The DB2 9 technology platform is a cutting-edge hybrid database server that offers industry leading storage optimizations, scalability, availability, and more. DB2 9.7 takes the cost savings, ease of use, and security of DB2 9.5 to the next level. This succinct guide will help you eliminate business barriers and gain an inside view into the key features that will save your business time and money with the ultimate database server--DB2 9.7.

Break Free with DB2 9.7: A Tour of Cost-Slashing New Features

Computers & Technology

Zikopoulos, Paul

Eaton, Chris

Baklarz, George

Tassi, Belal

Programming

McGraw=Hill

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
 Extreme Availability and Scalability--Up and Running With DB2 pureScaleDB2 is a leading-edge hybrid data server that offers optimum storage, scalability, and availability. DB2 pureScale is a new technology primarily optimized for scale-out transactional processing clusters in an active-active manner. This succinct guide will show you how DB2 with pureScale can deliver transparent application scalability, the ability to deliver agile-like computing to your transaction systems, and extreme availability.
This book, together with IBM DB2 9 New Features (McGraw-Hill, 2007) and Break Free with DB2 9.7 (McGraw-Hill, 2009), provides you with the comprehensive knowledge you need to get started with the latest DB2 release. Try the new features by downloading DB2 Express-C 9.7--it is free to develop, deploy, and distribute (with no user and database size limitations) and features pureXML technology. Go to ibm.com/db2/express.
<ul>
<li>Discover the benefits your business can achieve with the agility provided by DB2 pureScale</li>
<li>Find out how applications can be transparently scaled</li>
<li>Reduce the risk and cost of business growth through umlimited capacity</li>
</ul>

DB2 pureScale: Risk Free Agile Scaling

Sachedina, Aamer

Huras, Matthew

Awad, Paul

Databases & Big Data

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. <ul>
<li>Learn how IBM hardens Hadoop for enterprise-class scalability and reliability </li>
<li>Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform </li>
<li>Learn tips and tricks for Big Data use cases and solutions </li>
<li>Get a quick Hadoop primer</li>
</ul>

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Zikopoulos, IBM, Paul

Computer Science

McGraw-Hill/Osborne Media

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities
Big Data represents a new era of computing―an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights―whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game."
The four defining characteristics of Big Data―volume, variety, velocity, and veracity―are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery.
In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.

Harness the Power of Big Data The IBM Big Data Platform

Deroos, Dirk

Parasuraman, Krishnan

Deutsch, Thomas

Giles, James

Corrigan, David

Networking & Cloud Computing

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. UPGRADE TO THE NEW GENERATION OF DATABASE SOFTWARE FOR THE ERA OF BIG DATA!
If big data is an untapped natural resource, how do you find the gold hidden within? Leaders realize that big data means all data, and are moving quickly to extract more value from both structured and unstructured application data. However, analyzing this data can prove costly and complex, especially while protecting the availability,performance and reliability of essential business applications.
In the new era of big data, businesses require data systems that can blend always-available transactions with speed-of-thought analytics. DB2 10.5 with BLU Acceleration provides this speed, simplicity, andaffordability while making it easier to build next-generation applications with NoSQL features, such as a mongo-styled JSON document store, a graph store, and more. Dynamic in-memory columnar processing and other innovations deliver faster insights from more data, and enhanced pureScale clustering technology delivers high-availability transactions with application-transparent scalability for business continuity.
With this book, you'll learn about the power and flexibility of multiworkload, multi-platform database software. Use the comprehensive knowledge from a team of DB2 developers and experts to get started with the latest DB2 trial version you can download at ibm.com/developerworks/downloads/im/db2/.
Stay up to date on DB2 by visiting ibm.com/db2/.

