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. Learn cloud fundamentals and patterns, including basic concepts and history Get a framework for cloud acumen phases to value-plot your cloud future Know which questions to ask a cloud provider before you sign Discover potential pitfalls for everything from the true cost of a cloud solution to adopting open source the right way
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. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer
Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters. Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.
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. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows
Many companies claim to have "gone to the cloud," yet returns from their efforts are meager, and sometimes 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, you'll require a mosaic of capabilities across several vendors. Your data strategy needs to follow a hybrid multicloud model, one that delivers cloud's value at destinations you choose. This practical guide from IBM experts provides business leaders and C-level executives with guidelines from Agile development, microservices, and open source solutions--including pro tips for strengthening operations along the way. Apply in-the-field best practices and lessons learned as you define your hybrid cloud strategy and drive your company's transformation strategy. This book gets you started. Learn cloud fundamentals and patterns, including basic concepts and history Get a framework for cloud maturation phases to value-plot your cloud future Know which questions to ask about a cloud provider before you sign Discover potential pitfalls for everything from the true cost of your cloud solution to adopting open source the right way See how IBM infrastructure can boost your cloud journey
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.
DB2® 9 builds on the world's number one enterprise database to simplify the delivery of information as a service, accelerate development, and dramatically improve operational efficiency, security, and resiliency. Now, this new edition offers complete, start-to-finish coverage of DB2 9 administration and development for Linux®, UNIX®, and Windows® platforms, as well as authoritative preparation for the latest IBM DB2 certification exam. Written for both DBAs and developers, this definitive reference and self-study guide covers all aspects of deploying and managing DB2 9, including DB2 database design and development; day-to-day administration and backup; deployment of networked, Internet-centered, and SOA-based applications; migration; and much more. You'll also find an unparalleled collection of expert tips for optimizing performance, availability, and value. Coverage includes: Important security and resiliency enhancements, including advanced access control; fine-grained, label-based security; and the new security administrator role Breakthrough pureXMLTM features that make it easier to succeed with service-oriented architecture Operational improvements that enhance DBA efficiency--including self-tuning memory allocation, automated storage management, and storage optimization Table-partitioning features that improve scalability and manageability Powerful improvements for more agile and rapid development, including the new Eclipse-based Developer Workbench and simple SQL or XQuery access to all data Whatever your role in working with DB2 or preparing for certification, DB2 9 for Linux, UNIX, and Windows, Sixth Edition is the one book you can't afford to be without. Download Complete DB2 V9 Trial Version Visit ibm.com/db2/9/download.html to download a complete trial version of DB2, which enables you to try out dozens of the most powerful features of DB2 for yourself: everything from pureXML support to automated administration and optimization. Straight from IBM, the ultimate guide to running DB2 9 and preparing for the latest IBM DB2 certification exam! Covers powerful DB2 9 enhancements ranging from automated management to improved compression Covers the full spectrum of DBA responsibilities, including server management, data placement, XML concepts, activity analysis, high availability, and security Presents expert tips and best practices from the DB2 customer support organization
DB2 Version 8" represents a significant release in DB2Us history. This book is organized into topics such as Performance Enhancements, Manageability Enhancements, etc. Each section presents the new features in Version 8, and gives details about the new features, gotchas, tips, and tricks.
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, and affordability 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."--
THE ULTIMATE DATA SERVER--PREVIEW THE COST-SLASHING NEW FEATURES OF DB2 9.7 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. This book, together with IBM DB2 9 New Features (McGraw-Hill, 2007), 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.
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. Save Time and Money with DB2 10 for LUW Even travel through time and shrink data How would you like to compress even more data, store it in a cloud, and analyze it as though you are traveling through time without compromising security? In addition to these enhancements, you will experience lower costs and faster performance with the latest release of DB2. Read this book to understand the power of DB2 10 and get started now! This book provides you with the comprehensive knowledge you need to get started with the latest DB2 release. Try some of the new features by downloading DB2 Express for free, which features Big Data and Cloud technology. Go to ibm.com/db2/express.
