Mastering DynamoDB : master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability / Tanmay Deshpande ; foreword by Constancio Fernandes, Sr. ; cover image by Pratyush Mohanta.

Format:

Book

Author/Creator:

Deshpande, Tanmay, author.

Fernandes, Constancio, author of introduction, etc.

Contributor:

Mohanta, Pratyush, cover designer.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

Non-relational databases.

SQL (Computer program language).

Physical Description:

1 online resource (236 p.)

Edition:

1st edition

Place of Publication:

Birmingham, England : Packt Publishing, 2014.

Language Note:

English

System Details:

text file

Biography/History:

Deshpande Tanmay: Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest 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 oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http: //hadooptutorials. co. in. You can connect with him on LinkedIn at https: //www. linkedin. com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.

Summary:

Master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability In Detail This book is a practical, example-oriented guide that begins with an introduction to DynamoDB, how it started, what it is, and its features. It then introduces you to DynamoDB's data model, demonstrating CRUD operations on the data model. Once you get an understanding of the data model, you will be able to dive deep into the DynamoDB architecture to understand its flexibility, scalability, and reliability. The book also gives you plenty of best practices you should follow in order to achieve time and cost efficiency. Later, you will explore some advanced topics such as CloudWatch Monitoring, the AWS security token service, and the use of IAM to perform access control management. The book discusses a variety of use cases that will help you get a practical sense of DynamoDB. Finally, the book ends with a discussion on using DynamoDB as a backend for Android/iOS mobile applications with sample code that will help you build your own applications. What You Will Learn Comprehend the DynamoDB data model and how to build the efficient schema of DynamoDB tables Decipher the architecture of DynamoDB and its core features Understand how DynamoDB manages ring membership and handles partial failures Get acquainted with the AWS security token service and learn how DynamoDB deals with authentication and authorization Integrate DynamoDB with other AWS services in order to form a complete application ecosystem on AWS Cloud Explore third-party tools and libraries to efficiently use DynamoDB to help to autoscale, test, and back up/archive Familiarize yourself with mobile application development using DynamoDB at the backend Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.

Contents:

Intro

Mastering DynamoDB

Table of Contents

Credits

Foreword

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Getting Started

DynamoDB's history

What is DynamoDB?

Data model concepts

Operations

Table operations

Item operations

The Query and Scan operations

Provisioned throughput

DynamoDB features

Fully managed

Durable

Scalable

Fast

Simple administration

Fault tolerance

Flexible

Indexing

Secure

Cost effective

How do I get started?

Creating a DynamoDB table using the AWS management console

DynamoDB Local

Summary

2. Data Models

Primary key

Hash primary key

Hash and range primary key

Secondary indexes

Local secondary index

Global secondary index

Data types

Scalar data types

String

Number

Binary

Multivalued data types

Operations on tables

Using the AWS SDK for Java

Create table

Update table

Delete table

List tables

Using the AWS SDK for .NET

Using the AWS SDK for PHP

Operations on items

Strong versus eventual consistency

Eventual consistency

Conditional writes

Item size calculations

Put item

Get item

Update item

Delete item

Batch get items

Batch write items

Delete item.

BatchGetItems

BatchWriteItems

The putItem method

The getItem method

The updateItem method

The deleteItem method

The batchGetItem API

The batchWriteItems API

Query and scan operations

Query versus scan

Pagination

Limit and counts

Parallel scan

Querying tables

PHP API

Scanning tables

Modeling relationships

One to one

One to many

Many to many

3. How DynamoDB Works

Service-oriented architecture

Design features

Data replication

Conflict resolution

Scalability

Symmetry

Flexibility

Architecture

Load balancing

Data versioning and reconciliation

Logic-based reconciliation

Time-based reconciliation

Request handling

Handling failures

Ring membership

Seed nodes

Functional components

Request coordinator

Membership failure and detection

Local persistence store

4. Best Practices

Table level best practices

Choosing a primary key

Evenly distributed data upload

Managing time series data

Item best practices

Caching

Storing large attribute values

Using compressions

Using AWS S3

Using multiple chunks

Blog table

Body chunks table

Implementing one-to-many relationship

Inefficient approach

Better and efficient approach

Query and scan best practices

Maintaining even read activity

Using parallel scans

Local secondary indexes best practices

Global secondary index best practices

5. Advanced Topics

Monitoring DynamoDB tables

AWS Management Console

CloudWatch API

A command-line interface

Using IAM to provide access control to DynamoDB.

How to use IAM for DynamoDB

Sample IAM policies

Providing read-only access to items from all DynamoDB tables

Restrict users from deleting all the tables and items from a table

Allowing you to place and update an item on a single table

Allowing access to all indexes of a particular table

Allowing all DynamoDB actions to all the tables

Fine-grained access control

Sample fine-grained access control policies

Restricting access to only specific hash value

Restricting access to only specific attributes of a table

Allowing a query on only specific projected attributes in index

Web identity federation

Limitations in DynamoDB

Error handling

Type of errors

Catching error information

Auto retries and exponential back-offs

6. Integrating DynamoDB with Other AWS Components

Integrating with AWS EMR

Exporting data from DynamoDB

Export data to AWS S3

Formatted data export

Compressed data export

Export data to EMR - HDFS

Querying DynamoDB data

Getting the total count of employees in Employee table

Getting the total count of employees department wise

Joining two DynamoDB tables

Joining tables from DynamoDB and S3

Importing data into DynamoDB

Importing data from AWS S3

Importing data from HDFS

Performance considerations while using EMR with DynamoDB

Integrating with AWS Redshift

Automatic compression and sampling

Integrating with AWS CloudSearch

Configuring CloudSearch domain

Using AWS management console

Using command-line tools

Export data from DynamoDB to CloudSearch

Using command line tools

7. DynamoDB - Use Cases

Bookstore application

Technology stack

DynamoDB data model

Implementation

Integration with other AWS components.

Deployment

Knowledge market website

Integration with other AWS components

Deployment

8. Useful Libraries and Tools

Libraries

Transaction library

Atomic writes

Isolated reads

Geo library

Query rectangle

Query radius

Language-specific libraries

Java

Jsoda

Phoebe

Jcabi

.NET

Node.js

Perl

Net::Amazon::DynamoDB

Ruby

Fog

mince_dynamodb

dynamoid

Others

Tools

Tools for testing

Fake DynamoDB

Injecting failures

Tools for auto-scaling

Dynamic DynamoDB

Tools for backup and archival

DynamoDB Table Archiver

9. Developing Mobile Apps Using DynamoDB

Authentication and Authorization

Using Web Identity Federation

Creating your own custom authentication

Performing operations using mobile SDKs

Writing data to DynamoDB

Android

iOS

Getting consumed capacity information

Deleting an item

Fetching data

Querying data

Consistent reads

Using local secondary indexes

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed September 5, 2014).

ISBN:

9781783551965

1783551968

OCLC:

889675877