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    Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)

    Posted By: Sigha
    Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)

    Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.39 GB
    Genre: eLearning Video | Duration: 62 lectures (6 hour, 15 mins) | Language: English

    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


    Requirements

    Basic Database concepts

    Description

    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

    Level

    Beginners and intermediate level

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

    Prerequisites

    There is no prerequisite for this course

    Basic understanding of Data warehouse and Database, in general, will help you understand quickly.

    Language

    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

    Microsoft Azure Data Lake Storage Service (Gen1 & Gen2)


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