Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.

This IBM® Redbooks® publication presents a general introduction to Linear Tape-Open (LTO) technology and the implementation of corresponding IBM products. The IBM Enterprise 3592 Tape Drive also is described. This tenth edition includes information about the latest enhancements to the IBM Ultrium family of tape drives and tape libraries. In particular, it includes details of the latest IBM LTO Ultrium 6 tape drive technology and its implementation in IBM tape libraries. Information is included about the recently released, enhanced, higher-performance ProtecTIER servers and the features of the new version 3.2 server software. The new software also enables a new feature, the File System Interface (FSI). It also contains technical information about each IBM tape product for Open Systems. It includes generalized sections about Small Computer System Interface (SCSI) and Fibre Channel connections and multipath architecture configurations. This book also includes information about tools and techniques for library management. This edition includes details about Tape System Library Manager (TSLM). TSLM provides consolidation and simplification in large TS3500 Tape Library environments, including the IBM Shuttle Complex. This publication is intended for anyone who wants to understand more about IBM tape products and their implementation. This book is suitable for IBM clients, IBM Business Partners, IBM specialist sales representatives, and technical specialists. If you do not have a background in computer tape storage products, you might need to reference other sources of information. In the interest of being concise, topics that are generally understood are not covered in detail.

This IBM® Redbook®s publication provides a practical understanding of theI BM XIV® Storage System copy and migration functions. The XIV Storage System has a rich set of copy functions suited for various data protection scenarios, which enables clients to enhance their business continuance, data migration, and online backup solutions. These functions allow point-in-time copies, known as snapshots and full volume copies, and also include remote copy capabilities in either synchronous or asynchronous mode. These functions are included in the XIV software and all their features are available at no additional charge. The various copy functions are reviewed in separate chapters, which include detailed information about usage, and also practical illustrations. This book also explains the XIV built-in migration capability, and presents migration alternatives based on the SAN Volume Controller (SVC). Finally, the book illustrates the use of IBM Tivoli® Storage Productivity Center for Replication to manage XIV Copy Services. This book is intended for anyone who needs a detailed and practical understanding of the XIV copy functions.

In this IBM® Redbooks® publication we introduce a new product, the IBM Storwize® V7000 Unified (V7000U). Storwize V7000 Unified is a virtualized storage system designed to consolidate block and file workloads into a single storage system. Advantages include simplicity of management, reduced cost, highly scalable capacity, performance, and high availability. Storwize V7000 Unified storage also offers improved efficiency and flexibility through built-in solid-state drive (SSD) optimization, thin provisioning, IBM Real-time Compression™, and nondisruptive migration of data from existing storage. The system can virtualize and reuse existing disk systems offering a greater potential return on investment. We suggest that you familiarize yourself with the following books to get the most from this publication: Implementing the IBM Storwize V7000 V6.3, SG24-7938

Implement Oracle Business Intelligence Applications Provide actionable business intelligence across the enterprise to enable informed decision-making and streamlined business processes. Oracle Business Intelligence Applications: Deliver Value Through Rapid Implementations shows how to justify, configure, customize, and extend this complete package of BI solutions. You'll get a technical walkthrough of Oracle Business Intelligence Applications architecture--from the dashboard to the data source--followed by best practices for maximizing the powerful features of each application. You will also find out about stakeholders critical to project approval and success. Optimize performance using Oracle Exalytics In-Memory Machine Deliver timely financial information to managers with Oracle Financial Analytics Enable a streamlined, demand-driven supply chain via Oracle Supply Chain and Order Management Analytics Provide end-to-end visibility into manufacturing operations with Oracle Manufacturing Analytics Optimize supply-side performance through Oracle Procurement and Spend Analytics Use Oracle Human Resources Analytics to provide key workforce information to managers and HR professionals Track the costs and labor required to maintain and operate assets with Oracle Enterprise Asset Management Analytics Maintain visibility into project performance via Oracle Project Analytics Provide actionable insight into sales opportunities using Oracle Sales Analytics Enable superior customer service with Oracle Service Analytics

Server Time Protocol (STP) is a server-wide facility that is implemented in the Licensed Internal Code (LIC) of IBM® zEnterprise EC12 (zEC12), IBM zEnterprise 196 (z196), IBM zEnterprise 114 (z114), IBM System z10®, and IBM System z9®. It provides improved time synchronization in both a sysplex or non-sysplex configuration. This IBM Redbooks® publication will help you configure a Mixed Coordinated Timing Network (CTN) or an STP-only CTN. It is intended for technical support personnel requiring information about: -Installing and configuring a Coordinated Timing Network Readers are expected to be familiar with IBM System z technology and terminology. For planning information, see our companion book, Server Time Protocol Planning Guide, SG24-7280. For information about how to recover your STP environment functionality, see the Server Time Protocol Recovery Guide, SG24-7380.

Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data - often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data. What you'll learn Understanding the technology, implementation of big data platforms and their usage for analytics Big data architectures Big data design patterns Implementation best practices Who this book is for This book is designed for IT professionals, data warehousing, business intelligence professionals, data analysis professionals, architects, developers and business users.

Today, more mediated information is available to more people than at any other time in human history. New and revitalized sense-making strategies multiply in response to the challenges of "cutting through the clutter" of competing narratives and taming the avalanche of information. Data miners, "sentiment analysts," and decision markets offer to help bodies of data "speak for themselves"—making sense of their own patterns so we don’t have to. Neuromarketers and body language experts promise to peer behind people’s words to see what their brains are really thinking and feeling. New forms of information processing promise to displace the need for expertise and even comprehension—at least for those with access to the data. Infoglut explores the connections between these wide-ranging sense-making strategies for an era of information overload and "big data," and the new forms of control they enable. Andrejevic critiques the popular embrace of deconstructive debunkery, calling into question the post-truth, post-narrative, and post-comprehension politics it underwrites, and tracing a way beyond them.

Hibernate and MongoDB are a powerful combination of open source persistence and NoSQL technologies for today's Java-based enterprise and cloud application developers. Hibernate is the leading open source Java-based persistence, object relational management engine, recently repositioned as an object grid management engine. MongoDB is a growing, popular open source NoSQL framework, especially popular among cloud application and big data developers. With these two, enterprise and cloud developers have a "complete out of the box" solution. Pro Hibernate and MongoDB shows you how to use and integrate Hibernate and MongoDB. More specifically, this book guides you through the bootstrap; building transactions; handling queries and query entities; and mappings. Then, this book explores the principles and techniques for taking these application principles to the cloud, using the OpenShift Platform as a Service (PaaS) and more. In this book, you get two case studies: An enterprise application using Hibernate and MongoDB. then, A cloud application (OpenShip) migrated from the enterprise application case study After reading or using this book, you come away with the experience from two case studies that give you possible frameworks or templates that you can apply to your own specific application or cloud application building context. What you'll learn How to use and integrate Hibernate and MongoDB to be your "complete out of the box" solution for database driven enterprise and cloud applications How to bootstrap; run in supported environments; do transactions; handle queries and query entities; and mappings How to build an enterprise application case study using Hibernate and MongoDB What are the principles and techniques for taking applications to the Cloud, using the OpenShift Platform as a Service (PaaS) and more How to build a cloud-based app or application (OpenShip) Who this book is for This book is for experienced Java, enterprise Java programmers who may have some experience with Hibernate and/or MongoDB.

Solar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators’ concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward. The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world’s most renowned experts. Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis. Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.

A thorough overview of multi-agent simulation and supporting tools, this book provides the methodology for a multi-agent-based modeling approach that integrates computational techniques such as artificial life, cellular automata, and bio-inspired optimization. It shows how this type of simulation is used to acquire an understanding of complex systems and artificial life. The author carefully explains how to construct a simulation program for various applications. Swarm-based software and source codes are available on his website.

This book helps readers obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this one incorporates many exercises that apply to real-world settings and provides much more thorough solutions. The exercises and selected detailed solutions cover from basic probability theory through to the theory of statistical inference. By mastering the theoretical statistical strategies necessary to solve the exercises, readers will be prepared to successfully study even higher-level statistical theory.

Dive into "Oracle Data Guard 11gR2 Administration: Beginner's Guide" and start mastering data protection and high availability for Oracle Databases. This guide breaks down the essentials of setting up and managing Oracle Data Guard configurations, equipping you with knowledge and skills through step-by-step examples. What this Book will help me do Learn to configure Oracle Data Guard and manage its essential components. Gain expertise in performing role transitions such as switchover and failover between databases. Use Data Guard Broker for streamlined management of your high availability setup. Understand best practices for patching and maintaining Oracle Data Guard environments. Integrate Data Guard with advanced Oracle features like RAC and RMAN for optimal performance. Author(s) While the specific authors of "Oracle Data Guard 11gR2 Administration: Beginner's Guide" are not listed, it is written by experts in Oracle Database Administration with substantial experience working on high availability setups and disaster recovery solutions. The book distills their expertise into an accessible format. Who is it for? This guide is perfect for Oracle Database Administrators looking to deepen their knowledge in setting up and managing an Oracle Data Guard environment. Whether you're just starting out or have some experience, it provides hands-on instructions and practical examples to elevate your skills. Its user-friendly approach appeals to tech-savvy professionals aiming to protect their data and ensure system availability effectively.

