Real-Time Analytics
Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics - expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. ...
Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics - expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. ...
NHibernate 2
NHibernate is an open source object-relational mapper, or simply put, a way to retrieve data from your database into standard .NET objects. Quite often we spend hours designing the database, only to go back and re-design a mechanism to access that data and then optimize that mechanism. This book will save you time on your project, providing all the information along with concrete examples about the use and optimization of NHibernate. This book is an approachable, detailed introduction to the NHibernate object-relational mapper and how to integrate it with your .NET projects. If you're tired of writing stored procedures or maintaining inline SQL, this is the book for you. ...
NHibernate is an open source object-relational mapper, or simply put, a way to retrieve data from your database into standard .NET objects. Quite often we spend hours designing the database, only to go back and re-design a mechanism to access that data and then optimize that mechanism. This book will save you time on your project, providing all the information along with concrete examples about the use and optimization of NHibernate. This book is an approachable, detailed introduction to the NHibernate object-relational mapper and how to integrate it with your .NET projects. If you're tired of writing stored procedures or maintaining inline SQL, this is the book for you. ...
Microsoft Excel 2013 Data Analysis and Business Modeling
Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables - and how to effectively build a relational data source inside an Excel workbook. ...
Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables - and how to effectively build a relational data source inside an Excel workbook. ...
Programming Sound with Pure Data
Sound gives your native, web, or mobile apps that extra dimension, and it's essential for games. Rather than using canned samples from a sample library, learn how to build sounds from the ground up and produce them for web projects using the Pure Data programming language. Even better, you'll be able to integrate dynamic sound environments into your native apps or games-sound that reacts to the app, instead of sounding the same every time. Start your journey as a sound designer, and get the power to craft the sound you put into your digital experiences. Add sound effects or music to your web, Android, and iOS apps and games--sound that can react to changing environments or user input dynamically (at least in the native apps). You can do all this with Pure Data, a visual programming language for digital sound processing. ...
Sound gives your native, web, or mobile apps that extra dimension, and it's essential for games. Rather than using canned samples from a sample library, learn how to build sounds from the ground up and produce them for web projects using the Pure Data programming language. Even better, you'll be able to integrate dynamic sound environments into your native apps or games-sound that reacts to the app, instead of sounding the same every time. Start your journey as a sound designer, and get the power to craft the sound you put into your digital experiences. Add sound effects or music to your web, Android, and iOS apps and games--sound that can react to changing environments or user input dynamically (at least in the native apps). You can do all this with Pure Data, a visual programming language for digital sound processing. ...
Creating Business Agility
Creating Business Agility provides a game plan for integrating technology to build a smarter, more customer-centric business. Using a series of case studies as examples throughout, the book describes the agility that comes from collaborative commerce, and provides key decision makers the implementation roadmap they need to build a successful business ecosystem. The focus is on Business Agility Readiness in terms of the five major changes affecting the information technology landscape, and how data-driven delivery platforms and decision-making processes are being reinvented using digital relationships with a social business model as the consumer world of technology drives innovation and collaboration. ...
Creating Business Agility provides a game plan for integrating technology to build a smarter, more customer-centric business. Using a series of case studies as examples throughout, the book describes the agility that comes from collaborative commerce, and provides key decision makers the implementation roadmap they need to build a successful business ecosystem. The focus is on Business Agility Readiness in terms of the five major changes affecting the information technology landscape, and how data-driven delivery platforms and decision-making processes are being reinvented using digital relationships with a social business model as the consumer world of technology drives innovation and collaboration. ...
A Practical Guide to Data Mining for Business and Industry
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest. ...
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest. ...
Big Data, Data Mining, and Machine Learning
Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. ...
Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. ...
Big Data, Big Innovation
Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. ...
Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. ...
Data Science at the Command Line
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started - whether you're on Windows, OS X, or Linux - author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line. ...
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started - whether you're on Windows, OS X, or Linux - author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line. ...
Getting Started with Oracle Data Integrator 11g
Discover the comprehensive and sophisticated orchestration of data integration tasks made possible with ODI, including monitoring and error-management. Get to grips with the product architecture and building data integration processes with technologies including Oracle, Microsoft SQL Server and XML files. A comprehensive tutorial packed with tips, images and best practices. ...
Discover the comprehensive and sophisticated orchestration of data integration tasks made possible with ODI, including monitoring and error-management. Get to grips with the product architecture and building data integration processes with technologies including Oracle, Microsoft SQL Server and XML files. A comprehensive tutorial packed with tips, images and best practices. ...