsoft Azure cloud. First, you will learn how to run batch processing jobs in Azure SQL Data Warehouse. Next, you will discover how HDInsight enables cloud-hosted Hadoop clusters. Finally, you'll explore Apache Spark and Azure Databricks, and learn how to integrate them with other Azure products. When you are finished with this course, you will have the skills and knowledge of batch data processing needed to advance your career as a data engineer.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

Microsoft Azure

Cloud Computing

Tim Warner

Instructor's Courses

Timothy Warner is a Microsoft Most Valuable Professional (MVP) in Cloud and Datacenter Management who is based in Nashville, TN. His professional specialties include Microsoft Azure, cross-platform PowerShell, and all things Windows Server-related. You can reach Tim via Twitter (@TechTrainerTim), LinkedIn or his blog, AzureDepot.com.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.