Data is the important constituent in an organization's analytics; each characteristic of an organization's information is maintained in a field that is ubiquitous and aids in capturing, reviewing, transforming, and combining the facts that make business analytical problems. Audit information, in an organization, builds up over time and helps in business forecasting and planning; it is essential in this competitive world. Such information captured across organizations grows rapidly. It becomes difficult for organizations to maintain it in a relational database. With the advent of mobile-based applications and social media networking services, especially in the field of banking and the e-commerce domain, the ability to process data at lightening speed causes it to be both unstructured (data in no format related to RDBMS storage, such as text and multimedia) and semi-structured (data where the format is partly related to RDBMS storage such as CSV, XML, and JSON); this is termed...
Distributed Computing in Java 9
Distributed Computing in Java 9
Overview of this book
Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9.
After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases.
Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Customer Feedback
Free Chapter
Quick Start to Distributed Computing
Communication between Distributed Applications
RMI, CORBA, and JavaSpaces
Enterprise Messaging
HPC Cluster Computing
Distributed Databases
Cloud and Distributed Computing
Big Data Analytics
Testing, Debugging, and Troubleshooting
Customer Reviews