Training AWS

Training goals

code: AWS-BDLA

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

Course objectives

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

Intended audience

This course is intended for:

  • Data platform engineers
  • Solutions architects
  • IT professionals

Conspect Show list

  • 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
  • Module 6: Architecture and course review
    • Post course knowledge check
    • Architecture review
    • Course review
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Additional information

Prerequisites

We recommend that attendees of this course have:

  • Completed the AWS Technical Essentials classroom course
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Difficulty level
Duration 1 day
Certificate

The participants will obtain certificates signed by AWS (course completion).

This course together with Building Data Analytics Solutions Using Amazon Redshift, also helps you prepare for the AWS Certified Data Analytics - Specialty DAS- C01exam and this way gain the AWS Certified Data Analytics - Specialty title – specialty level. AWS certification exams are offered at Pearson Vue test centers worldwide https://home.pearsonvue.com/Clients/AWS.aspx
Trainer

AWS Authorized Instructor (AAI)

Other training AWS | Data Analytics

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Traditional training

Sessions organised at Compendium CE are usually held in our locations in Kraków and Warsaw, but also in venues designated by the client. The group participating in training meets at a specific place and specific time with a coach and actively participates in laboratory sessions.

Dlearning training

You may participate from at any place in the world. It is sufficient to have a computer (or, actually a tablet, or smartphone) connected to the Internet. Compendium CE provides each Distance Learning training participant with adequate software enabling connection to the Data Center. For more information, please visit dlearning.eu site

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Traditional materials: The price includes standard materials issued in the form of paper books, printed or other, depending on the arrangements with the manufacturer.

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Electronic materials: These are electronic training materials that are available to you based on your specific application: Skillpipe, eVantage, etc., or as PDF documents.

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Ctab materials: the price includes ctab tablet and electronic training materials or traditional training materials and supplies provided electronically according to manufacturer's specifications (in PDF or EPUB form). The materials provided are adapted for display on ctab tablets. For more information, check out the ctab website.

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