Enhance your in-house PHP CMS with jQuery using Packt's new book
Packt is pleased to announce CMS DEsign Using PHP and jquery, a new book that describes how to use PHP, MySQL, and jQuery to build an entire CMS from the ground up, complete with plugin architecture, user management, template-driven website design, and an installer. Written by Kae Verens, this book is a step-by-step explanatory tutorial to get your hands dirty in building your own CMS.
PHP is a widely used, general-purpose scripting language that was originally designed for web development to produce dynamic web pages, whereas jquery is a fast and concise JavaScript Library that simplifies HTML document traversing, event handling, animating, and Ajax interactions for rapid web development.
CMS Design Using PHP and jquery helps developers to leverage the power of PHP and jquery by building a core CMS, which can be used for most projects without needing to be changed. They can add custom plugins that can then be tailored to the individual project as well as create their own plugin architecture.
Through this book developers will learn how panels work, and use them to make flexible drag-and-drop layouts with widgets. They will also learn how to create an installer, using virtual machines for the test environment of their CMS. This step-by-step explanatory tutorial would help them enhance their administration forms using jQuery as well as manage users, using e-mail verification, hashes, and captchas.
Web developers who have written multiple scripts or websites and want to combine PHP with jquery in order to effectively create a large project that is user-friendly and flexible, would find this book an interesting and beneficial read. This book is out now and available from Packt. For more information please visit www.packtpub.com/cms-design-using-php-and-jquery/book
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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