Large Scale Data Processing with Azure Data Lake Storage G2

Data Engineer
Azure Portal
Virtual Machines

In this learning path, 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 finally examine the myriad of security features that will ensure your data is secure.



Modules in this learning path

Introduction to Azure Data Lake storage

Learn how Azure Data Lake Storage provides a cloud storage service that is highly available, secure, durable, scalable, redundant and brings new efficiencies to processing big data analytics workloads.

Upload data to Azure Data Lake Storage

Learn the different ways to upload data to Data Lake Store Gen 2 - the Azure portal, Azure Storage Explorer, .NET or by copying data using Azure Data Factory.

Secure your Azure Storage account

Learn how Azure Storage provides a multi-layered security model to protect your data with access keys, secure networks, and proactive monitoring with Advanced Threat Detection - Learn