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Xavier Morera
Learn how to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer, Microsoft's interactive Big Data analytics platform.
Read more
Learn how to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer, Microsoft's interactive Big Data analytics platform.
Read more
Learn how to ingest, query, analyze, and visualize large amounts of data with Azure Data Explorer, Microsoft's interactive Big Data analytics platform.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/oun2u8/how
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What's inside
Syllabus
Course Overview
Getting Started with Azure Data Explorer: Overview and Architecture
Understanding and Creating Azure Data Explorer Infrastructure
Read more
Syllabus
Course Overview
Getting Started with Azure Data Explorer: Overview and Architecture
Understanding and Creating Azure Data Explorer Infrastructure
Read more
Ingesting Data in Azure Data Explorer
Querying Data in Azure Data Explorer
Visualizing Data in Azure Data Explorer
Monitoring in Azure Data Explorer
Final Takeaway
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches Kusto Query Language (KQL), the query language for Azure Data Explorer
Covers creating and scaling infrastructure, ingesting data, querying data, and visualizing data in Azure Data Explorer
Introduces Azure Data Explorer, Microsoft's interactive Big Data analytics platform
Explores data visualization techniques using Azure Data Explorer or third-party tools like Power BI and Tableau
Provides foundational knowledge for analyzing large amounts of data, including log and telemetry data, using Azure Data Explorer
Taught by Xavier Morera, an experienced instructor in Azure Data Explorer
Save this course
Save How to Start with Microsoft Azure Data Explorer to your list so you can find it easily later:
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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 How to Start with Microsoft Azure Data Explorer with these
activities:
Review Data Ingestion Concepts
Show steps
Review data ingestion techniques to reinforce foundational understanding of the course material.
Browse courses on
Data Ingestion
Show steps
-
Review data ingestion methods for structured and unstructured data.
-
Explore data ingestion tools and technologies like Azure Data Factory and Event Hubs.
-
Practice data ingestion scenarios using provided datasets.
Attend an Azure Data Explorer Workshop
Show steps
Gain practical experience and insights from experts through hands-on workshops.
Show steps
-
Search for upcoming Azure Data Explorer workshops.
-
Register and attend the workshop.
Participate in Azure Data Explorer Community Forum
Show steps
Engage with other learners and experts to enhance understanding and resolve queries.
Show steps
-
Join the Azure Data Explorer Community Forum.
-
Participate in discussions, ask questions, and share knowledge.
-
Collaborate with peers to solve problems and gain new perspectives.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Query Data using KQL
Show steps
Strengthen KQL querying skills through repetitive exercises.
Show steps
-
Practice writing KQL queries to filter, aggregate, and transform data.
-
Utilize KQL functions and operators to manipulate data.
-
Solve data analysis challenges using provided KQL exercises.
Compile a Glossary of Azure Data Explorer Concepts
Show steps
Create a personalized resource to enhance understanding of key concepts and terminology.
Show steps
-
Gather definitions and explanations from course materials, documentation, and online resources.
-
Organize terms alphabetically or by category.
-
Include examples and real-world applications to reinforce understanding.
Mentorship Program: Assist New Azure Data Explorer Users
Show steps
Share knowledge and support fellow learners by providing guidance and answering questions.
Show steps
-
Join online forums and discussion groups related to Azure Data Explorer.
-
Identify individuals who are new to Azure Data Explorer and offer assistance.
-
Provide guidance, answer questions, and share resources.
Develop a Data Visualization Dashboard
Show steps
Apply visualization techniques to present data insights effectively.
Show steps
-
Design a dashboard to visualize key metrics and trends.
-
Use Azure Data Explorer's visualization capabilities or integrate with third-party tools.
-
Present the dashboard to showcase data insights and support decision-making.
Contribute to the Azure Data Explorer Open Source Community
Show steps
Contribute to the development and advancement of Azure Data Explorer by engaging with the open-source community.
Show steps
-
Review the Azure Data Explorer GitHub repository.
-
Identify areas for potential contributions.
-
Submit pull requests with code improvements, documentation updates, or new features.
Review Data Ingestion Concepts
Show steps
Review data ingestion techniques to reinforce foundational understanding of the course material.
Browse courses on
Data Ingestion
Show steps
Show steps
Show steps
- Review data ingestion methods for structured and unstructured data.
- Explore data ingestion tools and technologies like Azure Data Factory and Event Hubs.
- Practice data ingestion scenarios using provided datasets.
Attend an Azure Data Explorer Workshop
Show steps
Gain practical experience and insights from experts through hands-on workshops.
Show steps
Show steps
Show steps
- Search for upcoming Azure Data Explorer workshops.
- Register and attend the workshop.
