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How to ingest, process and export data in Azure Data Lake using Databricks and HDInsight,

What you’ll learn

  • Microsoft Azure Data Lake
  • Different tools and scenarios to ingest data in to Data Lake
  • Data Lifecycle and Architecture around Data Lake
  • Use Azure Databricks and HDInsight to process data in ADLS
  • Five layers of security to protect Data Lake
  • Monitor the performance of your Data lake
  • Data Lake optimization Strategy

Course Introduction

  • 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.
  • The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks.
  • In this course, you will follow hands-on 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.

Expected Outcomes

After this course:

  • You will have a very good understanding of Data lake features and properties
  • You will learn about different tools and scenarios to ingest data into Data Lake.
  • You will learn about Data Lifecycle and Architecture around Data Lake
  • You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight.
  • You will learn about 5 layers of Data Security and how to configure them using the Azure portal.
  • You will also learn about different tools Azure provides to monitor Data Lake Storage service.
  • And finally, you will learn optimization techniques for Data Lake Storage.

Intended Audience

  • Anyone interested in learning Azure Data Lake Storage Service


  • Beginners and intermediate level
  • I have a few crash courses (Free) for absolute beginners, you can find links on my website.


  • There is no prerequisite for this course
  • Basic understanding of Data warehouse and Database, in general, will help you understand quickly.


  • English
  • If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.

What’s inside

  • Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links
  • Full lifetime access with all future updates
  • Certificate of course completion
  • 30-Day Money-Back Guarantee

Some students Feedback

  • One of the most amazing courses i have ever taken on Udemy. Please don’t hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. – Khadija Badary
  • Very nicely explained most of the concepts. a must have course for beginners – Manoranjan Swain
  • I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work – Benjamin Curtis
  • Good course for Beginners. Labs are really helpful to grasp the concept. Thank you – Sapna
Who this course is for:
  • Anyone interested in Azure’s big data analytics services
  • Microsoft Azure Data Engineers
  • Database and BI developers
  • Database Administrators
  • Data Analyst or similar profiles

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