Design and deploy integrated enterprise-class business solutions Enhance productivity, profitability, and efficiency using IBM DB2 9 and the detailed information in this comprehensive resource. Written by experienced IBM data server professionals, IBM DB2 9 New Features covers the technical details of the major new aspects of DB2 9 alongside real-world business uses, syntax examples, and insider tips. Learn how to manipulate and manage XML data using pureXML, automate maintenance tasks, and seamlessly integrate Java, PHP, and Perl scripts. Plus, you'll get vital coverage of the brand-new DB2 Developer Workbench, enhanced .NET developer support, Ruby on Rails, and database security. Learn about all the auto-configuration features that make getting DB2 up and running faster than ever before Define, share, and validate data using XML and the unique pureXML DB2 Hybrid Storage Engine Improve runtime performance and optimize storage with the new DB2 Compression Technology Automatically handle DB2 memory allocation using the Self Tuning Memory Manager Use Automatic Storage, Autonomic Computing, and a host of other autonomic features that make managing DB2 a snap Create dynamic data server blueprints with Rational Data Architect version 6.1 Incorporate Java applications using the IBM WebSphere Application Server and DB2 data server Develop open-source scripts using PHP, Perl, Toad, and Ruby on Rails Utilize the DB2 Developer Workbench or exploit the enhanced .NET developer support Deploy the latest DB2 security and high availability features
Extreme Availability and Scalability--Up and Running With DB2 pureScale DB2 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. Discover the benefits your business can achieve with the agility provided by DB2 pureScale Find out how applications can be transparently scaled Reduce the risk and cost of business growth through umlimited capacity
The results of the most recent survey on foreign students in regionally accredited institutions of higher education in the United States are provided. In-depth information is included on such topics as: what proportion of students from a specific country are graduates or undergraduates; what proportion of students in different fields are graduates or undergraduates; what proportion of students from a certain country are studying business and management, and what proportion of those are male or female; and what countries or world regions foreign students attending schools in California come from. Background is provided on methodology and data characteristics, organization, and special reports. Foreign student characteristics by world region and place of origin look at African, European, Latin American, Middle Eastern, North American, Oceanian, and South and East Asian students. Information is provided on foreign students within U.S. region, academic level, and field of study (geographic and educational destinations, academic level, and field of study). The appendices are detailed cross-tabulations; step 2/step 3 comparisons; selected characteristics of foreign students by country or other place, subregion, and world region of origin; fields of study; countries and other places by world region and subregion; and 1985/86 individual data (step 3) survey materials. Forty-one tables and figures are included. (SM)
Detailed, indepth information is provided on the characteristics of individual foreign students to complement the annual report "Open Doors," which reports data on single characteristics of the foreign student population. Data are provided about subgroups of the foreign student population (e.g., the proportion of graduates versus undergraduates from a specific country, and the home country or world region of foreign students attending schools in California). Data were drawn from a biennial survey of all regionally accredited two- and four-year U.S. institutions of higher education listed in the "HEP 1988 Higher Education Directory." Three chapters are as follows: (1) "Profiles Data" (methodology and data characteristics, organization, and availability of special reports); (2)"Foreign Student Characteristics by World Regions and Places of Origin" (African, Asian, European, Latin American, Middle Eastern, North American, and Oceanian students); and (3) "Foreign Students within U.S. Regions, Academic Levels, and Fields of Study" (geographic destinations, and educational destinations, including academic level and field of study). Six appendices provide: detailed cross-tabulations; step 2/step 3 comparisons (i.e., comprisons of "Open Doors" and "Profiles" data); selected characteristics of foreign students by country or other place, subregion, and world region of origin; fields of study; countries and other places within world regions and subregions; and 1987/88 individual data (step 3) survey materials. (SM)
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.
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. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world's fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
This publication provides a complete census and analysis of the foreign postsecondary student population studying in the United States. The report consists of five chapters. The first chapter compares "Open Doors" (a statistical compilation on foreign students) and this publication, pointing out the unique contributions of each publication as well as the advantages of combining data from both publications to gain information not available in either one. Chapters 2 through 5 report the major findings of the survey in the following areas: (1) the characteristics of subgroups of foreign students in the United States; (2) analyses of foreign student populations at different geographic locations; (3) analyses of graduate and undergraduate foreign students; and (4) an examination of groups of students in the most populous fields of study. (Statistical tables and charts comprise over 60% of the publication.) Appendices include the research methodology and technical notes on the data; breakdowns by field of study and gender as well as by field of study, academic level, and gender; and a report on the characteristics (field of study, gender, and academic level) of foreign students from each country or other place of origin as well as subregion and world region. (GLR)
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