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Best practices and step-by-step instructions for using the Tableau Software toolset Although the Tableau Desktop interface is relatively intuitive, this book goes beyond the simple mechanics of the interface to show best practices for creating effective visualizations for specific business intelligence objectives. It illustrates little-known features and techniques for getting the most from the Tableau toolset, supporting the needs of the business analysts who use the product as well as the data and IT
Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of
The 11th edition of FitzGerald and Dennis' Business Data Communications and Networking focuses on more comprehensive updating, as well as more hands-on and applied exercises. The new edition has more in-depth coverage of routing; revisions and updates on wireless; additional cases for team-based learning; and more hands-on lab exercises. In general, this text has more details in many chapters, specific updates, and updated illustrations.
Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within
As the world continues to become increasingly connected, the modern organization finds itself in the center of a cultural revolution. Historically, the most advanced technologies like high-speed internet access and the mobile phone were leveraged almost exclusively for the workplace to increase and enhance employee productivity. Once these technologies reached critical mass in the office, they began to spill over into the personal lives of consumers who immediately integrated these technologies into every
Master Oracle’s PeopleSoft PeopleTools Data Administration and Upgrade Toolset Maximize data integrity, maintain peak application performance, and keep your PeopleSoft environment up to date. PeopleSoft PeopleTools Data Management and Upgrade Handbook explains the latest techniques and provides best practices, case studies, and programming examples. Find out how to develop and deploy data mover scripts, audit database health, apply patches, and generate project comparison reports. This Oracle Press guide
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to
Make an impact with your research data! Focusing on the guiding principles of presenting data in evidence-based ways so that audiences are effectively engaged and researchers are better understood, Presenting Data Effectively offers the best communication strategies available to those working with data. With this accessible step-by-step guide, anyone—from students developing a research poster for a school project to faculty and researchers presenting data at a conference—can learn how to present and
“This book is a critically needed resource for the newly released Apache Hadoop 2.0, highlighting YARN as the significant breakthrough that broadens Hadoop beyond the MapReduce paradigm.” —From the Foreword by Raymie Stata, CEO of Altiscale The Insider’s Guide to Building Distributed, Big Data Applications with Apache Hadoop™ YARN Apache Hadoop is helping drive the Big Data revolution. Now, its data processing has been completely overhauled: Apache Hadoop YARN provides resource management at data center
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing
Data Structures and Abstractions with Java is suitable for one- or two-semester courses in data structures (CS-2) in the departments of Computer Science, Computer Engineering, Business, and Management Information Systems. This book is also useful for programmers and software engineers interested in learning more about data structures and abstractions. This is the most student-friendly data structures text available that introduces ADTs in individual, brief chapters — each with pedagogical tools to help
This title lets you to learn how to harness the power of delta-sigma data converters. "Understanding Delta-Sigma Data Converters" brings readers a clear understanding of the principles of delta-sigma (DeltaSigma) converter operation - analog to digital and digital to analog. It introduces the best computer-aided analysis and design techniques available. With an understanding of the great versatility of the DeltaSigma converter, readers can apply their new knowledge to a wide variety of applications,
Extract, Transform, and Load (ETL) is the essence of data integration and this book shows you how to achieve it quickly and efficiently using Pentaho Data. A hands-on guide that you’ll find an indispensable time-saver. Overview Manipulate your data by exploring, transforming, validating, and integrating it Learn to migrate data between applications Explore several features of Pentaho Data Integration 5.0 Connect to any database engine, explore the databases, and perform all kind of operations on databases
This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation
Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management.
Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web
There is a broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data pre-processing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-the-art techniques that can boost the capabilities of many existing data mining tools. The objective
In the last decade, historical GIS has emerged as a promising new methodology for studying the past. Historical GIS is the use of geographic information systems software and allied geospatial methods for historical research and teaching. Placing History: How Maps, Spatial Data, and GIS Are Changing Historical Scholarship offers case studies and essays on key issues involving historical GIS, highlighting the unprecedented range of tools to visualize historical information in a geographical context.
Social Media Marketing - How Data Analytics helps to monetize the User Base in Telecoms, Social Networks, Media and Advertising in a Converged Ecosystem Social media marketing is a mechanism to interact with a set of online social media conversations from a marketing perspective, based on converged media (since conversations span technologies and media). Social media marketing is measurable via a set of social media metrics. These metrics function as the proverbial 'air traffic control' monitoring the
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of
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