big data PDF: 11 to 20 of 1000 results fetched - page 2 [ec]

Zoolz is the only cloud solution that keeps your data even when you disconnect your drives
Get full control over PDFs. Edit, combine, transform and organize PDFs.

Big Data

www.ebooks.com/cj.asp?IID=2615170&cjsku=2615170...
Dieser Herausgeber-Band bietet eine umfassende Einfhrung in das Gebiet Big Data. Neben einer Markteinschtzung und grundlegenden Konzepten (semantische Modellbildung, Anfragesprachen, Konsistenzgewhrung etc.) werden wichtige NoSQL-Systeme (Key/Value Store, Column Store, Document Store, Graph Database) vorgestellt und erfolgreiche Anwendungen aus unterschiedlichen Perspektiven erlutert. Eine Diskussion rechtlicher Aspekte und ein Vorschlag zum Berufsbild des Data Scientist runden das Buch ab. Damit erhlt die Leserschaft Handlungsempfehlungen fr die Nutzung von Big-Data-Technologien im Unternehmen.
Category: Business. ISBN: 9783658115883

Big Data

www.ebooks.com/cj.asp?IID=1812807&cjsku=1812807...
As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.
Category: Technology. ISBN: 9781482240559

Big Data

www.ebooks.com/cj.asp?IID=2580417&cjsku=2580417...
What is Big Data, and why should you care? Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can. Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book. Starting with the basics what IS data? And what makes it big? Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data.
Category: Business. ISBN: 9781472920072

Big Data

www.ebooks.com/cj.asp?IID=1650370&cjsku=1650370...
This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to technologies, governance and intellectual property and security issues surrounding big data.
Category: Business. ISBN: 1780172621

Big Data

www.ebooks.com/cj.asp?IID=1731111&cjsku=1731111...
This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
Category: Computers. ISBN: 9783319062440

Big Data

www.ebooks.com/cj.asp?IID=2606226&cjsku=2606226...
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applications Addresses key principles underlying Big Data computing Examines key developments supporting next generation Big Data platforms Explores the challenges in Big Data computing and ways to overcome them Contains expert contributors from both academia and industry
Category: Computers. ISBN: 9780128053942

Big Data, Big Innovation

www.ebooks.com/cj.asp?IID=1729078&cjsku=1729078...
A practical guide to leveraging your data to spur innovation and 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: Enabling Competitive Differentiation Through Business Analytics 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. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.
Category: Business. ISBN: 9781118724644

Big Data, Big Analytics

www.ebooks.com/cj.asp?IID=818100&cjsku=818100...
Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Category: Business. ISBN: 9781118147603

Smart Data statt Big Data

www.ebooks.com/cj.asp?IID=2089486&cjsku=2089486...
Welche Produkte kann ich meinen Kunden aufgrund ihrer vorherigen Kufe noch anbieten? Wie kann ich meine Abstze vorhersagen oder Kosten optimieren? Wie kann ich Kundenmails automatisch analysieren? Wenn Sie sich diese oder hnliche Fragen stellen, finden Sie in diesem Buch die passenden Antworten. Es richtet sich an alle, die eine gewisse Menge Daten haben und ahnen, dass darin wertvolle Erkenntnisse schlummern, die aber nicht wissen, wie sie sie herauskitzeln knnen. Data-Science-Spezialist John Foreman zeigt Ihnen, wie auch kleinere Unternehmen von Big-Data-Anstzen profitieren und dass Sie dafr nicht mehr bentigen als grundlegende Mathekenntnisse und ein Tabellenkalkulationsprogramm wie Microsoft Excel oder LibreOffice Calc. Nach ein paar ntzlichen allgemeinen Hinweisen zu Excel lernen Sie an realistischen Businessbeispielen, mit welchen Verfahren Sie Kunden clustern, Dokumente klassifizieren, Investitionen und Gewinne optimieren, Prognosen ber zuknftige Abverkufe treffen und wichtige Ausreier identifizieren. Alle Verfahren sind genauso verstndlich wie unterhaltsam erklrt und damit Sie sie direkt selbst ausprobieren knnen, finden Sie alle Beispieldaten zum Download auf der Website des Verlags. Wenn Sie im Anschluss daran noch tiefer in die Datenanalyse einsteigen mchten, zeigt Ihnen ein kurzer Ausblick auf die Programmiersprache R, was noch alles mglich ist. So sind Sie optimal gerstet und holen in Zukunft das Beste aus Ihren Daten heraus!
Category: Mathematics. ISBN: 9783527760602

Data Mining and Big Data

www.ebooks.com/cj.asp?IID=2641495&cjsku=2641495...
The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016. The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.
Category: Computers. ISBN: 9783319409726
Previous1 [2] 3456Next