TO BUILD WINNING TEAMS AND SUCCESSFUL SPORTS BUSINESSES, GUIDE YOUR DECISIONS WITH DATA This up-to-the-minute reference will help you master all three facets of sports analytics – and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations—not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R and Python code, interpreting your results, and more. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business. Whether you’re a team executive, coach, fan, fantasy player, or data scientist, this guide will be a powerful source of competitive advantage… in any sport, by any measure. All data sets, extensive R and Python code, and additional examples available for download at http://www.ftpress.com/miller/ This exceptionally complete and practical guide to sports data science and modeling teaches through realistic examples from sports industry economics, marketing, management, performance measurement, and competitive analysis. Thomas W. Miller, faculty director of Northwestern University’s pioneering Predictive Analytics program, shows how to use advanced measures of individual and team performance to judge the competitive position of both individual athletes and teams, and to make more accurate predictions about their future performance. Miller’s modeling techniques draw on methods from economics, accounting, finance, classical and Bayesian statistics, machine learning, simulation, and mathematical programming. Miller illustrates them through realistic case studies, with fully worked examples in both R and Python. Sports Analytics and Data Science will be an invaluable resource for everyone who wants to seriously investigate and more accurately predict player, team, and sports business performance, including students, teachers, sports analysts, sports fans, trainers, coaches, and team and sports business managers. It will also be valuable to all students of analytics and data science who want to build their skills through familiar and accessible sports applications Gain powerful, actionable insights for: Understanding sports markets Assessing players Ranking teams Predicting scores Making game day decisions Crafting marketing messages Promoting brands and products Growing revenues Managing finances Playing what-if games And much more

"Apache Cassandra Essentials" is your guide to understanding and mastering the core concepts of Apache Cassandra. Whether you're setting up your first Cassandra cluster or optimizing performance, this book provides actionable steps and insights to help you design highly responsive database architectures. What this Book will help me do Set up and configure a Cassandra cluster for optimal performance. Design schemas in Cassandra using CQL for evenly distributed data. Employ tools to monitor and maintain Cassandra clusters effectively. Debug queries to improve database query performance. Tune Cassandra to adapt to specific operational environments. Author(s) Nitin Padalia, the author, is an experienced database engineer with a deep understanding of distributed systems. With years of experience working with Apache Cassandra and similar technologies, he has dedicated his efforts to simplifying complex concepts for developers. His clear and straightforward writing helps readers build expertise efficiently. Who is it for? This book is perfect for developers who are already familiar with Cassandra and want a deeper understanding of its architecture and functionality. If you're interested in diving into the non-relational aspects of Cassandra or need guidance on database optimization, you'll find this book invaluable. It's designed for those ready to advance their skills and maximize the potential of their Cassandra deployments.

IBM® Spectrum Virtualize Software Version 7.5 provides software-defined storage capabilities across various platforms, including IBM SAN Volume Controller, IBM Storwize® V7000, Storwize V7000 (Unified), Storwize V5000, Storwize V3700, and Storwize V3500. These offerings help clients reduce the complexities and cost of managing their storage in the following ways: Centralizing management of storage volumes to enable administrators to manage storage volumes from a single point Improving utilization of storage capacity with virtual volumes to enable businesses to tap into previously unused disk capacity Avoiding downtime for backups, maintenance, and upgrades Performing data migration without disruption to applications Enabling all storage devices to be organized into storage pools from which virtual volumes, whether standard, compressed, or thin-provisioned, are created with the characteristics that you want Delivering automation of storage management with SmartCloud Virtual Storage Center, IBM Tivoli® Storage Productivity Center (as applicable by platform), and IBM Tivoli Storage FlashCopy® Manager (as applicable by platform) Increasing the performance efficiency of storage pools with IBM Easy Tier® Restoring data access quickly with near and remote copy capabilities across Fibre Channel (FC), Fibre Channel over Ethernet (FCoE), and IP networks In this IBM Redbooks® publication, which is aimed at storage administrators and technical professionals, we describe the IBM HyperSwap® capability in IBM Spectrum™ Virtualize Software V7.5. HyperSwap delivers high availability (HA) and disaster recovery (DR) in one solution and reuses capital investments to achieve a range of recovery and management options that are transparent to host operations. This book describes how you can use HyperSwap with VMware to create an environment that can withstand robust workloads.

