TIBCO Spotfire: A Comprehensive Primer

TIBCO Spotfire: A Comprehensive Primer PDF Author: Andrew Berridge
Publisher: Packt Publishing Ltd
ISBN: 1787124169
Category : Computers
Languages : en
Pages : 566

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Book Description
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.

TIBCO Spotfire: A Comprehensive Primer

TIBCO Spotfire: A Comprehensive Primer PDF Author: Andrew Berridge
Publisher: Packt Publishing Ltd
ISBN: 1787124169
Category : Computers
Languages : en
Pages : 566

Get Book

Book Description
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.

Tibco Spotfire

Tibco Spotfire PDF Author: Michael Phillips
Publisher: Packt Pub Limited
ISBN: 9781782176404
Category : Computers
Languages : en
Pages : 348

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Book Description


TIBCO Spotfire – A Comprehensive Primer

TIBCO Spotfire – A Comprehensive Primer PDF Author: Michael Phillips
Publisher: Packt Publishing Ltd
ISBN: 1782176411
Category : Computers
Languages : en
Pages : 348

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Book Description
If you are a business user or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book assumes no prior knowledge of Spotfire or even basic data and visualization concepts.

Apache Solr PHP Integration

Apache Solr PHP Integration PDF Author: Jayant Kumar
Publisher: Packt Publishing Ltd
ISBN: 1782164936
Category : Computers
Languages : en
Pages : 179

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Book Description
This book is full of step-by-step example-oriented tutorials which will show readers how to integrate Solr in PHP applications using the available libraries, and boost the inherent search facilities that Solr offers.If you are a developer who knows PHP and is interested in integrating search into your applications, this is the book for you. No advanced knowledge of Solr is required. Very basic knowledge of system commands and the command-line interface on both Linux and Windows is required. You should also be familiar with the concept of Web servers.

Energy Optimization in Process Systems

Energy Optimization in Process Systems PDF Author: Stanislaw Sieniutycz
Publisher: Elsevier
ISBN: 9780080914428
Category : Science
Languages : en
Pages : 768

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Book Description
Despite the vast research on energy optimization and process integration, there has to date been no synthesis linking these together. This book fills the gap, presenting optimization and integration in energy and process engineering. The content is based on the current literature and includes novel approaches developed by the authors. Various thermal and chemical systems (heat and mass exchangers, thermal and water networks, energy converters, recovery units, solar collectors, and separators) are considered. Thermodynamics, kinetics and economics are used to formulate and solve problems with constraints on process rates, equipment size, environmental parameters, and costs. Comprehensive coverage of dynamic optimization of energy conversion systems and separation units is provided along with suitable computational algorithms for deterministic and stochastic optimization approaches based on: nonlinear programming, dynamic programming, variational calculus, Hamilton-Jacobi-Bellman theory, Pontryagin's maximum principles, and special methods of process integration. Integration of heat energy and process water within a total site is shown to be a significant factor reducing production costs, in particular costs of utilities for the chemical industry. This integration involves systematic design and optimization of heat exchangers and water networks (HEN and WN). After presenting basic, insight-based Pinch Technology, systematic, optimization-based sequential and simultaneous approaches to design HEN and WN are described. Special consideration is given to the HEN design problem targeting stage, in view of its importance at various levels of system design. Selected, advanced methods for HEN synthesis and retrofit are presented. For WN design a novel approach based on stochastic optimization is described that accounts for both grassroot and revamp design scenarios. Presents a unique synthesis of energy optimization and process integration that applies scientific information from thermodynamics, kinetics, and systems theory Discusses engineering applications including power generation, resource upgrading, radiation conversion and chemical transformation, in static and dynamic systems Clarifies how to identify thermal and chemical constraints and incorporate them into optimization models and solutions

Ceramic Integration and Joining Technologies

Ceramic Integration and Joining Technologies PDF Author: Mrityunjay Singh
Publisher: John Wiley & Sons
ISBN: 0470391227
Category : Technology & Engineering
Languages : en
Pages : 830

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Book Description
This book joins and integrates ceramics and ceramic-based materials in various sectors of technology. A major imperative is to extract scientific information on joining and integration response of real, as well as model, material systems currently in a developmental stage. This book envisions integration in its broadest sense as a fundamental enabling technology at multiple length scales that span the macro, millimeter, micrometer and nanometer ranges. Consequently, the book addresses integration issues in such diverse areas as space power and propulsion, thermoelectric power generation, solar energy, micro-electro-mechanical systems (MEMS), solid oxide fuel cells (SOFC), multi-chip modules, prosthetic devices, and implanted biosensors and stimulators. The engineering challenge of designing and manufacturing complex structural, functional, and smart components and devices for the above applications from smaller, geometrically simpler units requires innovative development of new integration technology and skillful adaptation of existing technology.

Adobe Creative Suite 5 Design Premium All-in-One For Dummies

Adobe Creative Suite 5 Design Premium All-in-One For Dummies PDF Author: Jennifer Smith
Publisher: John Wiley & Sons
ISBN: 0470607467
Category : Computers
Languages : en
Pages : 1030

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Book Description
The perennial Adobe Creative Suite bestseller—fully updated for Adobe CS5 Featuring eight books in one, this All-in-One For Dummies guide covers the key features and tools that you need to know in order to understand how to use each individual program within the Adobe Creative Suite—InDesign, Illustrator, Photoshop, Acrobat, Dreamweaver, Fireworks, and Flash—to its fullest potential. Within the nearly 1,000 pages, you’ll find creative inspiration as well as tips and techniques to sharpen you productivity. Dedicates a minibook to each of the programs within the latest version of Adobe Creative Suite 5—InDesign, Illustrator, Photoshop, Acrobat, Dreamweaver, Fireworks, Flash—as well as a minibook devoted to Creative Suite basics Serves as a one-stop learning opportunity for each product inside the Design Premium Suite Walks you through creating print and web-based marketing or advertising materials or other publications Adobe Creative Suite 5 Design Premium All-in-One For Dummies is a premium resource on all Adobe Creative Suite 5 can do for you.

Hands-On Predictive Analytics with Python

Hands-On Predictive Analytics with Python PDF Author: Alvaro Fuentes
Publisher: Packt Publishing Ltd
ISBN: 1789134544
Category : Computers
Languages : en
Pages : 320

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Book Description
Step-by-step guide to build high performing predictive applications Key FeaturesUse the Python data analytics ecosystem to implement end-to-end predictive analytics projectsExplore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanationsLearn to deploy a predictive model's results as an interactive applicationBook Description Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming. What you will learnGet to grips with the main concepts and principles of predictive analyticsLearn about the stages involved in producing complete predictive analytics solutionsUnderstand how to define a problem, propose a solution, and prepare a datasetUse visualizations to explore relationships and gain insights into the datasetLearn to build regression and classification models using scikit-learnUse Keras to build powerful neural network models that produce accurate predictionsLearn to serve a model's predictions as a web applicationWho this book is for This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.

Metadata Solutions

Metadata Solutions PDF Author: Adrienne Tannenbaum
Publisher: Addison-Wesley Professional
ISBN: 9780201719765
Category : Business & Economics
Languages : en
Pages : 532

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Book Description
Introduces concepts for organizing data within a company to make it more accessible and meaningful. The author explains where databases went wrong in the 1990s, describes metadata-based technologies and standards, and illustrates the various implementation options by depicting five distinct metadata solutions for the same problem.

Applied Predictive Analytics

Applied Predictive Analytics PDF Author: Dean Abbott
Publisher: John Wiley & Sons
ISBN: 111872769X
Category : Computers
Languages : en
Pages : 456

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Book Description
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.