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Building Data Lakes on AWS

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

Course Schedule

Building Data Lakes on AWS

$675.00

SCHEDULED, Aug.20.2024 – Aug.20.2024 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Sep.17.2024 - Sep.17.2024 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Nov.12.2024 – Nov.12.2024 (1 day), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Jul.15.2025 - Jul.15.2025 ( 1 day), 09:00 AM - 05:00 PM US Eastern
$675.00
$675.00
$675.00
$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.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Overview

Do you want to develop business insights from siloed data stores with the help of a data lake? Our new one-day classroom course, Building Data Lakes on AWS, will help you practice building and securing a data lake in a hands-on environment. An expert instructor will also teach you how to optimize for cost and performance.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

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:

  • Completed the AWS Technical Essentials classroom course
  • 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

What you’ll learn

  • 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
  • And much more

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.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

Overview

Do you want to develop business insights from siloed data stores with the help of a data lake? Our new one-day classroom course, Building Data Lakes on AWS, will help you practice building and securing a data lake in a hands-on environment. An expert instructor will also teach you how to optimize for cost and performance.

This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.

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:

  • Completed the AWS Technical Essentials classroom course
  • 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

What you’ll learn

  • 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
  • And much more

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