FORGOT YOUR DETAILS?

eluide9eb7f5d

Building Data Lakes on AWS

Cost
$675 USD
Course Code
AWS-DA-DL
Duration
1 Day
Format
Live Virtual Class

Course Schedule

Awaiting product image

Building Data Lakes on AWS

$675.00

SCHEDULED, Sep 19, 2023 - Sep 19, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Oct 10, 2023 - Oct 10, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Nov 14, 2023 - Nov 14, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Dec 12, 2023 - Dec 12, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Aug 20, 2024 - Aug 20, 2024 (1 day), 09:00 AM - 05:00 PM US Eastern
Choose an option
Building Data Lakes on AWS – SCHEDULED, Sep 19, 2023 - Sep 19, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
Building Data Lakes on AWS – SCHEDULED, Oct 10, 2023 - Oct 10, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
Building Data Lakes on AWS – SCHEDULED, Nov 14, 2023 - Nov 14, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
Building Data Lakes on AWS – SCHEDULED, Dec 12, 2023 - Dec 12, 2023 (1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
Building Data Lakes on AWS – SCHEDULED, Aug 20, 2024 - Aug 20, 2024 (1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
SKU: AWS-DA-DL Categories: , ,

Description

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.

Overview

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.

Skills Gained

In this course, you will learn how 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

Audience

Who Can Benefit

This course is intended for:

  • Data platform engineers
  • Solutions Architects
  • IT professionals

Suggested Prerequisites

Prerequisites

We recommend that attendees of this course have:

  • Working knowledge of core AWS services and public cloud implementation
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
  • Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS

Topics

Course Details

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

Description

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.

Overview

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.

Skills Gained

In this course, you will learn how 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

Audience

Who Can Benefit

This course is intended for:

  • Data platform engineers
  • Solutions Architects
  • IT professionals

Suggested Prerequisites

Prerequisites

We recommend that attendees of this course have:

  • Working knowledge of core AWS services and public cloud implementation
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
  • Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS

Topics

Course Details

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

Related Courses…

You may also like

© 2021 . All rights reserved.TAM Training

TOP
0