| Java EE 7 Essentials Posted: 18 Sep 2013 08:53 AM PDT 
Book Description Get up to speed on the principal technologies in the Java Platform, Enterprise Edition 7, and learn how the latest version embraces HTML5, focuses on higher productivity, and provides functionality to meet enterprise demands. Written by Arun Gupta, a key member of the Java EE team, this book provides a chapter-by-chapter survey of several Java EE 7 specifications, including WebSockets, Batch Processing, RESTful Web Services, and Java Message Service. You'll also get self-paced instructions for building an end-to-end application with many of the technologies described in the book, which will help you understand the design patterns vital to Java EE development. - Understand the key components of the Java EE platform, with easy-to-understand explanations and extensive code samples
- Examine all the new components that have been added to Java EE 7 platform, such as WebSockets, JSON, Batch, and Concurrency
- Learn about RESTful Web Services, SOAP XML-based messaging protocol, and Java Message Service
- Explore Enterprise JavaBeans, Contexts and Dependency Injection, and the Java Persistence API
- Discover how different components were updated from Java EE 6 to Java EE 7
Table of Contents
Chapter 1. Java Platform, Enterprise Edition
Chapter 2. Servlets
Chapter 3. JavaServer Faces
Chapter 4. RESTful Web Services
Chapter 5. SOAP-Based Web Services
Chapter 6. JSON Processing
Chapter 7. WebSocket
Chapter 8. Enterprise JavaBeans
Chapter 9. Contexts and Dependency Injection
Chapter 10. Concurrency Utilities
Chapter 11. Bean Validation
Chapter 12. Java Transaction
Chapter 13. Java Persistence
Chapter 14. Java Message Service
Chapter 15. Batch Processing
Chapter 16. Build an End-to-End Application Book Details - Paperback: 362 pages
- Publisher: O’Reilly Media (August 2013)
- Language: English
- ISBN-10: 1449370179
- ISBN-13: 978-1449370176
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| SDN: Software Defined Networks Posted: 18 Sep 2013 08:50 AM PDT 
Book Description Explore the emerging definitions, protocols, and standards for SDN—software-defined, software-driven, programmable networks—with this comprehensive guide. Two senior network engineers show you what's required for building networks that use software for bi-directional communication between applications and the underlying network infrastructure. This vendor-agnostic book also presents several SDN use cases, including bandwidth scheduling and manipulation, input traffic and triggered actions, as well as some interesting use cases around big data, data center overlays, and network-function virtualization. Discover how enterprises and service providers alike are pursuing SDN as it continues to evolve. - Explore the current state of the OpenFlow model and centralized network control
- Delve into distributed and central control, including data plane generation
- Examine the structure and capabilities of commercial and open source controllers
- Survey the available technologies for network programmability
- Trace the modern data center from desktop-centric to highly distributed models
- Discover new ways to connect instances of network-function virtualization and service chaining
- Get detailed information on constructing and maintaining an SDN network topology
- Examine an idealized SDN framework for controllers, applications, and ecosystems
Table of Contents
Chapter 1. Introduction
Chapter 2. Centralized and Distributed Control and Data Planes
Chapter 3. OpenFlow
Chapter 4. SDN Controllers
Chapter 5. Network Programmability
Chapter 6. Data Center Concepts and Constructs
Chapter 7. Network Function Virtualization
Chapter 8. Network Topology and Topological Information Abstraction
Chapter 9. Building an SDN Framework
Chapter 10. Use Cases for Bandwidth Scheduling, Manipulation, and Calendaring
Chapter 11. Use Cases for Data Center Overlays, Big Data, and Network Function Virtualization
Chapter 12. Use Cases for Input Traffic Monitoring, Classification, and Triggered Actions
Chapter 13. Final Thoughts and Conclusions Book Details - Paperback: 384 pages
- Publisher: O’Reilly Media (August 2013)
- Language: English
- ISBN-10: 1449342302
- ISBN-13: 978-1449342302
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| Programming for PaaS Posted: 18 Sep 2013 08:46 AM PDT 
Book Description Platform-as-a-Service (PaaS) is gaining serious traction among web and mobile developers, but as new PaaS providers emerge and existing vendors upgrade their features, it's hard to keep track of what PaaS has to offer. This thorough introduction takes you through the PaaS model from a developer's point of view, and breaks down the types of services that Google App Engine, Windows Azure, Heroku, Cloud Foundry, and others deliver. Whether you're an entrepreneur or part of a large enterprise development team, this book shows you how PaaS can help you focus on innovative applications, rather than spend your time worrying about technical operations. - Track the cloud's evolution from IaaS and DevOps to PaaS
- Learn how PaaS combines the simplicity of shared web hosting with the control of dedicated hosting
- Explore the benefits of both portable and non-portable PaaS options
- Apply best practices for moving legacy apps to PaaS—and understand the challenges involved
- Write new applications for PaaS from scratch with RESTful meta-services
- Use PaaS to build mobile apps with backend services that scale
- Examine the core services that each major provider currently offers
- Learn the situations in which PaaS might not be advantageous
Table of Contents
Chapter 1. The Cloud for Developers
Chapter 2. What Is PaaS?
Chapter 3. Types of PaaS
Chapter 4. Moving Legacy Apps to PaaS
Chapter 5. Writing New Apps for PaaS
Chapter 6. Mobile Apps on PaaS
Chapter 7. A Look at Core Services
Chapter 8. Why Not PaaS?
Chapter 9. The Future of PaaS
Chapter 10. Resources Book Details - Paperback: 144 pages
- Publisher: O’Reilly Media (July 2013)
- Language: English
- ISBN-10: 1449334903
- ISBN-13: 978-1449334901
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| Data Science for Business Posted: 18 Sep 2013 08:43 AM PDT 
Book Description Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. - Understand how data science fits in your organization—and how you can use it for competitive advantage
- Treat data as a business asset that requires careful investment if you're to gain real value
- Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
- Learn general concepts for actually extracting knowledge from data
- Apply data science principles when interviewing data science job candidates
Table of Contents
Chapter 1. Introduction: Data-Analytic Thinking
Chapter 2. Business Problems and Data Science Solutions
Chapter 3. Introduction to Predictive Modeling: From Correlation to Supervised Segmentation
Chapter 4. Fitting a Model to Data
Chapter 5. Overfitting and Its Avoidance
Chapter 6. Similarity, Neighbors, and Clusters
Chapter 7. Decision Analytic Thinking I: What Is a Good Model?
Chapter 8. Visualizing Model Performance
Chapter 9. Evidence and Probabilities
Chapter 10. Representing and Mining Text
Chapter 11. Decision Analytic Thinking II: Toward Analytical Engineering
Chapter 12. Other Data Science Tasks and Techniques
Chapter 13. Data Science and Business Strategy
Chapter 14. Conclusion Appendix A. Proposal Review Guide
Appendix B. Another Sample Proposal Book Details - Paperback: 408 pages
- Publisher: O’Reilly Media (July 2013)
- Language: English
- ISBN-10: 1449361323
- ISBN-13: 978-1449361327
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