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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.

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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

Project Overview
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.

Good to know

Know what's good
, what to watch for
, 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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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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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.

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