DB2 10.5 with BLU Acceleration: New Dynamic In-Memory Analytics for the Era of Big Data

Lightstone, Sam

Gain insight into how to govern and consume IBM's unique in-motion and at-rest Big Data analytic capabilities 
A. R. Ammons once said, "A word too much repeated falls out of being," and although the term Big Data sometimes seems to be "too much repeated," it's not about to fall "out of being." That said, it is subject to a lot of hype. The term Big Data is a bit of a misnomer. Truth be told, we're not even big fans of the term--despite the fact that it is so prominently displayed on the cover of this book--because it implies that other data is somehow small (it might be) or that this particular type of data is large in size (it can be, but doesn't have to be). This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. The Big Data opportunity. It's a shift, rift, lift, or cliff for your business--this book is going to help you experience the shift and lift, while those that don't work to get beyond the hype end up in a rift or cliff. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. You'll learn how Big Data needs a "ground-to-cloud" architecture, what a Data Refinery looks like, and the importance of a next generation data platform. Gain an understanding of the concepts of data-in-motion, data-at-rest (technologies like Hadoop play here, as well as others), the role that NoSQL and polyglot play in a leading edge analytics architecture, and more. Get details about the Big Data platform manifesto and why it is a must for any Big Data project. Capturing, storing, refining, transforming, governing, securing, and analyzing data, traditionally or as a service, are important topics also covered in this book.

Big Data Beyond the Hype: A Guide to Conversations for Today's Data Center (Database & Erp - Omg)

Bienko, Christopher

Introduces the Apache Derby/IBM Cloudscape technology: where it fits and how to install and configure it - and how to build robust business applications and Web services with it. This work covers comparing Apache Derby with the commercial IBM Cloudscape offering; and more.

Apache Derby: Includes Details of IBM Cloudscape

Scott, Dan

IBM Pr

Built on the IBM Cloudscape code base, Apache Derby is lauded as the world's only enterprise class, open source, pure Java, fully transactional relational database. In this guide for developers, database experts from IBM explain how to make the most of Apache Derby. First are step-by-step instructions for installing the code on a Windows or Linux workstation for developmental purposes. The next section describes how each of the programming languages supported by Apache Derby interacts with the database engine. The final section is a tutorial, taking the reader through the construction of various features for a sample application. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)

Apache Derby -- Off to the Races: Includes Details of IBM Cloudscape (paperback)

Ibm Press

<div> Many companies claim to have "gone to the cloud," yet returns from their efforts are meager or worse. Why? Because they've defined cloud as a destination, not a capability. Using cloud as a single-vendor, one-stop destination is fiction; in practice, today's organizations use a mosaic of capabilities across several vendors. Your cloud strategy needs to follow a hybrid multicloud model, one that delivers cloud's value at destinations you choose. This practical guide provides business leaders and C-level executives with guidance and insights across a wide range of cloud-related topics, such as distributed cloud, microservices, and other open source solutions for strengthening operations. You'll apply in-the-field best practices and lessons learned as you define your hybrid cloud strategy and drive your company's transformation strategy. <ul> <li>Learn cloud fundamentals and patterns, including basic concepts and history</li> <li>Get a framework for cloud acumen phases to value-plot your cloud future</li> <li>Know which questions to ask a cloud provider before you sign</li> <li>Discover potential pitfalls for everything from the true cost of a cloud solution to adopting open source the right way</li> </ul> </div>

Cloud Without Compromise: Hybrid Cloud for the Enterprise

Business & Money

Backer, Chris

Konarski, Chris

Vennam, Sai

Industries

O'Reilly Media

<div> AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder--a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. <ul> <li>Understand why you can't have AI without an information architecture (IA)</li> <li>Appreciate how AI is as much a cultural change as it is a technological one</li> <li>Collect data and make it simple and accessible, regardless of where it lives</li> <li>Organize data to create a business-ready analytics foundation</li> <li>Analyze data, and build and scale AI with trust and transparency</li> <li>Infuse AI throughout your entire business and create intelligent workflows</li> </ul> </div>

The AI Ladder: Accelerate Your Journey to AI

Thomas, Rob

Education & Reference

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