This IBM® Redbooks® publication helps you with the integration of IBM PureApplication® System and IBM PureApplication Software into an existing data center. This publication describes certain scenarios that are considered critical (based on IBM client experiences) for a successful implementation of PureApplication Software or PureApplication System into an existing data center. It covers the planning, installation, and configuration of both PureApplication System and PureApplication Software. Both PureApplication System and PureApplication Software offer on-premises solutions that use proven patterns to extend your applications, reduce cost and complexity, and ease management. This book is useful for solution specialists, system or software architects, and the IT teams who need more in-depth knowledge about the integration of PureApplication System and PureApplication Software.

Contains the complete reference for all Base SAS procedures. Provides information about what each procedure does and, if relevant, the kind of output that it produces.

Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications. About the Technology Modern search seems like magic'you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages. What's Inside What is a great search application? Building scalable search solutions Using Elasticsearch with any language Configuration and tuning About the Reader This book is for developers and administrators building and managing search-oriented applications. About the Authors Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics. Quotes To understand how a modern search infrastructure works is a daunting task. Radu, Matt, and Roy make it an engaging, hands-on experience. - Sen Xu, Twitter Inc. An indispensable guide to the challenges of search of semi-structured data. - Artur Nowak, Evidence Prime The best resource for a complex topic. Highly recommended. - Daniel Beck, juris GmbH Took me from confused to confident in a week. - Alan McCann, Givsum.com

Gain a competitive edge with IBM Streams Turn data-in-motion into solid business opportunities with IBM Streams and let Streaming Analytics with IBM Streams show you how. This comprehensive guide starts out with a brief overview of different technologies used for big data processing and explanations on how data-in-motion can be utilized for business advantages. You will learn how to apply big data analytics and how they benefit from data-in-motion. Discover all about Streams starting with the main components then dive further with Stream instillation, and upgrade and management capabilities including tools used for production. Through a solid understanding of big in motion, detailed illustrations, Endnotes that provide additional learning resources, and end of chapter summaries with helpful insight, data analysists and professionals looking to get more from their data will benefit from expert insight on: Data-in-motion processing and how it can be applied to generate new business opportunities The three approaches to processing data in motion and pros and cons of each The main components of Streams from runtime to installation and administration Multiple purposes of the Text Analytics toolkit The evolving Streams ecosystem A detailed roadmap for programmers to quickly become fluent with Streams Data-in-motion is rapidly becoming a business tool used to discover more about customers and opportunities, however it is only valuable if have the tools and knowledge to analyze and apply. This is an expert guide to IBM Streams and how you can harness this powerful tool to gain a competitive business edge.

Leaders and Managers want quick answers, quick ways to reach solutions, ways and means to access knowledge that won’t eat into their precious time and quick ideas that deliver a big result. The Little Book of Big Decision Models cuts through all the noise and gives managers access to the very best decision-making models that they need to to keep things moving forward. Every model is quick and easy to read and delivers the essential information and know-how quickly, efficiently and memorably.

Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. This O’Reilly report examines how today’s distributed, in-memory database management systems (IMDBMS) enable you to make quick decisions based on real-time data. In this report, executives from MemSQL Inc. provide options for using in-memory architectures to build real-time data pipelines. If you want to instantly track user behavior on websites or mobile apps, generate reports on a changing dataset, or detect anomalous activity in your system as it occurs, you’ll learn valuable lessons from some of the largest and most successful tech companies focused on in-memory databases. Explore the architectural principles of modern in-memory databases Understand what’s involved in moving from data silos to real-time data pipelines Run transactions and analytics in a single database, without ETL Minimize complexity by architecting a multipurpose data infrastructure Learn guiding principles for developing an optimally architected operational system Provide persistence and high availability mechanisms for real-time data Choose an in-memory architecture flexible enough to scale across a variety of deployment options Conor Doherty, Data Engineer at MemSQL, is responsible for creating content around database innovation, analytics, and distributed systems. Gary Orenstein, Chief Marketing Officer at MemSQL, leads marketing strategy, product management, communications, and customer engagement. Kevin White is the Director of of Operations and a content contributor at MemSQL. Steven Camiña is a Principal Product Manager at MemSQL. His experience spans B2B enterprise solutions, including databases and middleware platforms.

This guide explains how to apply health economic evaluation techniques to both clinical trial and non-clinical trial data. Through a simple, applied approach using examples and SAS software, the book helps statisticians and researchers in health economics assess cost-effectiveness. It covers trial design, case report form design, quality of life measures, sample sizes, submissions to regulatory authorities for reimbursement, Markov models, cohort models, and decision trees. Examples and case studies are provided at the end of each chapter.

This book shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. The book uses the authors' R package spatstat throughout to process and analyze spatial point pattern data.

Don’t let your fear of finance get in the way of your success. This digital collection, curated by Harvard Business Review, brings together everything a manager needs to know about financial intelligence. It includes Financial Intelligence, called a “must-read” for decision makers without expertise in finance; A Concise Guide to Macroeconomics, which covers the essentials of macroeconomics and examines the core ideas of output, money, and expectations; Essentials of Finance and Budgeting, which explains everything HR professionals need to know to make wise financial decisions; Ahead of the Curve, Joseph H. Ellis’s forecasting method to help managers and investors understand and predict the economic cycles that control their businesses and financial fates; Beyond Budgeting; which offers a coherent management model that overcomes the limitations of traditional budgeting; Preparing a Budget, packed with handy tools, self-tests, and real life examples to help you hone critical skills; and HBR Guide to Finance Basics for Managers, which will give you the tools and confidence you need to master the fundamentals of finance.

Dive into 'Mastering SciPy' to unlock the full potential of the SciPy ecosystem for scientific computation and data analysis. This book thoughtfully combines mathematical concepts with Python programming to tackle real-world computational challenges. What this Book will help me do Effectively implement algorithms for data interpolation, approximation, and function optimization. Develop strategies for managing large datasets and performing linear algebra computations. Create and solve differential equations for scientific modeling and simulations. Apply advanced data analysis, statistical methods, and machine learning algorithms. Utilize computational geometry techniques for applications in engineering and data science. Author(s) The authors, None Blanco-Silva and Francisco Javier B Silva, are practitioners and educators in scientific computing and Python programming. They bring a wealth of experience in using SciPy to solve practical scientific challenges. Their clear and engaging approach makes these complex topics accessible and applicable. Who is it for? This book is tailored for professionals and researchers who use Python and are familiar with numerical methods. If you are looking to deepen your understanding of SciPy's capabilities to solve scientific and engineering problems, this book is ideal for you. Readers with a background in IPython and computational mathematics will benefit the most. Beginners in scientific Python can also learn by following the hands-on examples and clear explanations.

Dive into the world of QlikView with 'QlikView Unlocked,' a comprehensive guide to mastering this powerful business intelligence tool. This book is packed with practical tips, actionable advice, and hands-on techniques to help you design, develop, and optimize QlikView applications efficiently. Whether you're looking to improve your scripting skills, enhance data visualization, or streamline your project workflows, this book covers it all. What this Book will help me do You will learn how to effectively build and configure the QlikView environment for robust and flexible solutions. Gain expertise in applying QlikView development best practices to create optimized and efficient projects. Learn advanced techniques for data modeling and service integration to enhance project scalability. Find out how to troubleshoot and solve common challenges in server deployment and publisher setups. Master data visualization strategies and create stunning, user-friendly dashboards leveraging QlikView's capabilities. Author(s) Roger Stone and Andrew Dove are experienced QlikView developers and consultants with years of practice in delivering optimal business intelligence solutions. They are passionate about sharing their knowledge to empower developers of all levels to realize the potential of QlikView. Their writing is approachable, focusing on practical applications and actionable guidance. Who is it for? This book is ideal for professionals involved in designing or supporting QlikView applications, ranging from beginners getting their first exposure to data-driven decision making to seasoned developers looking for advanced techniques. It's perfect for consultants, data analysts, or anyone seeking to refine their QlikView skills and create impactful business intelligence solutions.

