Book Image

AWS Certified Solutions Architect ??? Associate Guide

By : Gabriel Ramirez, Stuart Scott
Book Image

AWS Certified Solutions Architect ??? Associate Guide

By: Gabriel Ramirez, Stuart Scott

Overview of this book

Amazon Web Services (AWS) is currently the leader in the public cloud market. With an increasing global interest in leveraging cloud infrastructure, the AWS Cloud from Amazon offers a cutting-edge platform for architecting, building, and deploying web-scale cloud applications. As more the rate of cloud platform adoption increases, so does the need for cloud certification. The AWS Certified Solution Architect – Associate Guide is your one-stop solution to gaining certification. Once you have grasped what AWS and its prerequisites are, you will get insights into different types of AWS services such as Amazon S3, EC2, VPC, SNS, and more to get you prepared with core Amazon services. You will then move on to understanding how to design and deploy highly scalable applications. Finally, you will study security concepts along with the AWS best practices and mock papers to test your knowledge. By the end of this book, you will not only be fully prepared to pass the AWS Certified Solutions Architect – Associate exam but also capable of building secure and reliable applications.
Table of Contents (26 chapters)
22
Mock Test 1
23
Mock Test 2

Introducing Amazon Elastic MapReduce

The volume of data created by mankind is increasing massively. In the last two years, we have created more data than in the previous history of the human race—unstructured data grows every second. This is why new paradigms must be used to properly manage it.

The term big data is used more and more frequently, but what exactly is big data? How big is big data? It all depends on the perspective. Imagine a small company that works with spreadsheets accumulating data every year to the point where this tool is no longer useful. The company needs a new strategy such as relational databases and ERP software.

This same analogy works for big companies. Big data is using non-traditional methods to analyze vast amounts of information from different sources and types. Latency plays an important role in the big-data pipeline, because, depending on...