Participate in Azure Data Explorer Community Forum
Show steps
Engage with other learners and experts to enhance understanding and resolve queries.
Show steps
Show steps
Show steps
- Join the Azure Data Explorer Community Forum.
- Participate in discussions, ask questions, and share knowledge.
- Collaborate with peers to solve problems and gain new perspectives.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Query Data using KQL
Show steps
Strengthen KQL querying skills through repetitive exercises.
Show steps
Show steps
Show steps
- Practice writing KQL queries to filter, aggregate, and transform data.
- Utilize KQL functions and operators to manipulate data.
- Solve data analysis challenges using provided KQL exercises.
Compile a Glossary of Azure Data Explorer Concepts
Show steps
Create a personalized resource to enhance understanding of key concepts and terminology.
Show steps
Show steps
Show steps
- Gather definitions and explanations from course materials, documentation, and online resources.
- Organize terms alphabetically or by category.
- Include examples and real-world applications to reinforce understanding.
Mentorship Program: Assist New Azure Data Explorer Users
Show steps
Share knowledge and support fellow learners by providing guidance and answering questions.
Show steps
Show steps
Show steps
- Join online forums and discussion groups related to Azure Data Explorer.
- Identify individuals who are new to Azure Data Explorer and offer assistance.
- Provide guidance, answer questions, and share resources.
Develop a Data Visualization Dashboard
Show steps
Apply visualization techniques to present data insights effectively.
Show steps
Show steps
Show steps
- Design a dashboard to visualize key metrics and trends.
- Use Azure Data Explorer's visualization capabilities or integrate with third-party tools.
- Present the dashboard to showcase data insights and support decision-making.
Contribute to the Azure Data Explorer Open Source Community
Show steps
Contribute to the development and advancement of Azure Data Explorer by engaging with the open-source community.
Show steps
Show steps
Show steps
- Review the Azure Data Explorer GitHub repository.
- Identify areas for potential contributions.
- Submit pull requests with code improvements, documentation updates, or new features.
Career center
Learners who complete How to Start with Microsoft Azure Data Explorer will develop knowledge and skills
that may be useful to these careers:
Data Security Analyst
Data Security Analyst
Data Security Analysts are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with stakeholders to identify security risks and develop solutions to mitigate those risks. Data Security Analysts typically have a strong understanding of security principles and practices. The course How to Start with Microsoft Azure Data Explorer will provide experience working with data that will be helpful when entering into this career.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. They gather data from a variety of sources, analyze it, and then present their findings to decision-makers. Business Intelligence Analysts typically have a strong understanding of business and data analysis techniques. The course, How to Start with Microsoft Azure Data Explorer, may be helpful to Business Intelligence Analysts who want to learn how to use Azure Data Explorer to analyze large amounts of data.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Data comes from different sources in many formats, including text, images, audio, video, and sensor data. Data Scientists are in high demand because they are able to turn massive amounts of data into actionable insights. If you want to become a Data Scientist, the course How to Start with Microsoft Azure Data Explorer may be helpful as it can help you learn how to analyze large amounts of data and extract meaningful insights.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They also work with stakeholders to understand business needs and develop solutions that meet those needs. Machine Learning Engineers typically have a strong understanding of mathematics, statistics, and programming. As a Machine Learning Engineer, you will be working to teach computers to think and learn. The course How to Start with Microsoft Azure Data Explorer may be useful to you in your career as it can help you learn how to analyze and model large amounts of data.
Data Architect
Data Architect
Data Architects are responsible for designing, building, and managing data architectures. They work with stakeholders to understand data needs and develop solutions that meet those needs. In addition to a strong understanding of data management concepts, Data Architects also need to have a strong understanding of business processes. The course How to Start with Microsoft Azure Data Explorer may be helpful to you if you are interested in becoming a Data Architect, as it can help you build a foundation in big data analytics.
Database Administrator
Database Administrator
Database Administrators, also known as DBAs, are responsible for the installation, configuration, maintenance, and performance monitoring of database management systems. They may also be involved in database design, development, and security. A background in computer science is typically required to be a successful DBA. In this role, you will need to understand how to organize and manage data, and the course How to Start with Microsoft Azure Data Explorer can be helpful in developing that understanding.
Data Engineer
Data Engineer
Data Engineers design, build, deploy, and maintain data management systems. They are also responsible for ensuring that data is secure, reliable, and accessible to users. To become a Data Engineer, formal education in computer science is usually a must and at least a bachelor's degree is required. With the increasing amount of data being generated, Data Engineers are in high demand. The course, How to Start with Microsoft Azure Data Explorer, may help prepare you for this role and help you understand how to manage and analyze large amounts of data.
