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Building Data Lakes on AWS

WGAC-AWS-BDLA

Amazon Web Services Training Courses Certification

Schedule

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Open
Amazon Web Services

Building Data Lakes on AWS

WGAC-AWS-BDLA

Virtual ILT

Language: English

CET UTC+01:00

Start date:17 Oct 2022 09:00
End date:17 Oct 2022 17:00
Duration:1 day

$ 750

Guaranteed to run
Amazon Web Services

Building Data Lakes on AWS

WGAC-AWS-BDLA

Virtual ILT

Language: English

GMT UTC+00:00

Start date:17 Oct 2022 09:30
End date:17 Oct 2022 17:00
Duration:1 day

$ 700

Open
Amazon Web Services

Building Data Lakes on AWS

WGAC-AWS-BDLA

Rome

Language: Italian

CET UTC+01:00

Start date:06 Feb 2023 09:30
End date:06 Feb 2023 17:30
Duration:1 day

$ 590

Open
Amazon Web Services

Building Data Lakes on AWS

WGAC-AWS-BDLA

London, City

Language: English

GMT UTC+00:00

Start date:17 Feb 2023 09:00
End date:17 Feb 2023 17:00
Duration:1 day

$ 700

Open
Amazon Web Services

Building Data Lakes on AWS

WGAC-AWS-BDLA

London, City

Language: English

GMT UTC+00:00

Start date:21 Apr 2023 09:00
End date:21 Apr 2023 17:00
Duration:1 day

$ 700

Description

Module 1: Introduction to data lakes

  • Describe the value of data lakes
  • Compare data lakes and data warehouses
  • Describe the components of a data lake
  • Recognize common architectures built on data lakes

Module 2: Data ingestion, cataloging, and preparation

  • Describe the relationship between data lake storage and data ingestion
  • Describe AWS Glue crawlers and how they are used to create a data catalog
  • Identify data formatting, partitioning, and compression for efficient storage and query
  • Lab 1: Set up a simple data lake

Module 3: Data processing and analytics

  • Recognize how data processing applies to a data lake
  • Use AWS Glue to process data within a data lake
  • Describe how to use Amazon Athena to analyze data in a data lake

Module 4: Building a data lake with AWS Lake Formation

  • Describe the features and benefits of AWS Lake Formation
  • Use AWS Lake Formation to create a data lake
  • Understand the AWS Lake Formation security model
  • Lab 2: Build a data lake using AWS Lake Formation

Module 5: Additional Lake Formation configurations

  • Automate AWS Lake Formation using blueprints and workflows
  • Apply security and access controls to AWS Lake Formation
  • Match records with AWS Lake Formation FindMatches
  • Visualize data with Amazon QuickSight
  • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
  • Lab 4: Data visualization using Amazon QuickSight

We recommend that attendees of this course have:

  • Completed the classroom course
  • One year of experience building data analytics pipelines or have completed the digital course

In this course, you will learn to:

  • Apply data lake methodologies in planning and designing a data lake
  • Articulate the components and services required for building an AWS data lake
  • Secure a data lake with appropriate permission
  • Ingest, store, and transform data in a data lake
  • Query, analyze, and visualize data within a data lake

The description for this course is currently being updated.
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