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You're reading from Learning AWS Design, build, and deploy responsive applications using AWS Cloud components

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787281066

Length 412 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Amit Shah

Aurobindo Sarkar

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Table of Contents (12) Chapters

Preface

1. Cloud 101 – Understanding the Basics FREE CHAPTER

2. Designing Cloud Applications

3. Introducing AWS Components

4. Designing for and Implementing Scalability

5. Designing for and Implementing High Availability

6. Designing for and Implementing Security

7. Deploying to Production and Going Live

8. Designing a Big Data Application

9. Implementing a Big Data Application

10. Deploying a Big Data System

11. Other Books You May Enjoy

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Introducing big data applications

Big data applications require the ability to ingest and store massive amounts of structured and unstructured data. We also need to be able access and/or process the data flexibly and securely. Additionally, we would like to future proof our big data solution (design and implementation) against rapidly evolving business use cases and technology.

There are three typical types of data-driven development:

Historical analysis and reporting supported by using services such as Amazon Redshift, Amazon RDS, Amazon S3, and Amazon EMR
Real-time processing and dashboards supported by using services such as Amazon Kinesis, Amazon EC2, and AWS Lambda
Intelligent applications supported by using services such as Amazon Deep Learning AMI, Amazon machine learning, and Amazon SageMaker

Traditionally, batch processing has been used to process massive volumes of...

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Authors (2)

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

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Shah

Snehal Shah has extensive experience in implementing enterprise web applications using J2EE technologies. He is the co-founder of Techforce Infotech where he has worked on various J2EE based solutions, various open source product customizations, and worked on business expansion. He was also involved in building a team and finalizing the technology path for the organization. At his previous employer, CIGNEX Datamatics, he rolled out numerous Alfresco deployments worldwide in the areas of document management, web content management, and Share. He has also worked on application-based Liferay and Moodle products. Prior to CIGNEX, he has worked on various J2EE-based solutions using cutting edge technologies. He has worked with clients in education, legal, and marketing domains across the world. He has worked on defining architecture for various projects, which involves multiple product integrations. In his previous organizations, he was involved in deciding the technology path of the organization and was also involved in various internal technical training. He holds a Bachelors Degree in Computer Engineering from Deemed University, DDIT India. He has also worked as a Technical Reviewer for the books Alfresco 3 Cookbook and Alfresco Share.

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