"QlikView for Developers Cookbook" empowers you to elevate your QlikView development skills beyond the introductory level. Through practical recipes, this book provides hands-on exercises covering topics like advanced visualizations, data modeling challenges, and script writing. This is an ideal resource for developers looking to master QlikView's functionalities and apply advanced techniques. What this Book will help me do Master techniques for creating advanced visualizations in QlikView. Improve your applications by applying best practices in data modeling. Learn to script and automate tasks effectively within QlikView. Enhance performance optimization to deliver faster QlikView applications. Implement robust security measures for your QlikView solutions. Author(s) Stephen Redmond is a seasoned QlikView developer with over seven years of experience in designing and implementing business intelligence solutions. His expertise encompasses advanced scripting, data modeling, and visualization techniques, making him an authority on QlikView development. Stephen's hands-on approach in teaching helps practitioners achieve excellence in their use of QlikView. Who is it for? This book is tailored for individuals with a foundational knowledge of QlikView who want to advance their skills. Whether you're a developer at a QlikView customer, partner, or QlikView itself, or someone aiming to become an expert in QlikView development, this book is crafted for you. It assumes you have a basic understanding and are eager to solve complex problems and create advanced solutions.

Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying Analytics: A Practical Introduction systematically teaches novices how to apply algorithms to real data and how to recognize potential pitfalls. It offers one of the first textbooks for the emerging first course in analytics. The text concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encountered by analysts in their daily work. The author shares various lessons learned from applying analytics in the real world. He supplements the technical material with coverage of professional skills traditionally learned through experience, such as project management, analytic communication, and using analysis to inform decisions. Example data sets used in the text are available for download online so that readers can test their own analytic routines. Suitable for beginning analysts in the sciences, business, engineering, and government, this book provides an accessible, example-driven introduction to the emerging field of analytics. It shows how to interpret data and identify trends across a range of fields.

Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively. Discover concrete information on how web analytics data support user research and user-centered design Learn how to frame questions in a way that lets you navigate through massive amounts of data to get the answer you need Learn how to gather information for personas, verify behavior found in usability testing, support heuristic evaluation with data, analyze keyword data, and understand how to communicate these findings with business stakeholders

Delve into the world of Oracle SOA BPEL Process Manager and master the skills required for designing, deploying, and managing business process applications. In this book, you will learn to implement and optimize SOA services and BPEL processes, enabling you to tackle real-world challenges with confidence. Gain hands-on experience through detailed examples and practical exercises. What this Book will help me do Understand and utilize the BPEL standard for defining business processes in a SOA context. Develop, configure, and test BPEL processes using Oracle SOA Suite and JDeveloper. Gain expertise in deploying, debugging, and troubleshooting BPEL processes effectively. Learn techniques for integrating BPEL with other SOA suite components like OSB and BAM. Explore advanced topics such as performance tuning and implementing high availability strategies. Author(s) The authors of this hands-on guide are seasoned experts in service-oriented architecture (SOA) and integration technologies, bringing decades of industry experience to their teachings. They have trained and worked with numerous organizations to design and implement robust SOA solutions, particularly leveraging Oracle technology. Their approachable writing style makes complex technical concepts accessible for learners at all levels. Who is it for? This book is designed for SOA developers, architects, and administrators aiming to master Oracle BPEL Process Manager 11gR1. Ideal for professionals with a basic understanding of SOA concepts looking to deepen their skills in BPEL. It's suitable for those interested in building business process applications or managing Oracle SOA solutions. Also, it's an excellent resource for enhancing practical expertise.

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. What you'll learn A rich understanding of how to gather, and analyze empirical data How to tell a story with data using data visualizations What types of data visualizations are best to use for the story that you want to tell with your data A comprehensive introduction to the R language, covering all the essentials Exploration of how to construct interactive data visualizations using JavaScript and JavaScript libraries Who this book is for Developers at all levels interested in data visualization, beginning to intermediate engineering managers, statisticians, mathematicians, economists and any others interested in data visualization.