Deploy accurate, scalable data distribution with Hazelcast using Packt’s New Book and eBook

October 2013 | Open Source, Web Development

Packt is pleased to announce the release of its new book Getting Started with Hazelcast, a concise and powerful guide that will arm the reader with all the knowledge required to start bringing data scalability to their applications. This hands-on guide to Hazelcast will empower the reader to learn and master all the innovative features this new technology has to offer. The print book is competitively priced at $29.99, whilst the eBook and Kindle versions are available for $20.99 in all the popular formats.

<p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;"><b>About the Author:</b> Mat Johns is a London-based agile software engineer, hands-on architect, and general technologist. He has a Master&rsquo;s degree in Computer Science with Distributed Systems and Networks from the University of Southampton. He has worked for a number of startups on various web projects and is currently involved in designing and creating high performance and scalable web services for Internet TV applications.</span></span></p> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;">Hazelcast is an incredibly popular and innovative service that includes new and improved features such as efficient cluster management and multi-layer data scalability.</span></span></p> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;">Getting Started with Hazelcast looks at the issue of data scalability and how traditional approaches tend to work around the problem to reduce it. Packed with plenty of practical examples, the book shows readers how to store distributed data quickly and safely. The book effectively teaches readers to run tasks across the cluster, use support for public cloud infrastructure, and understand the architecture to make best use of this technology.</span></span></p> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;">The book also helps readers discover other important aspects of data scalability such as setting up Hazelcast cluster, developing a cluster-wide mutex lock, distributed messaging topic and running tasks within and across the cluster.</span></span></p> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;">Java developers, software architects, or developers with little knowledge of Java and data caching and clustering concepts who are hoping to enable scalable and agile data within their applications will find this book an indispensable resource. For more details, please visit the book page at <a href=""></a></span></span></p> <table style="font-weight: bold;" id="table4" border="0" cellpadding="2" cellspacing="0" width="100%"> <tbody> <tr> <td bgcolor="#ffff99"><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans- serif;">Getting Started with Hazelcast</span></span></td> </tr> </tbody> </table> <table id="table3" border="0" cellpadding="4" cellspacing="0"> <tbody> <tr> <td width="48"><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;"><img src="" border="0" /></span></span></td> <td valign="top"><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans- serif;">Understand how to revolutionize the way you share data across your application</span></span> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;">For more information, please visit: <a href="" title="Getting Started with Hazelcast"></a></span></span></p> </td> </tr> </tbody> </table> <p><span style="font-size: small;"><span style="font-family: tahoma,arial,helvetica,sans-serif;"><br /><br /></span></span></p>
Code Download and Errata
Packt Anytime, Anywhere
Register Books
Print Upgrades
eBook Downloads
Video Support
Contact Us
Awards Voting Nominations Previous Winners
Judges Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software
Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software