Big Data Analytics Strategies for the Smart Grid

Author: Carol L. Stimmel

Publisher: CRC Press

ISBN: 1482218291

Category: Computers

Page: 256

View: 5910

By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers’ right to privacy while still engaging in forward-looking business practices. The book includes discussions of: SAS for asset management tools The AutoGrid approach to commercial analytics Space-Time Insight’s work at the California ISO (CAISO) This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs. At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.

Standard Handbook for Electrical Engineers, Seventeenth Edition

Author: Surya Santoso,H. Wayne Beaty

Publisher: McGraw Hill Professional

ISBN: 1259642593

Category: Technology & Engineering

Page: 1633

View: 8293

Up-to-date coverage of every facet of electric power in a single volume This fully revised, industry-standard resource offers practical details on every aspect of electric power engineering. The book contains in-depth discussions from more than 100 internationally recognized experts. Generation, transmission, distribution, operation, system protection, and switchgear are thoroughly explained. Standard Handbook for Electrical Engineers, Seventeenth Edition, features brand-new sections on measurement and instrumentation, interconnected power grids, smart grids and microgrids, wind power, solar and photovoltaic power generation, electric machines and transformers, power system analysis, operations, stability and protection, and the electricity market. Coverage includes: •Units, symbols, constants, definitions, and conversion factors •Measurement and instrumentation •Properties of materials •Interconnected power grids •AC and DC power transmission •Power distribution •Smart grids and microgrids •Wind power generation •Solar power generation and energy storage •Substations and switch gear •Power transformers, generators, motors, and drives •Power electronics •Power system analysis, operations, stability, and protection •Electricity markets •Power quality and reliability •Lightning and overvoltage protection •Computer applications in the electric power industry •Standards in electrotechnology, telecommunications, and IT

Building Smart Cities

Analytics, ICT, and Design Thinking

Author: Carol L. Stimmel

Publisher: CRC Press

ISBN: 1498702775

Category: Computers

Page: 290

View: 905

The term "smart city" defines the new urban environment, one that is designed for performance through information and communication technologies. Given that the majority of people across the world will live in urban environments within the next few decades, it's not surprising that massive effort and investment is being placed into efforts to devel

Smart Grid using Big Data Analytics

A Random Matrix Theory Approach

Author: Robert C. Qiu,Paul Antonik

Publisher: John Wiley & Sons

ISBN: 1118716809

Category: Technology & Engineering

Page: 632

View: 2411

This book is aimed at students in communications and signal processing who want to extend their skills in the energy area. It describes power systems and why these backgrounds are so useful to smart grid, wireless communications being very different to traditional wireline communications.

Wärmetechnik

Author: Klaus Endrullat,Peter Epinatjeff,Dieter Petzold,Hubertus Protz

Publisher: Springer-Verlag

ISBN: 3662070278

Category: Technology & Engineering

Page: 468

View: 1212

Die rationelle Energieverwendung im Bereich wärmetechnischer Systeme hat im mittel europäischen Raum einen hohen Stellenwert, da bei der überwiegenden Anzahl der Haus halte und Gewerbebetriebe der Energieverbrauch zur Wärmeerzeugung den größten An teil am Gesamtenergieverbrauch hat. Das Ziel des vorliegenden Bandes ist es, dem Leser die Vorgehensweise 'zur Beurteilung wärmetechnischer Systeme und energiesparender Maßnahmen zu vermitteln. Schwerpunktmäßig werden die Heiz- und Raumlufttechnik im Umfeld des Menschen behandelt, während das Gebiet der Prozeßwärme für die indu strielle Anwendung aus Gründen des Umfanges nur ansatzweise erörtert werden konnte. Der Anspruch dieses Buches liegt auf einer Ebene, welche bewußt nicht die Einzellösung hervorhebt, da sich das Optimum eines Gesamtsystems noch längst nicht einstellen muß, wenn die Teilsysteme optimiert sind. Das Verständnis der Verzahntheit des vorliegenden Gebietes mit anderen Fachgebieten ist deshalb eine wesentliche Voraussetzung für ko ordinierte Maßnahmen zur rationellen Energieverwendung. Diesem Umstand wird durch zahlreiche qualitative Systembetrachtungen und Zahlenbeispiele Rechnung getragen. Im ersten Abschnitt werden die speziellen Grundlagen der Heiz- und Raumlufttechnik be handelt. Dazu zählen Kenntnisse über technische Funktionsabläufe und die Behaglich keitsanforderungen des Menschen, zu deren Aufrechterhaltung diese Anlagen gebaut werden. Anlagentechnische Maßnahmen zur Energieeinsparung müssen sich immer an der Erfüllung der Behaglichkeitsanforderungen messen lassen. Weiterhin gehört es auch zu einer wirkungsvollen Energieberatung, Maßnahmen an gebäudetechnischen Anlagen als Teilmaßnahme am Gesamtsystem Gebäude zu verstehen, weil durch den Umfang der Systemverbesserung (energetisch-ökonomisch) letztlich die Rangfolge der durchzuführen den Maßnahmen bestimmt wird.

