How to Start with Microsoft Azure Data Explorer

Focused View

Xavier Morera

4:06:07

12 View

01 - Course Overview

01 - Course Overview.mp4

02:03

02 - Getting Started with Azure Data Explorer - Overview and Architecture

02 - What Is Azure Data Explorer and Why Should I Use It.mp4

08:41

03 - ADX Key Characteristics and Use Cases.mp4

04:11

04 - ADX Architecture, Components, and Scalability.mp4

04:24

05 - ADX Security.mp4

03:57

06 - An Azure Data Explorer Demo.mp4

05:50

07 - Takeaway.mp4

02:21

03 - Understanding and Creating Azure Data Explorer Infrastructure

08 - Understanding and Creating Azure Data Explorer Infrastructure.mp4

01:31

09 - ADX Cost - Selecting the SKU for Your Use Case.mp4

05:09

10 - Creating a Cluster.mp4

10:20

11 - Managing Cluster Scaling.mp4

05:27

12 - Creating a Database.mp4

04:09

13 - Managing Database Permissions.mp4

04:30

14 - The Azure Data Explorer Web UI.mp4

02:45

15 - Takeaway.mp4

01:16

04 - Ingesting Data in Azure Data Explorer

16 - Ingesting Data in Azure Explorer.mp4

06:35

17 - Ingesting Sample Data.mp4

04:25

18 - Loading Data Using One-click Ingestion.mp4

05:01

19 - Ingesting Data from a Folder or Blob Container with LightIngest.mp4

07:28

20 - Data Ingestion with Azure Data Factory.mp4

07:53

21 - Ingesting Data from Event Hubs.mp4

07:28

22 - Ingesting Blobs by Subscribing to Event Grid Notifications.mp4

05:38

23 - Ingesting Data Using the .NET Standard SDK.mp4

05:26

24 - Ingesting Data Using the Python SDK.mp4

04:13

25 - Ingesting JSON Formatted Data.mp4

02:18

26 - Takeaway.mp4

00:43

05 - Querying Data in Azure Data Explorer

27 - Querying Data in Azure Data Explorer.mp4

02:41

28 - Getting to Know the Kusto Query Language (KQL).mp4

06:23

29 - Querying Azure Data Explorer, the Help Cluster, and the Sample Database.mp4

01:32

30 - Getting Started with Kusto Control Commands.mp4

07:12

31 - The Basics of KQL - Most Commonly Used Operators.mp4

13:43

32 - More KQL Operators.mp4

05:56

33 - Advanced KQL.mp4

05:29

34 - Querying External Tables.mp4

03:55

35 - Querying Data in Azure Monitor and Using the Flow Kusto Connector.mp4

01:53

36 - Exporting Data.mp4

03:23

37 - Takeaway.mp4

01:39

06 - Visualizing Data in Azure Data Explorer

38 - Visualizing Data in Azure Data Explorer.mp4

03:27

39 - Visualizing the Results of a Query with the Render Operator.mp4

04:29

40 - Data Visualization Using the Azure Data Explorer Dashboard.mp4

09:16

41 - Visualizing Data Using Power BI.mp4

06:10

42 - Visualizing Data in Grafana.mp4

03:30

43 - Visualizing Data in Redash.mp4

02:58

44 - Visualizing Data in Kibana with the K2Bridge Open-source Connector.mp4

08:11

45 - Visualizing Data in Tableau with the ODBC Connector.mp4

04:00

46 - Visualizing Data in Sisense with the JDBC Connector.mp4

03:40

47 - Takeaway.mp4

01:10

07 - Monitoring in Azure Data Explorer

48 - Monitoring in Azure Data Explorer.mp4

00:53

49 - Using Metrics to Monitor Cluster Health.mp4

07:30

50 - Adding Diagnostic Logs to Monitor Ingestion.mp4

02:31

51 - Use Resource Health to Monitor Cluster Health.mp4

00:53

52 - Troubleshooting.mp4

02:55

53 - Takeaway.mp4

01:42

08 - Final Takeaway

54 - Final Takeaway.mp4

05:24

Description

Learn how to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer, Microsoft's interactive Big Data analytics platform.

What You'll Learn?

Data gives you insights, helps you predict trends and discover anomalies, and gives you a competitive advantage. In this course, How to Start with Microsoft Azure Data Explorer, you'll learn the foundational knowledge needed to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer.

First, you'll understand the architecture of Data Explorer. Next, you'll learn how create and scale infrastructure, ingest data, and query using the Kusto Query Language, also known as KQL. Finally, you'll learn how to visualize data from within ADX or integrating with a third-party product like Power BI, Grafana, Redash, Tableau, Sisense, and any other platform that uses ODBC and JDBC.

When you're finished with this course, you'll have the skills and knowledge required to analyze all kinds of data, including log and telemetry data, using Azure Data Explorer - Microsoft's interactive Big Data platform.

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Microsoft Azure

Xavier Morera

Instructor's Courses

Xavier is very passionate about teaching, helping others understand search and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP. He has spent a great deal of his career working on cutting-edge projects with a primary focus on .NET, Solr, and Hadoop among a few other interesting technologies. Throughout multiple projects, he has acquired skills to deal with complex enterprise software solutions, working with companies that range from startups to Microsoft. Xavier also worked as a worldwide v-trainer/evangelist for Microsoft.

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.