Tibco Spotfire A Complete Guide 2020 Edition
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| Author | : Nathan Yau |
| Publisher | : John Wiley & Sons |
| Total Pages | : 8 |
| Release | : 2013-03-25 |
| Genre | : Computers |
| ISBN | : 1118654935 |
A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.
| Author | : Andrew Berridge |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 566 |
| Release | : 2019-04-30 |
| Genre | : Computers |
| ISBN | : 1787124169 |
Create innovative informatics solutions with TIBCO Spotfire Key FeaturesGet to grips with a variety of TIBCO Spotfire features to create professional applicationsUse different data and visualization techniques to build interactive analyses.Simplify BI processes and understand data analysis and visualizationBook Description The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire® combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers. Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R®, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules. By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently What you will learnWork with Spotfire on its web, Cloud, PC, Mac and mobile clientsDeploy Spotfire's suite of visualization types effectively and intelligentlyBuild user-friendly analytics frameworks and analytics applicationsExplore Spotfire's predictive analytics capabilitiesUse Spotfire's location analytics capabilities to create interactive spatial analysesWrite IronPython scripts with the Spotfire APILearn the different ways Spotfire can be deployed and administeredWho this book is for If you are a business intelligence or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book requires no prior knowledge of Spotfire or any basic data and visualization concepts.
| Author | : Asif Abbasi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 416 |
| Release | : 2020-11-20 |
| Genre | : Computers |
| ISBN | : 1119649447 |
Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses. This AWS Specialty Exam guide gets you ready for certification testing with expert content, real-world knowledge, key exam concepts, and topic reviews. Gain confidence by studying the subject areas and working through the practice questions. Big data concepts covered in the guide include: Collection Storage Processing Analysis Visualization Data security AWS certifications allow professionals to demonstrate skills related to leading Amazon Web Services technology. The AWS Certified Data Analytics Specialty (DAS-C01) Exam specifically evaluates your ability to design and maintain Big Data, leverage tools to automate data analysis, and implement AWS Big Data services according to architectural best practices. An exam study guide can help you feel more prepared about taking an AWS certification test and advancing your professional career. In addition to the guide’s content, you’ll have access to an online learning environment and test bank that offers practice exams, a glossary, and electronic flashcards.
| Author | : Dean Abbott |
| Publisher | : John Wiley & Sons |
| Total Pages | : 471 |
| Release | : 2014-04-14 |
| Genre | : Computers |
| ISBN | : 1118727967 |
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.
| Author | : Bill Inmon |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-10 |
| Genre | : |
| ISBN | : 9781634628877 |
Master the most agile and resilient design for building analytics applications: the Unified Star Schema (USS) approach. The USS has many benefits over traditional dimensional modeling. Witness the power of the USS as a single star schema that serves as a foundation for all present and future business requirements of your organization.
| Author | : Connie Hamilton |
| Publisher | : Corwin Press |
| Total Pages | : 158 |
| Release | : 2022-10-05 |
| Genre | : Education |
| ISBN | : 1071871080 |
With the right approach, no problem is unsolvable. How do you approach and solve problems in education that have been around so long that they just feel...normal? Perpetual issues—numeracy, reading ability, equity, grading, and teacher retention—are often continually managed, but not solved like the crises they are for future sustainability. This innovative guide introduces seven mindshifts that will help you engage with your community, access diverse resources, embrace radical new ideas, create equity, and chart a course of school improvement to solve those "unsolvable issues" so that your students and teachers learn and grow. Features include Seven adaptable models—one per mindshift—for finding your own solutions to perennial problems Stories highlighting the successful implementation of each mindshift Discussions to help you match mindshifts to particular problems Technical tips and reflection questions Persistent problems in education can only be solved if we approach them as the crises that they are. This book gives you the tools you need to become a new kind of school leader—one empowered to not just deal with the outcomes of perennial complex issues, but extinguish them altogether so that your students can thrive.
| Author | : Wayne W. Eckerson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 321 |
| Release | : 2005-10-27 |
| Genre | : Business & Economics |
| ISBN | : 0471757659 |
Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.
| Author | : Ramesh Sharda |
| Publisher | : |
| Total Pages | : 832 |
| Release | : 2020-03-06 |
| Genre | : Business intelligence |
| ISBN | : 9781292341552 |
For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.
| Author | : Kristen Sosulski |
| Publisher | : Routledge |
| Total Pages | : 285 |
| Release | : 2018-09-27 |
| Genre | : Business & Economics |
| ISBN | : 135138077X |
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.
| Author | : Alistair Croll |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 403 |
| Release | : 2024-02-23 |
| Genre | : Business & Economics |
| ISBN | : 1098168151 |
Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products
