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Getting started with Azure Data Explorer

Priya Jha

In this 1 hour long project-based course, you will learn to create an Azure Data Explorer or ADX cluster in the Azure portal. You will learn to create databases and tables and perform data ingestion using commands as well as using one click ingestion method. You will also learn to manage scaling in Azure Data Explorer and manage database permissions. You will conclude by learning how to query data in Azure Data Explorer using Kusto Query Language.

You should have an active azure account

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Emphasizes cloud-based data management and querying with Microsoft Azure and Kusto Query Language
Teaches data management and manipulation on a cloud platform
Instructs students on managing scaling and database permissions
Course requires an active Azure account, which may entail costs
Students must have some familiarity with cloud computing concepts

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Reviews summary

Foundational azure data explorer kickstart

According to students, this one-hour project-based course offers a highly practical introduction to Azure Data Explorer (ADX). Learners appreciate the clear and concise instruction, making it ideal for beginners aiming to quickly grasp core concepts. The course provides essential hands-on experience in creating an ADX cluster, performing data ingestion, managing permissions, and most importantly, querying data using Kusto Query Language (KQL) fundamentals. It's often highlighted as a quick and efficient way to get started, though an active Azure account is required for the practical exercises.
An active Azure account is crucial for completing hands-on labs.
"Make sure you have your Azure account ready; it's essential for the hands-on labs and exercises."
"Having an active Azure subscription is a must to complete the exercises effectively."
"I encountered some initial issues setting up my Azure account, so prepare that beforehand."
Focuses on 'getting started' and does not cover advanced topics.
"This course is purely for beginners; don't expect deep dives into advanced features or complex scenarios."
"I felt it was a good introduction but left me wanting more advanced ADX topics and optimization techniques."
"It's true to its title: 'getting started' – not intended for intermediate or expert users looking for comprehensive coverage."
Introduces basic Kusto Query Language for data exploration.
"I learned how to write simple KQL queries, which is a great start for my data analysis tasks."
"The KQL section was a good primer for anyone unfamiliar with the language's syntax and usage."
"It provides just enough KQL to get me started with querying my data in Azure Data Explorer."
Delivers key concepts effectively within a short timeframe.
"The one-hour format is efficient and covers the essentials without any fluff."
"It's a quick way to learn the fundamentals of Azure Data Explorer without feeling overwhelmed."
"I appreciated how focused it was on the core tasks like cluster creation and data querying."
An ideal starting point for those new to Azure Data Explorer.
"The material is presented clearly, making it easy for beginners to follow along."
"As someone new to ADX, this course gave me a perfect introduction."
"I found it very helpful for getting familiar with the basic operations of ADX."
Provides essential practical experience in Azure Data Explorer.
"I really appreciated the step-by-step approach to creating an ADX cluster and ingesting data."
"The project-based format helped me grasp the concepts quickly through direct application."
"It was great to get hands-on with KQL queries right away after setting up ADX."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting started with Azure Data Explorer with these activities:
Review Kusto Query Language (KQL)
Strengthen your understanding of Kusto Query Language (KQL) before taking the course to enhance your ability to query and analyze data.
Browse courses on Kusto Query Language
Show steps
  • Read documentation on KQL
  • Practice writing KQL queries using an online tool
Review Azure Data Explorer Concepts
Reinforce your foundational understanding of Azure Data Explorer and its capabilities to enhance your learning experience in this course.
Browse courses on Azure Data Explorer
Show steps
  • Read documentation on Azure Data Explorer
  • Watch tutorials on Azure Data Explorer
Join a Study Group for Azure Data Explorer
Enhance your learning experience by joining a study group, where you can collaborate with peers, discuss concepts, and solve problems together.
Browse courses on Data Exploration
Show steps
  • Find or create an Azure Data Explorer study group
  • Schedule regular meetings for discussion and collaboration
  • Share resources, ask questions, and provide support to each other
Five other activities
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Show all eight activities
Practice Creating Azure Data Explorer Clusters
Strengthen your practical skills by creating and managing Azure Data Explorer clusters, as covered in the course.
Browse courses on Data Ingestion
Show steps
  • Create an Azure Data Explorer cluster in the portal
  • Configure cluster settings and scaling options
  • Verify cluster creation and status
Follow Tutorials on Azure Data Explorer Database Management
Supplement your understanding by following guided tutorials that provide step-by-step instructions on managing Azure Data Explorer databases.
Browse courses on Database Management
Show steps
  • Find tutorials on creating and managing Azure Data Explorer databases
  • Follow the tutorials and create databases
  • Configure database settings and permissions
Develop a Cheat Sheet for Azure Data Explorer Commands
Solidify your understanding of Azure Data Explorer commands by creating a cheat sheet for quick reference during and after the course.
Browse courses on Kusto Query Language
Show steps
  • Compile a list of essential Azure Data Explorer commands
  • Create a cheat sheet in a format that suits your learning style
  • Use the cheat sheet to practice queries and commands
Organize Course Materials for Future Reference
Start building a foundation for future learning by organizing your course materials, including notes, assignments, and quizzes, for easy access and review.
Browse courses on Note-Taking
Show steps
  • Create a system for organizing your course materials
  • Store materials in a centralized location
  • Review and update your organized materials periodically
Attend a Workshop on Azure Data Explorer Best Practices
Expand your knowledge and skills by attending a workshop that focuses on best practices for using Azure Data Explorer effectively.
Browse courses on Data Management
Show steps
  • Find and register for an Azure Data Explorer best practices workshop
  • Attend the workshop and actively participate in discussions

