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  • Book Overview & Buying AWS Certified Solutions Architect ??? Associate Guide
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AWS Certified Solutions Architect ??? Associate Guide

AWS Certified Solutions Architect ??? Associate Guide

By : Gabriel Ramirez Isaias Ramirez Melgarejo, Stuart Scott
3.4 (7)
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AWS Certified Solutions Architect ??? Associate Guide

AWS Certified Solutions Architect ??? Associate Guide

3.4 (7)
By: Gabriel Ramirez Isaias Ramirez Melgarejo, 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)
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22
Mock Test 1
23
Mock Test 2

Elastic MapReduce

Elastic MapReduce (EMR) is a fully-managed cluster platform for running big-data and analytics frameworks such as Apache Hadoop, Spark, HBase, Presto, Impala, Cascading, and Flink. Running Hadoop clusters is a complex and time-consuming task. EMR provisions the cluster and installs frequently used frameworks for data scientists, analysts, and engineers.

EMR provides the flexibility to bootstrap your cluster, with a series of steps defined by the customer to install, configure, and prepare your data to be processed. EMR can use the Hadoop distributed file system on EBS volumes or EMRFS with Amazon S3 as the backing persistence service.

EMR clusters have a variety of use cases, from ETL and batch processing to real-time applications integrating Amazon Firehose or Apache Spark, and a wide number of connectors and integration architectures. Clusters on EMR can be...

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