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Secure DataLakes on AWS with AWS Lake Formation - Hands On!

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Antara Sen

2:11:03

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  • 1. Introduction to the course.mp4
    01:08
  • 2.1 prerequisites.pdf
  • 2. Pre-requisites.html
  • 3. Optional Setting up budget in AWS prior using required services.html
  • 1. Challenges prior to Lake Formation.mp4
    01:56
  • 2. Glance at the Official Definition.mp4
    01:05
  • 3. A New Authorization Layer.mp4
    00:46
  • 4. IAM & Lake Formation Permissions.mp4
    02:42
  • 5.1 Valid Lake Formation permissions available for each type of resource.html
  • 5. DB style Fine Grained Permissions.mp4
    01:50
  • 6. Understanding Key LF Terminologies.mp4
    01:32
  • 1. Limitations of using only Lake Formation Permissions Mode.mp4
    02:21
  • 2. Introduction to Lake Formation Hybrid Access Mode, How it works.mp4
    01:30
  • 3. Another key usecase of LF Hybrid Access Mode Feature.mp4
    01:54
  • 4. Prerequisites, Considerations & Limitations for using Hybrid Access Mode.html
  • 1. Optional Overview of the AWS Lake Formation console.mp4
    08:39
  • 2.1 Customer Data Kaggle.html
  • 2. Prerequisite Overview of the DataLake Data.mp4
    07:21
  • 3. Optional step-by-step guide to setup the basic DataLake in Amazon S3.html
  • 4. Demo Registering the DataLake with Lake Formation.mp4
    05:06
  • 5. Optional IAM permissions to be provided to Data Analyst.html
  • 6.1 Lakeformation GetDataAccess IAM permission.html
  • 6. Demo Setting up Lake Formation Permissions for Data Analyst.mp4
    14:11
  • 7.1 How Amazon EMR accesses data registered with Lake Formation.html
  • 7.2 How Athena accesses data registered with Lake Formation.html
  • 7. Lake Formation permissions management workflow.html
  • 8. Demo Cross Account Data Sharing using Lake Formation.mp4
    39:11
  • 9. Optional Access Data Catalog resources from any AWS Region via Resource Links.mp4
    11:41
  • 10. Setting up Cross-account Permissions for Data Engineer by AWS Glue methods.html
  • 11.1 AWS Document Link for registering Glue Data Catalog from another account in Athena.html
  • 11. Optional Registering Glue Data Catalog from another account in Athena.html
  • 12. Demo Challenges while using only Lake Formation Permission Mode.mp4
    12:48
  • 13. Demo using Lake Formation Hybrid Access Mode and its benefits.mp4
    06:31
  • 14. Demo Another key usecase of LF Hybrid Access Mode Feature.mp4
    08:51
  • 15. Quiz on Lake Formation.html
  • 1. Terraform code to enable Lake Formation for your S3 Data Lake.html
  • Description


    Empower your data journey with AWS Lake Formation. Get up to speed with sharing DataLake data using Lake Formation.

    What You'll Learn?


    • This course is a deep into the AWS Lake Formation service that enables Data teams build, secure and share Data Lake data quickly and easily.
    • By the end of this course, you will be clear and comfortable on using Lake Formation features on real enterprise level Data Lakes on AWS.
    • Getting familiar with Lake Formation Hybrid Access mode feature and its key benefits.
    • Practical Hands-on exercises that will help you learn how to use Lake Formation for securely sharing the DataLake data.

    Who is this for?


  • Data Engineers, Data Analysts, Operations teams managing Data Lakes on AWS
  • Any Data governance enthusiast who wishes to learn how to secure Data Lakes on AWS using Lake Formation
  • What You Need to Know?


  • Familiarity with Data Lakes on AWS
  • Familiarity with these AWS services - Amazon S3, Amazon Athena, AWS Glue and AWS Identity and Access Management (IAM)
  • More details


    Description

    Hello and welcome to this course on - "Securing and Sharing Data Lake data using AWS Lake Formation". This course is primarily a deep dive into the AWS Lake Formation Service, which is one of the essential pillars for data lakes on AWS. Prior to the launch of Lake Formation and its database-style fine grained permissions for data lakes, one had to manage access to the data in the data lake and its metadata separately through AWS Identity and Access Management (IAM) policies and S3 bucket policies. This was relatively much more complex and also less granular compared to Lake Formation.

    AWS Lake Formation is a fully managed service that simplifies the cumbersome process of securing and managing data lakes, hence streamlining Data Management and enabling improved Data Discovery along with enhanced Security. In this course you will get to learn and experiment (via Practical hands-on exercises) the key components of Lake Formation and how to use it to securely share the DataLake data to different personas (having varied use-cases on the DataLake). In this course you will also get to learn about the Lake Formation Hybrid Access mode feature which was launched in the recent past (September, 2023), and that it enables data administrators to onboard Lake Formation permissions selectively and incrementally.


    So Lets gets started to empower your data journey with AWS Lake Formation !!

    Who this course is for:

    • Data Engineers, Data Analysts, Operations teams managing Data Lakes on AWS
    • Any Data governance enthusiast who wishes to learn how to secure Data Lakes on AWS using Lake Formation

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    Hello, My name is Antara Sen and currently I am working as an Integral part of the DataLake Cloud Engineering Team at NatWest Group. Have 6+ years of proven industry track record with a background in Information Technology and Engineering from NIT Allahabad. I am a motived, hardworking, sincere, goal-oriented, strong engineering professional with design, development and analytical skills. Also I am passionate about solving complex business problems at scale using Software Engineering principles and always keen towards learning new things every day every moment, with a potential to grasp things quickly.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 19
    • duration 2:11:03
    • Release Date 2024/07/24