Book Image

Implementing AWS: Design, Build, and Manage your Infrastructure

By : Yohan Wadia, Rowan Udell, Lucas Chan, Udita Gupta
Book Image

Implementing AWS: Design, Build, and Manage your Infrastructure

By: Yohan Wadia, Rowan Udell, Lucas Chan, Udita Gupta

Overview of this book

With this Learning Path, you’ll explore techniques to easily manage applications on the AWS cloud. You’ll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It’ll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you’ll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: • AWS Administration: The Definitive Guide, Second Edition by Yohan Wadia • AWS Administration Cookbook by Rowan Udell, Lucas Chan • Mastering AWS Lambda by Yohan Wadia, Udita Gupta
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Understanding the AWS analytics suite of services


With the growth of big data and its adoption across organizations on the rise, many cloud providers today provide a plethora of services that are specifically designed to run massive computations and analytics on large volumes of data. AWS is one such cloud provider that also has invested a lot into the big data and analytics paradigm with a host of services offering ready-to-use frameworks, business insights and data warehousing solutions, as well. Here is a brief explanation of the AWS analytics suite of services:

  • Amazon EMR: Amazon Elastic MapReduce or EMR is a quick and easy to use service that provides users with a scalable, managed Hadoop ecosystem and framework. You can leverage EMR to process vast amounts of data without having to worry about configuring the underlying Hadoop platform. We will be learning and exploring more on EMR in the subsequent sections of this chapter.
  • Amazon Athena: Amazon Athena takes big data processing up a...