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Название: DynamoDB Cookbook

Автор:Tanmay Deshpande

Издательство: PACKT

Год: 2015

Страниц: 266

Язык: English

Формат: epub+code

Размер: 7,8 Mb

This book is intended for those who have a basic understanding of AWS services and want to take their knowledge to the next level by getting their hands dirty with coding recipes in DynamoDB.

About This Book

Construct top-notch mobile and web applications with the Internet scalable NoSQL database and host it on cloud

Integrate your applications with other AWS services like AWS EMR, AWS S3, AWS Redshift, and AWS CloudSearch etc. in order to achieve a one-stop application stack

Step-by-step implementation guide that provides real-world use with hands-on recipes

Who This Book Is For

This book is intended for those who have a basic understanding of AWS services and want to take their knowledge to the next level by getting their hands dirty with coding recipes in DynamoDB.

Table of Contents

1: Taking Your First Steps with DynamoDB

2: Operating with DynamoDB Tables

3: Manipulating DynamoDB Items

4: Managing DynamoDB Indexes

5: Exploring Higher Level Programming Interfaces for DynamoDB

6: Securing DynamoDB

7: DynamoDB Best Practices

8: Integrating DynamoDB with other AWS Services

9: Developing Web Applications using DynamoDB

10: Developing Mobile Applications using DynamoDB

What You Will Learn

Design DynamoDB tables to achieve high read and write throughput

Discover best practices like caching, exponential back-offs and auto-retries, storing large items in AWS S3, storing compressed data etc.

Effectively use DynamoDB Local in order to make your development smooth and cost effective

Implement cost effective best practices to reduce the burden of DynamoDB charges

Create and maintain secondary indexes to support improved data access

Integrate various other AWS services like AWS EMR, AWS CloudSearch, AWS Pipeline etc. with DynamoDB

In Detail

AWS DynamoDB is an excellent example of a production-ready NoSQL database. In recent years, DynamoDB has been able to attract many customers because of its features like high-availability, reliability and infinite scalability. DynamoDB can be easily integrated with massive data crunching tools like Hadoop /EMR, which is an essential part of this data-driven world and hence it is widely accepted. The cost and time-efficient design makes DynamoDB stand out amongst its peers. The design of DynamoDB is so neat and clean that it has inspired many NoSQL databases to simply follow it.

This book will get your hands on some engineering best practices DynamoDB engineers use, which can be used in your day-to-day life to build robust and scalable applications. You will start by operating with DynamoDB tables and learn to manipulate items and manage indexes. You will also discover how to easily integrate applications with other AWS services like EMR, S3, CloudSearch, RedShift etc. A couple of chapters talk in detail about how to use DynamoDB as a backend database and hosting it on AWS ElasticBean. This book will also focus on security measures of DynamoDB as well by providing techniques on data encryption, masking etc.

By the end of the book you’ll be adroit in designing web and mobile applications using DynamoDB and host it on cloud.

Authors

Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Symantec Corporation as a senior software engineer in Pune, India. He has interests in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as finance, telecom, manufacturing, security, and retail. He enjoys solving machine learning problems and likes to spend his time reading anything that he can get his hands on. He has a great interest in open source technologies and has been promoting them through his talks. He has been invited to various colleges to conduct brainstorming sessions with students on the latest technologies.

Before Symantec Corporation, he worked with Infosys, where he worked as the lead Big Data/ Cloud developer. He was a core team member of the Infosys Big Data Edge platform. Through his innovative thinking and dynamic leadership, he successfully completed various projects.

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