In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
Azure Data Lake Storage Gen2 and Data Streaming Solution
This course is part of Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate
Taught in English
Some content may not be translated
Instructor: Microsoft
Sponsored by Marlabs
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Course
(34 reviews)
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What you'll learn
How to use Azure Data Lake Storage to make processing Big Data analytical solutions more efficient.
How to set up a stream analytics job to stream data and manage a running job
How to describe the concepts of event processing and streaming data and how this applies to Azure Stream Analytics
How to use Advanced Threat Protection to proactively monitor your system and describe the various ways to upload data to Data Lake Storage Gen 2
Skills you'll gain
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(34 reviews)
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There are 4 modules in this course
In this module, you will learn how Azure Data Lake Storage provides a cloud storage service that is highly available, secure, durable, scalable, and redundant and brings new efficiencies to processing big data analytics workloads.
What's included
9 videos6 readings4 quizzes1 discussion prompt1 plugin
In this module, you will learn how Azure Storage provides multilayered security to protect your data. Find out how to use access keys, to secure networks, and to use Advanced Threat Protection to proactively monitor your system.
What's included
8 videos3 quizzes1 plugin
In this module, you will learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
What's included
15 videos8 readings8 quizzes
In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.
What's included
2 videos2 readings1 quiz1 discussion prompt
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Reviewed on Dec 29, 2022
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