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What is a Data Lake?

Contents

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Course Introduction
1
Introduction
PREVIEW2m 22s
RDS vs. EC2
7
RDS vs. EC2
PREVIEW9m 33s
DynamoDB Accelerator

The course is part of this learning path

What is a Data Lake?
Difficulty
Intermediate
Duration
4h 11m
Students
107
Ratings
5/5
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Description

This section of the AWS Certified Solutions Architect - Professional learning path introduces you to the AWS database services relevant to the SAP-C02 exam. We then understand the service options available and learn how to select and apply AWS database services to meet specific design scenarios relevant to the AWS Certified Solutions Architect - Professional exam. 

Want more? Try a Lab Playground or do a Lab Challenge

Learning Objectives

  • Understand the various database services that can be used when building cloud solutions on AWS
  • Learn how to build databases using Amazon RDS, DynamoDB, Redshift, DocumentDB, Keyspaces, and QLDB
  • Learn how to create ElastiCache and Neptune clusters
  • Understand which AWS database service to choose based on your requirements
  • Discover how to use automation to deploy databases in AWS
  • Learn about data lakes and how to build a data lake in AWS
Transcript

What is a data lake? A data lake is a place for your business or enterprise to store and collect data. The data you store in your data lake may be structured or unstructured, meaning it can have a defined schema or not. 

The goal of our data lake is to have a single place where all of our business information can exist, and eventually, we can have some type of analytics performed on it. This data can be from our transactional systems and line of business applications. It could also be from various IoT devices, mobile applications, and even social media.

Companies that are able to aggregate, and work on their data, and derive meaning from it will be able to outperform their peers. These companies might do so through the use of generic data analytics or even by using machine learning to provide valuable insights.

This is why it is important to manage and create a safe place for all your data to live, A.K.A. a data lake.

 

About the Author
Students
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Danny has over 20 years of IT experience as a software developer, cloud engineer, and technical trainer. After attending a conference on cloud computing in 2009, he knew he wanted to build his career around what was still a very new, emerging technology at the time — and share this transformational knowledge with others. He has spoken to IT professional audiences at local, regional, and national user groups and conferences. He has delivered in-person classroom and virtual training, interactive webinars, and authored video training courses covering many different technologies, including Amazon Web Services. He currently has six active AWS certifications, including certifications at the Professional and Specialty level.