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Data analysis in Azure Data Explorer with Kusto Query Language 

  • Offered byMicrosoft

Data analysis in Azure Data Explorer with Kusto Query Language
 at 
Microsoft 
Overview

Duration

3 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

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Credential

Certificate

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Data analysis in Azure Data Explorer with Kusto Query Language
 at 
Microsoft 
Course details

What are the course deliverables?
  • Introduction to Azure Data Explorer
  • Write your first query with Kusto Query Language
  • Gain insights from your data by using Kusto Query Language
  • Multi-table queries using Kusto Query Language
  • Characterize an unfamiliar dataset with Azure Data Explorer
  • Create dashboards in Azure Data Explorer
More about this course
  • In this learning path, students will learn how to analyze data in Azure Data Explorer using the Kusto Query Language
  • Learn to describe the ingestion, query, visualization, and data management features that Azure Data Explorer provides to help you make sense of the data flowing into your business
  • Get started by writing simple queries in Kusto Query Language (KQL) to explore and gain insights from your data
  • Use queries to visualize data trends, and then share these queries and results with others

Data analysis in Azure Data Explorer with Kusto Query Language
 at 
Microsoft 
Curriculum

Introduction to Azure Data Explorer

Introduction

What is Azure Data Explorer?

How Azure Data Explorer works

When to use Azure Data Explorer

Knowledge check

Summary

Write your first query with Kusto Query Language

Introduction

Understand the basic structure of a Kusto query

Exercise - Connect to resources

Exercise - Return a specific number of rows by using the take operator

Exercise - Select columns to return by using the project operator

Exercise - Filter data by using the where operator

Exercise - Reorder returned data by using the sort operator

Challenge

Solution

Knowledge check

Summary

Gain insights from your data by using Kusto Query Language

Introduction

Group data using aggregate functions

Exercise - Connect to resources

Exercise - Count events using the count function

Exercise - Visualize data with the render operator

Exercise - Summarize data using aggregate functions

Exercise - Introduce variables using the let statement

Challenge

Solution

Knowledge check

Summary

Multi-table queries using Kusto Query Language

Introduction

Combine and optimize data

Exercise - Connect to resources

Exercise - Combine table results using the join operator

Exercise - Combine table results using the lookup operator

Exercise - Combine table results using the union operator

Exercise - Optimize queries by using the materialize function

Knowledge check

Summary

Characterize an unfamiliar dataset with Azure Data Explorer

Introduction

Exercise: Connect to resources

Characterize data with Azure Data Explorer

Exercise: Take a first look at your data

Explore the data structure using queries

Exercise: Use queries to explore your data

Exercise: Use queries to explore trends

Exercise: Share queries with others

Knowledge check

Summary

Create dashboards in Azure Data Explorer

Introduction

Exercise: Connect to resources

Dashboards in Azure Data Explorer

Exercise: Create a dashboard from a query

Exercise: Add a new tile

Dashboard parameters

Exercise: Create a dashboard parameter

Exercise: Create a cross-filter

Share dashboards

Knowledge check

Summary

Data analysis in Azure Data Explorer with Kusto Query Language
 at 
Microsoft 
Entry Requirements

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Data analysis in Azure Data Explorer with Kusto Query Language
 at 
Microsoft 
Admission Process

    Important Dates

    Nov 30, 2024
    Course Commencement Date

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    Data analysis in Azure Data Explorer with Kusto Query Language
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