Data Analyst
Data Analyst
As a Data Analyst, you will investigate data and come up with meaningful insights to help businesses predict trends and prevent issues. This can be applied to industries like healthcare, finance, retail, manufacturing, and others. To be a successful Data Analyst, you need a skill set that includes understanding big data analytics and data visualization. The Microsoft Azure Data Explorer can be a useful tool in your toolbelt because it allows you to analyze a massive amount of data fast and efficiently. The course, How to Start with Microsoft Azure Data Explorer, may help you build a foundation that you can use in your career.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing platforms. They work with stakeholders to understand business needs and develop solutions that meet those needs. Cloud Architects typically have a strong understanding of cloud computing technologies. The course, How to Start with Microsoft Azure Data Explorer, may be helpful for Cloud Architects who have any interest in becoming further familiarized with the Microsoft Cloud services such as Azure Data Explorer in order to manage and analyze large amounts of data.
Computer Scientist
Computer Scientist
Computer Scientists research and develop new computer technologies and applications. They work on a wide range of topics, including artificial intelligence, computer graphics, databases, and software engineering. Computer Scientists typically have a strong understanding of mathematics, statistics, and programming. The course, How to Start with Microsoft Azure Data Explorer, may be helpful to Computer Scientists who have any interest in learning more about big data analytics.
IT Manager
IT Manager
IT Managers are responsible for the planning, implementation, and management of information technology systems in an organization. They work with stakeholders to understand business needs and develop technology solutions that meet those needs. IT Managers typically have a strong understanding of business and technology. The course, How to Start with Microsoft Azure Data Explorer, may be helpful to IT Managers who have any interest in working with and managing large amounts of data.
Software Developer
Software Developer
Software Developers design, develop, and implement software applications. They work with stakeholders to understand software requirements and develop solutions that meet those requirements. Software Developers typically have a strong understanding of programming languages and software development principles. The course, How to Start with Microsoft Azure Data Explorer, can be helpful to Software Developers who want to learn how to use Azure Data Explorer to manage and analyze large amounts of data.
Systems Administrator
Systems Administrator
Systems Administrators are responsible for the day-to-day operation of computer systems. They install, configure, and maintain software and hardware. They also monitor systems for performance and security issues. Systems Administrators typically have a strong understanding of operating systems and networking. The course, How to Start with Microsoft Azure Data Explorer, may be helpful to Systems Administrators that would like to learn about Azure and specifically Azure Data Explorer.
Software Architect
Software Architect
Software Architects design, develop, and implement software systems. They also work with stakeholders to understand software requirements and develop solutions that meet those requirements. Software Architects typically have a strong understanding of computer science and software development principles. The course, How to Start with Microsoft Azure Data Explorer, can be helpful to Software Architects who want to learn how to use Azure Data Explorer to manage and analyze large amounts of data.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. They work with stakeholders to understand website requirements and develop solutions that meet those requirements. Web Developers typically have a strong understanding of HTML, CSS, and JavaScript. The course, How to Start with Microsoft Azure Data Explorer, will likely not be particularly useful for someone wanting to become a Web Developer.
For more career information including salaries, visit:
OpenCourser.com/course/oun2u8/how
Reading list
We've selected six 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
How to Start with Microsoft Azure Data Explorer.
Provides a gentle introduction to data analytics, making it accessible to readers with no prior experience. It covers topics such as data exploration, data visualization, and machine learning.
Provides a comprehensive overview of Azure Data Explorer for beginners. It covers topics such as data ingestion, querying, analysis, visualization, and monitoring, with a focus on practical applications.
Save
Provides a comprehensive overview of the Azure Data Platform, which includes Azure Data Explorer. It valuable resource for anyone interested in learning more about the Azure Data Platform and its components.
Provides a comprehensive overview of Apache Hadoop, which can be used for big data storage and processing on Azure. It valuable resource for anyone interested in learning more about Apache Hadoop and its use cases.
Provides a comprehensive overview of Python, which can be used for data analysis and visualization on Azure. It covers the core concepts, features, and use cases of Python.
Provides a comprehensive overview of Azure Monitor. It covers the core concepts, features, and use cases of Azure Monitor.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/oun2u8/how
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Time
246 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
Good to know
Teaches Kusto Query Language (KQL), the query language for Azure Data Explorer
Covers creating and scaling infrastructure, ingesting data, querying data, and visualizing data in Azure Data Explorer
Introduces Azure Data Explorer, Microsoft's interactive Big Data analytics platform
Explores data visualization techniques using Azure Data Explorer or third-party tools like Power BI and Tableau
Provides foundational knowledge for analyzing large amounts of data, including log and telemetry data, using Azure Data Explorer
Taught by Xavier Morera, an experienced instructor in Azure Data Explorer
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