Dive into "Kibana Essentials" and discover how to efficiently analyze data and create visually engaging visualizations and dashboards with Kibana. Whether you are new to Kibana or looking to enhance your skills, this book provides practical guidance to help you apply Kibana features to real-world scenarios. By the end, you'll have the skills to create and apply dashboards that run on Elasticsearch. What this Book will help me do Understand the core features and setup process of Kibana on both Windows and Ubuntu platforms. Master the Discover, Visualize, Dashboard, and Settings functionalities in Kibana. Utilize Elasticsearch's search capabilities to analyze data in Kibana. Create, customize, and share stunning visualizations and dashboards for various use cases. Gain advanced knowledge to tweak Kibana settings for optimized workflows. Author(s) None Gupta is an experienced author and data professional who has worked extensively with Kibana and Elasticsearch technologies. With a passion for simplifying complex concepts, None specializes in breaking down technical topics into digestible, actionable steps. Their practical approach ensures that learners can confidently apply knowledge immediately after reading. Who is it for? This book is for professionals or enthusiasts aiming to delve into data visualization using Kibana. Whether starting from scratch or familiar with similar tools, readers will find the foundational to advanced techniques invaluable. It's especially suited for those who want a practical, hands-on approach to mastering Kibana.

Deliver continuous access to timely and accurate BI across your enterprise using the detailed information in this Oracle Press guide. Through clear explanations and practical examples, a team of Oracle experts shows how to assimilate data from disparate sources into a single, unified view. Find out how to transform data in real time, handle replication and migration, and deploy Oracle Data Integrator and Oracle GoldenGate. Oracle Data Integration: Tools for Harnessing Data offers complete coverage of the latest “big data” hardware and software solutions . · Efficiently move data both inside and outside an Oracle environment · Map sources to database fields using Data Merge and ETL · Export schema through transportable tablespaces and Oracle Data Pump · Capture and apply changes across heterogeneous systems with Oracle GoldenGate · Seamlessly exchange information between databases using Oracle Data Integrator · Correct errors and maximize quality through data cleansing and validation · Plan and execute successful Oracle Database migrations and replications · Handle high-volume transactions with Oracle Big Data Appliance, Oracle NoSQL, and third-party utilities

Cassandra Design Patterns is your guide to harnessing the full potential of Apache Cassandra's distributed database capabilities through advanced design practices. Whether you're migrating from an RDBMS or implementing scalable storage for big data, this book provides clear strategies, practical examples, and real-world use cases demonstrating effective design patterns. What this Book will help me do Learn to integrate Cassandra with existing RDBMS solutions, enabling hybrid data architecture. Understand and implement key design patterns for distributed, scalable databases. Master the transition from RDBMS or cache systems to Cassandra with minimal disruption. Dive into time-series and temporal data patterns unique to Cassandra's strengths. Apply learned design patterns directly to real-world big data scenarios for analytics. Author(s) Rajanarayanan Thottuvaikkatumana, the author of Cassandra Design Patterns, is an expert in distributed systems and holds extensive experience in designing and implementing big data solutions. His hands-on approach to Cassandra is evident throughout the book as he bridges theoretical knowledge with practical applications. Rajanarayanan's approachable writing style aims to make complex concepts accessible. Who is it for? This book is ideal for big data developers and system architects who are familiar with the basics of Cassandra and are looking to deepen their understanding of design patterns for robust applications. Readers should have experience with relational databases and desire to migrate or integrate these concepts with NoSQL systems. Whether you're building solutions for data scalability, high availability, or analytics, Cassandra Design Patterns positions itself as an essential resource.

