Real Time Analyse
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Real Time Analytics
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Author : Byron Ellis
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-23
Real Time Analytics written by Byron Ellis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-23 with Computers categories.
Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, 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. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
Real Time Analytics
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Author : Byron Ellis
language : en
Publisher: CreateSpace
Release Date : 2014-09-30
Real Time Analytics written by Byron Ellis and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Computers categories.
Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, 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. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
Real Time Data Analytics For Large Scale Sensor Data
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Author : Himansu Das
language : en
Publisher: Academic Press
Release Date : 2019-08-31
Real Time Data Analytics For Large Scale Sensor Data written by Himansu Das and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-31 with Science categories.
Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments
A Practitioner S Handbook For Real Time Analysis
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Author : Mark Klein
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
A Practitioner S Handbook For Real Time Analysis written by Mark Klein and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems contains an invaluable collection of quantitative methods that enable real-time system developers to understand, analyze, and predict the timing behavior of many real-time systems. The methods are practical and theoretically sound, and can be used to assess design tradeoffs and to troubleshoot system timing behavior. This collection of methods is called rate monotonic analysis (RMA). The Handbook includes a framework for describing and categorizing the timing aspects of real-time systems, step-by-step techniques for performing timing analysis, numerous examples of real-time situations to which the techniques can be applied, and two case studies. A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems has been created to serve as a definitive source of information and a guide for developers as they analyze and design real-time systems using RMA. The Handbook is an excellent reference, and may be used as the text for advanced courses on the subject.
Artificial Intelligence In Real Time Control 1992
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Author : M.G. Rodd
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Artificial Intelligence In Real Time Control 1992 written by M.G. Rodd and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Technology & Engineering categories.
The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.
Mastering Real Time Analytics In Big Data A Comprehensive Guide For Everyone
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Author : Lennox Mark
language : en
Publisher: Sunshine
Release Date : 2023-12-02
Mastering Real Time Analytics In Big Data A Comprehensive Guide For Everyone written by Lennox Mark and has been published by Sunshine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-02 with categories.
Understanding Big Data and Real-Time AnalyticsIn today's digital age, data is being generated at an unprecedented rate. Every day, we create 2.5 quintillion bytes of data, and this number is expected to increase exponentially in the coming years. This explosion of data has given rise to the concept of Big Data Analytics, which involves extracting useful insights from massive datasets. In this subchapter, we will delve into the world of Big Data and explore the fascinating field of real-time analytics. Big Data refers to extremely large and complex datasets that cannot be effectively processed using traditional data processing techniques. It encompasses structured, semi-structured, and unstructured data from various sources, including social media, sensors, and transactional systems. The immense volume, velocity, and variety of Big Data pose significant challenges in terms of storage, processing, and analysis. Real-time analytics, on the other hand, is the practice of analyzing data as it is generated, enabling organizations to make immediate, data-driven decisions. Real-time analytics leverages advanced technologies such as machine learning, artificial intelligence, and predictive modeling to extract valuable insights from streaming data. By analyzing data in real-time, organizations can detect anomalies, identify trends, and respond quickly to changing market conditions. The combination of Big Data and real-time analytics offers numerous benefits across industries. For instance, in healthcare, real-time analytics can help monitor patient vitals in real-time, enabling doctors to detect any abnormalities and provide timely interventions. In finance, real-time analytics can detect fraudulent transactions and trigger immediate alerts to prevent financial losses. In retail, real-time analytics can provide personalized recommendations to customers based on their browsing and purchase history. To effectively harness the power of Big Data and real-time analytics, organizations need robust infrastructure and advanced analytics tools. This includes distributed storage systems like Hadoop, which can handle large volumes of data, and stream processing frameworks like Apache Kafka, which can ingest and process real-time data streams. Additionally, organizations need skilled data scientists and analysts who can interpret the results and translate them into actionable insights.
New Horizons For A Data Driven Economy
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Author : José María Cavanillas
language : en
Publisher: Springer
Release Date : 2016-04-04
New Horizons For A Data Driven Economy written by José María Cavanillas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-04 with Computers categories.
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Streaming Data
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Author : Andrew Psaltis
language : en
Publisher: Simon and Schuster
Release Date : 2017-05-31
Streaming Data written by Andrew Psaltis and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-31 with Computers categories.
Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time
Streaming Analytics With Ibm Streams
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Author : Jacques Roy
language : en
Publisher: Wiley
Release Date : 2016-02-29
Streaming Analytics With Ibm Streams written by Jacques Roy and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-29 with Parallel processing (Electronic computers) categories.
Understand how the integration of multiple technologies form a big data architecture that can process data, both at rest and in motion Learn how real-time distributed analytics can provide insights to create a business advantage and currently unseen opportunities Discover the ways to implement a data-in-motion solution that works for your environment Explore the characteristics that make a good real-time distributed analytics platform Learn how to apply IBM® Streams technology to your business problems to get solutions faster Learn about the concept of data-in-motion and Streams, the world's fastest and most flexible platform for streaming data IBM® Streams provides a new approach to processing information by providing an easy-to-program platform for distributed real-time analytics that can answer the need to generate information from the huge amount of data that comes at businesses rapidly. In Streaming Analytics with IBM® Streams, discover how distributed real-time analytics can uncover opportunities in your enterprise by providing more efficiency and a business advantage. Technology is changing rapidly, and there is so much of it to learn. This book gives you a shortcut to becoming proficient with IBM® Streams so that you can dive into implementing a solution for your enterprise. Learn more at ibm.com/software/data/bigdata/.
Timing Analysis Of Real Time Software
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Author : L. Motus
language : en
Publisher: Pergamon
Release Date : 1994
Timing Analysis Of Real Time Software written by L. Motus and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
a practical approach to the specification and design of real-time embedded software with an emphasis on timing correctness. The method uses the Q-model, a technique which adds explicit timing parameters to data flow or object-modeling diagrams, supported by a flexible time-selective, process interaction mechanism.