Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything, from documents to images to social media streams. This is one of the most effective ways to go for big data processing; that is, to store your data in ADLS and then process it using Spark, which is a faster version of Hadoop, on Azure Databricks.
This is a comprehensive hands-on course for anyone who is interested in Azure’s big data analytics services. You will learn hands-on with examples to import data into ADLS and then securely access it and analyze it using Azure Databricks and Azure HDInsight. You will also learn how to monitor and optimize your Data Lake storage. This course provides an end-to-end demonstration for one to have a noticeably clear understanding of Data Lake.
By the end of this course, you will learn how to ingest, process, and export data using Databricks and HDInsight. You will have a solid understanding of Microsoft Azure Data Lake Storage Service (Gen1 and Gen2) and its features and properties, which will help you further in your professional endeavors.
All the resources for this course are available at https://github.com/PacktPublishing/Microsoft-Azure-Data-Lake-Storage-Se…-
Explore Data Lake optimization strategy
Learn to monitor the performance of your Data Lake
Explore different tools and scenarios to ingest data into Data Lake
Discover the five layers of security to protect Data Lake
Explore data security and configure them using the Azure portal
Learn to monitor Azure Storage Service through Metrics
Just a basic understanding of data warehouse and database, in general, will help you understand this course better.