In the "Azure Data Lake Storage Gen2 and Data Streaming Solution" course, you will explore how Azure Data Lake Storage enhances the efficiency of processing Big Data analytical solutions. This course delves into the setup of Azure Data Lake Storage and its alignment with common architectures. Additionally, you will gain insights into security features and methods for uploading data. The module on Azure Stream Analytics will equip you with the ability to create and manage stream analytics jobs.
Throughout the program, you will cover topics such as secure Azure Storage account management, event processing, and streaming data with Azure Stream Analytics. By the end of the course, you will be prepared to take the Exam DP-203: Data Engineering on Microsoft Azure (beta) and demonstrate proficiency in designing and implementing data solutions using Microsoft Azure data services.
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This course comprises in-depth modules covering Azure Data Lake Storage, security features, and Azure Stream Analytics. Gain expertise in processing Big Data, managing Azure Storage accounts, and implementing stream analytics jobs.
This module provides an introduction to Azure Data Lake Storage, including a comparison with Azure Blob storage and an exploration of its uses in processing big data. You will also learn to create and manage Azure Storage accounts and upload data using Azure Storage Explorer and Azure Data Factory.
This module explores the security features of Azure Storage accounts, including storage account keys, shared access signatures, and network access control. Additionally, it covers advanced threat protection for Azure Storage and security features specific to Azure Data Lake Storage.
Here, you will gain an understanding of data streams, event processing, and stream processing. The module focuses on creating and configuring Event Hubs using the Azure CLI, evaluating performance, and using Azure Stream Analytics to process streaming data and create queries with windowing functions.
The final module offers a recap of the course and includes a practice exam to assess your knowledge. It prepares you for the Exam DP-203: Data Engineering on Microsoft Azure (beta) and enables you to reflect on your learning journey.
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