Azure Data Lake Storage Gen2 and Data Streaming Solution
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 9 hours
- Course by Microsoft
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Offered by
About
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. This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam. This is the ninth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).Modules
Welcome to the course
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1
Videos
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2
Readings
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1
Discussion
1
Discussions
- Secure your data
1
Videos
- Introduction to the course
2
Readings
- Course syllabus
- How to be successful in this course
Introduction to Azure Data Lake storage
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6
Videos
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1
Readings
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1
Plugin
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2
Assignment
2
Assignment
- Exercise quiz
- Knowledge check
6
Videos
- Lesson introduction
- Understand Azure Data Lake Storage Gen2
- Compare Azure Data Lake Store to Azure Blob storage
- Understand the stages for processing big data by using Azure Data Lake Store
- Examine uses for Azure Data Lake Storage Gen2
- Lesson summary
1
Readings
- Exercise - Create an Azure Storage Account by using the portal
Upload data to Azure Data Lake Storage
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2
Videos
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3
Readings
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2
Assignment
2
Assignment
- Exercise quiz
- Test prep
2
Videos
- Lesson introduction
- Lesson summary
3
Readings
- Exercise - Create an Azure Storage account for Azure Data Lake Storage
- Exercise - Use Azure Storage Explorer to upload data to Azure Storage
- Exercise - Use Azure Data Factory to copy data from Data Lake Storage Gen1 to Data Lake Storage Gen2
Azure Storage security feature
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3
Videos
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1
Plugin
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1
Assignment
1
Assignment
- Knowledge check
3
Videos
- Module introduction
- Explore Azure Storage security features
- Storage account keys
Access control and threat protection
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5
Videos
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2
Assignment
2
Assignment
- Knowledge check
- Test prep
5
Videos
- Shared access signatures
- Control network access to a storage account
- Advanced threat protection for Azure Storage
- Azure Data Lake Storage security features
- Module summary
Work with data streams by using Azure Stream Analytics
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5
Videos
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1
Assignment
1
Assignment
- Knowledge check
5
Videos
- Lesson introduction
- Understand data streams
- Understand event processing
- Process events with Azure Stream Analytics
- Lesson summary
Enable reliable messaging for Big Data applications using Azure Event Hubs
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5
Videos
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4
Readings
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4
Assignment
4
Assignment
- Exercise quiz
- Exercise quiz
- Exercise quiz
- Knowledge check
5
Videos
- Lesson introduction
- Create an Event Hub using the Azure CLI
- Configure applications to send or receive messages through an Event Hub
- Evaluate the performance of the deployed Event Hub using the Azure portal
- Lesson summary
4
Readings
- Define an Event Hubs namespace
- Exercise - Use the Azure CLI to Create an Event Hub
- Exercise - Configure applications to send or receive messages through an Event Hub
- Exercise - Evaluate the performance of the deployed Event Hub using the Azure portal
Ingest data streams with Azure Stream Analytics
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5
Videos
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4
Readings
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3
Assignment
3
Assignment
- Exercise quiz
- Knowledge check
- Test prep
5
Videos
- Lesson introduction
- Understand stream processing
- Process streaming data with Azure Stream Analytics
- Describe windowing functions
- Lesson summary
4
Readings
- Create streaming data input
- Create Power BI output
- Exercise – Create a query using tumbling windows
- Exercise – Visualize results in Power BI
Course Practice Exam
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1
Videos
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1
Readings
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1
Assignment
1
Assignment
- Course practice exam
1
Videos
- Course recap
1
Readings
- About the practice exam
Course wrap-up
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1
Videos
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1
Readings
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1
Discussion
1
Discussions
- Reflect on learning
1
Videos
- Course summary
1
Readings
- Next steps
Auto Summary
Discover how Azure Data Lake Storage enhances Big Data analytics and explore event processing with Azure Stream Analytics in this comprehensive course. Ideal for data engineers and developers, it prepares you for the Exam DP-203: Data Engineering on Microsoft Azure. Led by Coursera, this professional-level course spans 540 minutes and offers starter and professional subscription options. Gain expertise in designing and implementing data solutions using Microsoft Azure.
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