Building Data Lakes on AWS Training Overview

Building Data Lakes on AWS Training Course Outline

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, Cataloguing, 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 Catalogue
  • 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 Analyse 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
  • Visualize Data with Amazon QuickSight
  • Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints
  • Lab 4: Data Visualization Using Amazon QuickSight

Show moredowndown

Who should attend this Building Data Lakes on AWS Training Course?

The Building Data Lakes on AWS Course in the United States is designed for a wide range of professionals who are involved in designing, building, and managing data lakes on the AWS cloud platform. The following professionals can greatly benefit from attending this course:

  • Data Engineers
  • Database Administrators
  • Data Analysts
  • Data Scientists
  • Solution Architects
  • DevOps Engineers
  • Business Intelligence Professionals

Prerequisites of the Building Data Lakes on AWS Builders Training Course

Before attending this Building Data Lakes on AWS Course in the United States, delegates should have completed AWS Technical Essentials Training.

Building Data Lakes on AWS Training Course Overview

Building Data Lakes on AWS is a crucial training course that introduces professionals to the concept of Data Lakes, a central repository capable of storing vast amounts of unstructured and structured data. With the prominence of Amazon Web Services (AWS) as a leading cloud platform, this course is highly relevant for businesses seeking comprehensive solutions for collecting, storing, and analyzing data at any scale and cost-effectively.

Professionals who should aim at mastering Building Data Lakes on AWS include operational support engineers, cloud software engineers, AWS solutions architects, and others seeking roles in data management and analytics. Acquiring expertise in AWS Lake Formation positions individuals for significant job titles and competitive compensation in the United States.

The Knowledge Academy's 1-day training in the United States on Building Data Lakes on AWS is designed to provide a comprehensive understanding of AWS Lake Formation. Delegates will delve into topics such as data lake and warehouse comparison, data formatting, partitioning, compression for efficient storage and query, AWS Lake Formation security model, and components of a data lake.

Course Objectives

  • To compare and describe data lakes and warehouses
  • To identify data formatting, partitioning, and compression for efficient storage and query
  • To understand the AWS Lake Formation security model
  • To describe the components of a data lake
  • To recognize common architectures built on data lakes
  • To visualize data with Amazon QuickSight

Upon completing this course in the United States, delegates will benefit by gaining practical insights into optimizing the cost and performance of Data Lakes on AWS. They will acquire the skills necessary to navigate the complexities of data storage, security, and analytics within AWS Lake Formation, enhancing their proficiency for roles in data management and AWS solutions architecture.

Show moredowndown

What’s included in this Building Data Lakes on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Building Data Lakes on AWS Certificate
  • Digital Delegate Pack

Show moredowndown

Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Building Data Lakes on AWS Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Building Data Lakes on AWS Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Building Data Lakes on AWS Training FAQs

Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services to different corporations on a pay per use basis. It provides a hypothetical technical infrastructure with distributed computing building blocks, tools, and services.
To attend this Building Data Lakes on AWS Training course, delegates should have an understanding of the Fundamentals of Data Analytics.
This Building Data Lakes on AWS training course is suitable for all individuals who want to gain insights into the components to build an AWS Data Lake efficiently.
Flexibility, scalable and elastic, cost-effective, secure, and reliable privacy are the features of AWS.
Storage and backup, websites, gaming, and mobile, web and social applications are the applications of AWS.
Attending this Building Data Lakes on AWS training course will give you elaborated information about visualising data with Amazon QuickSight, applying security and access controls to AWS Lake Formation, etc. They will also learn about automating AWS Lake Formation using blueprints and workflows, recognise how data processing applies to a data lake, and many other related topics.
The training fees for Building Data Lakes on AWS Training certification in the United States starts from $995
The Knowledge Academy is the Leading global training provider for Building Data Lakes on AWS Training.
Show more down

Why choose us

icon

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

santander logo
bmw Logo
Google Logo
backBack to course information

Get a custom course package

We may not have any package deals available including this course. If you enquire or give us a call on +1 7204454674 and speak to our training experts, we should be able to help you with your requirements.

cross

OUR BIGGEST SUMMER SALE!

Special Discounts

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.