Career center

Learners who complete Getting started with Azure Data Explorer will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst takes in raw data, performs statistical analysis, and provides interpretable results to aid business decision-making. Creating an Azure Data Explorer cluster, querying, and managing tables in Azure Data Explorer are all skills that would help an aspiring Data Analyst to clean, process, and analyze complex data in a business context. This course will help students gain experience working with a powerful tool in the data analysis ecosystem and build a foundation for a successful career in this field.
See salaries and explore the career path for Data Analyst
Data Engineer
A Data Engineer is responsible for building pipelines to collect, cleanse, and analyze data. This role requires experience working with databases and data management systems. This course will help students learn to create and manage an Azure Data Explorer cluster in addition to importing data. Having these skills will aid an aspiring Data Engineer in designing data pipelines that are efficient and organized.
See salaries and explore the career path for Data Engineer
Data Scientist
A Data Scientist gathers, stores, manages, and interprets data to extract knowledge and insights. This job requires the use of technologies such as Azure Data Explorer to perform data analysis and machine learning-related tasks. This course will help aspiring Data Scientists expand their skillset by teaching them how to query and manage data in Azure Data Explorer.
See salaries and explore the career path for Data Scientist
Database Administrator
A Database Administrator creates, maintains, and manages databases. This professional must be able to handle data, users, and databases. This course will help students learn to create and manage tables and databases in Azure Data Explorer. These skills will help someone pursuing a Database Administrator career expand their expertise with different kinds of databases.
See salaries and explore the career path for Database Administrator
Software Engineer
A Software Engineer is responsible for designing, implementing, testing, and maintaining a variety of software programs. They may specialize in certain programming languages, operating systems, or applications. This course provides Software Engineers with experience working with Azure Data Explorer. This may be a good fit for a Software Engineer who wants to specialize in data science, machine learning, or database related projects.
See salaries and explore the career path for Software Engineer
Business Analyst
A Business Analyst analyzes data, identifies business needs, and develops solutions to improve business outcomes. Growing volumes of data require Business Analysts to leverage tools such as Azure Data Explorer to perform data analysis and visualization. This course will help students develop skills in this area and make them more competitive in a data-driven business landscape.
See salaries and explore the career path for Business Analyst
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing systems. This role requires a deep understanding of cloud technologies, including Azure Data Explorer. This course will help students learn to create and manage Azure Data Explorer clusters, which will strengthen their skills in this important area.
See salaries and explore the career path for Cloud Architect
Data Architect
A Data Architect designs, develops, and manages data systems. This role is responsible for ensuring the quality and integrity of an organization's data. This course may be useful for a Data Architect who wants to strengthen their skills in working with Azure Data Explorer. Large organizations often rely on Azure Data Explorer for data analysis and management.
See salaries and explore the career path for Data Architect
Information Security Analyst
An Information Security Analyst is responsible for maintaining the security of information systems. This may include defending against cyberattacks, detecting security breaches, and investigating security incidents. This course may be useful for an Information Security Analyst who wants to strengthen their skills in securing data in cloud environments. Azure Data Explorer plays a significant role in data storage and security.
See salaries and explore the career path for Information Security Analyst
Project Manager
A Project Manager initiates, plans, executes, controls, and closes a project. This role is responsible for ensuring that the project is completed on time, within budget, and to the required quality standards. This course may be useful for a Project Manager who wants to strengthen their data management skills. Azure Data Explorer is often used in data-intensive projects.
See salaries and explore the career path for Project Manager
Technical Writer
A Technical Writer creates documentation for technical products or services. This role is responsible for conveying technical information clearly and effectively. This course may be useful for a Technical Writer who wants to learn more about Azure Data Explorer. This will enable them to create more accurate and comprehensive documentation for Azure Data Explorer-related products.
See salaries and explore the career path for Technical Writer
Data Journalist
A Data Journalist uses data to tell stories and inform the public. This role is responsible for finding, analyzing, and visualizing data in a way that is easy to understand. This course may be useful for a Data Journalist who wants to strengthen their data analysis skills. Azure Data Explorer is a powerful tool for data analysis and visualization.
See salaries and explore the career path for Data Journalist
Operations Research Analyst
An Operations Research Analyst uses mathematics and data analysis to solve problems and improve the efficiency of an organization. This role is responsible for developing and implementing solutions to improve productivity and reduce costs. This course may be useful for an Operations Research Analyst who wants to strengthen their data analysis skills. Azure Data Explorer is a powerful tool for data analysis.
See salaries and explore the career path for Operations Research Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematics and data to analyze financial markets and make investment decisions. This role is responsible for developing and implementing quantitative models to predict the future performance of stocks, bonds, and other financial instruments. This course may be useful for a Quantitative Analyst who wants to strengthen their data analysis skills. Azure Data Explorer is a powerful tool for data analysis.
See salaries and explore the career path for Quantitative Analyst
Systems Analyst
A Systems Analyst designs, develops, and implements computer systems. This role is responsible for analyzing the needs of users and developing systems that meet those needs. This course may be useful for a Systems Analyst who wants to strengthen their data management skills. Azure Data Explorer is a powerful tool for data storage and management.
See salaries and explore the career path for Systems Analyst

Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting started with Azure Data Explorer.
Cover image
Pro SQL Server on Microsoft Azure
Save
Provides a guide to administration in Azure Data Explorer. The book covers a wide range of topics, including cluster management, data management, and performance monitoring. The book valuable resource for anyone who wants to learn how to administer their Azure Data Explorer clusters.
Pro SQL Server on Microsoft Azure
Paperback
Check
Pro SQL Server on Microsoft Azure
Kindle Edition
Check
Cover image
Introducing Microsoft System Center 2012 R2
Save
Provides guidance on how to troubleshoot common problems with Azure Data Explorer. It covers topics such as performance issues, data ingestion issues, and query issues.
Introducing Microsoft System Center 2012 R2
Paperback
Check
Introducing Microsoft System Center 2012 R2
Kindle Edition
Check
Cover image
Microsoft Azure Infrastructure Services for...
Save
An introductory book that provides a gentle introduction to Azure Data Explorer, its features, and use cases.
Microsoft Azure Infrastructure Services for...
Paperback
Check
Microsoft Azure Infrastructure Services for...
Kindle Edition
Check
Cover image
Exam 98-368 MTA Mobility and Device Fundamentals
Save
Provides a foundational understanding of Azure data services, including Azure Data Explorer. It useful resource for anyone who wants to learn more about Azure data services.
Exam 98-368 MTA Mobility and Device Fundamentals
Paperback
Check
Exam 98-368 MTA Mobility and Device Fundamentals
Kindle Edition
Check

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Course image
Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Priya Jha
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Emphasizes cloud-based data management and querying with Microsoft Azure and Kusto Query Language
Teaches data management and manipulation on a cloud platform
Instructs students on managing scaling and database permissions
Course requires an active Azure account, which may entail costs
Students must have some familiarity with cloud computing concepts
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