Wydawca: 24
Edwin Schouten
IBM, the oldest technology company in the world, has a wide variety of powerful cloud services to offer from its IBM SmartCloud portfolio. Being able to differentiate them, and knowing how to use them efficiently gives you a competitive advantage over others.Starting with the basics of cloud computing, this guide covers the wide range of cloud components, services, and solutions in the IBM SmartCloud portfolio. Following on from this, you'll be introduced to the public , Infrastructure as a Service (IaaS) cloud service - IBM SmartCloud Enterprise; before peeking into the future of IBM cloud services. Using this book, you will discover the advantage of both traditional enterprise computing and public cloud computing.You will explore IBM's portfolio of cloud computing solutions ranging from infrastructure services (IaaS), to business services (BPaaS), and private to public cloud. You will be taken through a number of in-depth use-cases, examples, and hand-on exercises that will help you to take advantage of infrastructure as a service solution IBM SmartCloud Enterprise quickly and easily.You will learn everything you need to know about the IBM SmartCloud Enterprise, including how to take advantage of cloud computing within your organization.
Keith McCormick, Dean Abbott
IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork.IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art.Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace.Go beyond the basics and get the full power of your data mining workbench with this practical guide.
Keith McCormick, Jesus Salcedo
IBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey. This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler’s easy to learn “visual programming” style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices. This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model’s performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models.
James D. Miller
IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson.The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations.By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience.
Steve Robinson
Administrators require a secure, scalable, and resilient application infrastructure to support the development of JEE applications and SOA services. IBM’s WebSphere Application Server is optimized for this task, and this book will ensure that you can utilize all that this tool has to offer with the exciting new features of IBM WebSphere Application Server 8.0.IBM WebSphere Application Server 8.0 Administration Guide is fully revised with details of the new functionality of WebSphere Application Server 8.0, including the new installation GUI, managed deployment, and HPEL. With this book in hand, you will be equipped to provide an innovative, performance-based foundation to build, run, and manage JEE applications and SOA services.IBM WebSphere Application Server 8.0 has been tuned for higher performance out of the box, and numerous enhancements have been made to give you as an administrator more options for increasing runtime performance. This book will allow you to utilize all of these features, including HPEL logging and disabling WebSphere MQ Messaging. You will be taken through how to configure and prepare WebSphere resources for your application deployments, and by the end of IBM WebSphere Application Server 8.0 Administration Guide, you will be able to successfully manage and tune your WebSphere 8.0 implementation.
Omar P Siliceo (USD)
In these days of high-profile hacking, server security is no less important than securing your application or network. In addition many companies must comply with government security regulations. No matter how secure your application is, your business is still at risk if your server is vulnerable. Here is how you solve your WebSphere server security worries in the best possible way.This tutorial is focused towards ways in which you can avoid security loop holes. You will learn to solve issues that can cause bother when getting started with securing your IBM WebSphere Application Server v7.0 installation. Moreover, the author has documented details in an easy-to-read format, by providing engaging hands-on exercises and mini-projects.The book starts with an in-depth analysis of the global and administrative security features of WebSphere Application Server v7.0, followed by comprehensive coverage of user registries for user authentication and authorization information. Moving on you will build on the concepts introduced and get hands-on with a mini project. From the next chapter you work with the different front-end architectures of WAS along with the Secure Socket Layer protocol, which offer transport layer security through data encryption.You learn user authentication and data encryption, which demonstrate how a clear text channel can be made safer by using SSL transport to encrypt its data. The book will show you how to enable an enterprise application hosted in a WebSphere Application Server environment to interact with other applications, resources, and services available in a corporate infrastructure. Platform hardening, tuning parameters for tightening security, and troubleshooting are some of the aspects of WebSphere Application Server v7.0 security that are explored in the book. Every chapter builds strong security foundations, by demonstrating concepts and practicing them through the use of dynamic, web-based mini-projects.
Anthony Chaves
A data grid is a means of combining computing resources. Data grids provide a way to distribute object storage and add capacity on demand in the form of CPU, memory, and network resources from additional servers. All three resource types play an important role in how fast data can be processed, and how much data can be processed at once. WebSphere eXtreme Scale provides a solution to scalability issues through caching and grid technology. Working with a data grid requires new approaches to writing highly scalable software; this book covers both the practical eXtreme Scale libraries and design patterns that will help you build scalable software.Starting with a blank slate, this book assumes you don't have experience with IBM WebSphere eXtreme Scale. It is a tutorial-style guide detailing the installation of WebSphere eXtreme Scale right through to using the developer libraries. It covers installation and configuration, and discusses the reasons why a data grid is a viable middleware layer. It also covers many different ways of interacting with objects in eXtreme Scale. It will also show you how to use eXtreme Scale in new projects, and integrate it with relational databases and existing applications.This book covers the ObjectMap, Entity, and Query APIs for interacting with objects in the grid. It shows client/server configurations and interactions, as well as the powerful DataGrid API. DataGrid allows us to send code into the grid, which can be run where the data lives. Equally important are the design patterns that go alongside using a data grid. This book covers the major concepts you need to know that prevent your client application from becoming a performance bottleneck. By the end of the book, you'll be able to write software using the eXtreme Scale APIs, and take advantage of a linearly scalable middleware layer.
Chelis Camargo, Helmar Martens
IBM WebSphere® Portal is a cost- effective, scalable, and proven solution for the portal enterprise space. Given the depth and the breadth of WebSphere Portal and the challenges of developing a portal project, you need a book that covers all the nuances of the entire portal project lifecycle. This book accomplishes just that.In this book, we cover topics that range from portal assessment, governance, and architecture, to design and development. These topics are covered not only within these traditional areas, but also within the cloud environment context. Keeping both contexts in mind, several chapters are dedicated to portal and portlet testing, troubleshooting, performance monitoring, best practices, and tuning. The cloud option is also analyzed and discussed for hosting, developing, and publishing portal applications. We also cover Web Experience Factory (WEF) as the tool of choice for portlet development. We take you from the introduction to the development of advanced portlets in an intuitive and efficient manner. We cover not only common topics, such as builders, models, and user interface development, but also advanced topics, such as Dojo builders, Ajax techniques, and WEF performance.Within the WEF space, we cover other topics, which have never been covered before by any other competing book. You will learn how to develop multichannel applications, including web mobile applications and you will learn about the model types available for portlet development, including when and how to utilize them. We also present and discuss numerous aspects and facets of implementing a WEF project and what it takes to successfully deliver them.The richness and the profundity of the topics combined with an intuitive and well-structured presentation of the chapters will provide you with all the information you need to master your skills with the IBM WebSphere Portal project lifecycle and Web Experience Factory.