Book Image

Amazon EC2 Cookbook

Book Image

Amazon EC2 Cookbook

Overview of this book

Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop’s internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.
Table of Contents (15 chapters)
Amazon EC2 Cookbook
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Introduction


Typical multi-tier cloud applications are built using one or more of the AWS data services. These data services include options for both relational and NoSQL workloads. Running and operating NoSQL and relational database servers on premise not only adds to your operations and administrative burden, but also towards the overall cost. AWS provides these highly available and scalable services out of the box. These services have their own programming SDKs to support several different languages such as C#, Java, and others. AWS data services include SimpleDB and DynamoDB NoSQL workloads and AWS ElastiCache for in-memory caching as a service. For relational database workloads, AWS provides the RDS service that is essentially a relational database service.

This chapter focuses on recipes for using these services from Java.