Master database creation and management Access 2016 Bible is your, comprehensive reference to the world's most popular database management tool. With clear guidance toward everything from the basics to the advanced, this go-to reference helps you take advantage of everything Access 2016 has to offer. Whether you're new to Access or getting started with Access 2016, you'll find everything you need to know to create the database solution perfectly tailored to your needs, with expert guidance every step of the way. The companion website features all examples and databases used in the book, plus trial software and a special offer from Database Creations. Start from the beginning for a complete tutorial, or dip in and grab what you need when you need it — this book gives you an expert Access 2016 companion on call 24/7. Access enables database novices and programmers to store, organize, view, analyze, and share data, as well as build powerful, integrable, custom database solutions — but databases can be complex, and difficult to navigate. This book helps you harness the power of the database with a solid understanding of their purpose, construction, and application. Understand database objects and design systems objects Build forms, create tables, manipulate datasheets, and add data validation Use Visual Basic automation and XML Data Access Page design Exchange data with other Office applications, including Word, Excel, and more From database fundamentals and terminology to XML and Web services, this book has everything you need to maximize Access 2016 and build the database you need.

Your all-access guide to all things Access 2016 If you don't know a relational database from an isolationist table—but still need to figure out how to organize and analyze your data— Access 2016 For Dummies is for you. Written in a friendly and accessible manner, it assumes no prior Access or database-building knowledge and walks you through the basics of creating tables to store your data, building forms that ease data entry, writing queries that pull real information from your data, and creating reports that back up your analysis. Add in a dash of humor and fun, and Access 2016 For Dummies is the only resource you'll need to go from data rookie to data pro! This expanded and updated edition of Access For Dummies covers all of the latest information and features to help data newcomers better understand Access' role in the world of data analysis and data science. Inside, you'll get a crash course on how databases work—and how to build one from the ground up. Plus, you'll find step-by-step guidance on how to structure data to make it useful, manipulate, edit, and import data into your database, write and execute queries to gain insight from your data, and report data in elegant ways. Speak the lingo of database builders and create databases that suit your needs Organize your data into tables and build forms that ease data entry Query your data to get answers right Create reports that tell the story of your data findings If you have little to no experience with creating and managing a database of any sort, Access 2016 For Dummies is the perfect starting point for learning the basics of building databases, simplifying data entry and reporting, and improving your overall data skills.

Unchain your data from the desktop with responsive visualizations Building Responsive Data Visualization for the Web is a handbook for any front-end development team needing a framework for integrating responsive web design into the current workflow. Written by a leading industry expert and design lead at Starbase Go, this book provides a wealth of information and practical guidance from the perspective of a real-world designer. You'll walk through the process of building data visualizations responsively as you learn best practices that build upon responsive web design principles, and get the hands-on practice you need with exercises, examples, and source code provided in every chapter. These strategies are designed to be implemented by teams large and small, with varying skill sets, so you can apply these concepts and skills to your project right away. Responsive web design is the practice of building a website to suit base browser capability, then adding features that enhance the experience based on the user's device's capabilities. Applying these ideas to data produces visualizations that always look as if they were designed specifically for the device through which they are viewed. This book shows you how to incorporate these principles into your current practices, with highly practical hands-on training. Examine the hard data surrounding responsive design Master best practices with hands-on exercises Learn data-based document manipulation using D3.js Adapt your current strategies to responsive workflows Data is growing exponentially, and the need to visualize it in any context has become crucial. Traditional visualizations allow important data to become lost when viewed on a small screen, and the web traffic speaks for itself – viewers repeatedly demonstrate their preference for responsive design. If you're ready to create more accessible, take-anywhere visualizations, Building Responsive Data Visualization for the Web is your tailor-made solution.