Exploring the Convergence of Big Data and the Internet of Things

Author: Prasad, A.V. Krishna

Publisher: IGI Global

ISBN: 1522529489

Category: Computers

Page: 332

View: 1032

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.

Big Data Analytics for Connected Vehicles and Smart Cities

Author: Bob McQueen

Publisher: Artech House

ISBN: 1630814741

Category: Computers

Page: 280

View: 2257

This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field. Both federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Author: IBM Paul Zikopoulos,Chris Eaton,Paul Zikopoulos

Publisher: McGraw Hill Professional

ISBN: 0071790535

Category: Computers

Page: 176

View: 5182

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Smart Cities

Foundations, Principles, and Applications

Author: Houbing Song,Ravi Srinivasan,Tamim Sookoor,Sabina Jeschke

Publisher: John Wiley & Sons

ISBN: 1119226392

Category: Social Science

Page: 912

View: 4710

Cyber physical systems in smart cities : mastering technological, economic and social challenges / Martina Fromhold-Eisebith -- Big data analytics processes and platforms facilitating smart cities / Pethuru Raj, Sathish A.P Kumar -- Multi-scale computing for a sustainable built environment / Massimiliano Manfren -- Autonomous radios and open spectrum in smart cities / Corey D. Cooke, Adam L. Anderson -- Mobile crowdsensing for smart cities / Chandreyee Chowdhury, Sarbani Roy -- Wide-area monitoring and control of smart energy CPS / Nilanjan Ray Chaudhuri -- Smart technologies and vehicle-to-x (V2X) infrastructures for smart mobility cities / Bernard Fong, Lixin Situ, A. C. M. Fong -- Smart ecology of cities : integrating development impacts on ecosystem services / Marc Morrison, Ravi Srinivasan, Cynnamon Dobbs -- Data driven modeling, control and tools for smart cities / Madhur Behl, Rahul Mangharam -- Bringing named data networks into smart cities / Syed Hassan Ahmed, Safdar Hussain Bouk, Dongkyun Kim, Mahasweta Sarkar -- Human context sensing in smart cities / Juhi Ranjan, Kamin Whitehouse -- Smart cities and the symbiotic relationship between citizen engagement and smart governance / Tori Onker -- Smart economic development / Madhavi Venkatesan -- Managing the cyber security life-cycle of smart cities / Mridul Sankar Barik, Anirban Sengupta, Chandan Mazumdar -- Mobility as a service / Christopher Expósito-Izquierdo, Airam Expósito-Márquez, Julio Brito-Santana -- Clustering and fuzzy reasoning as data mining methods for the development of retrofit strategies for building stocks / Philipp Geyer, Arno Schlüter -- A framework to achieve large scale energy savings for building stocks through targeted occupancy interventions / Aslihan Karatas, Allisandra Stoiko, Carol Menassa -- Smart cities sustainability assessment : balancing social, economic, and environmental performance / Ali Komeily, Ravi Srinivasan -- Resilient electric grid for smart cities / Jiankang Wang -- Smart energy and grid : novel approaches for the efficient generation, storage and usage of energy in the smart home and the smart grid link-up / Julian Prass, Johannes Weber, Sebastian Staub, Johannes Bürner, Ralf Böhm, Thomas Braun, Moritz Hein, Markus Michl, Michael Beck, Jörg Franke -- Building cyber-physical systems : a smart building use case / Jupiter Bakakeu, Franziska Schäfer, Jochen Bauer, Markus Michl, Jörg Franke -- Climate resilience and the design of smart buildings / Saranya Gunasingh, Nora Wang, Doug Alh, Scott Schuetter -- Smart audio sensing based HVAC monitoring / Nirjon Shahriar, Ravi Srinivasan, Tamim Sookoor -- Smart lighting / Jie Lian -- Large-scale air quality monitoring in smart and sustainable cities / Xiaofan Jiang -- The smart city production system / Patrick Hennelly, Roy Meriton, Gary Graham, Jag Srai -- Smart health monitoring using smart systems / Carl Chalmers -- Significance of automated driving in japan / Sadayuki Tsugawa -- Environment-assisted vehicular data in smart city / Wei Chang, Huanyang Zheng, Jie Wu, Chiu C. Tan, and Haibin Ling

Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

Author: EMC Education Services

Publisher: John Wiley & Sons

ISBN: 1118876059

Category: Computers

Page: 432

View: 9951

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

The Privacy Engineer's Manifesto

Getting from Policy to Code to QA to Value

Author: Michelle Dennedy,Jonathan Fox,Tom Finneran

Publisher: Apress

ISBN: 1430263563

Category: Computers

Page: 400

View: 6981

"It's our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track." --The authors of The Privacy Engineer's Manifesto The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging "personal" information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle—regardless of development methodology—from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s)...and even have a little fun. The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Author: Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy

Publisher: Springer

ISBN: 331960435X

Category: Computers

Page: 549

View: 2018

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Big Data and Internet of Things: A Roadmap for Smart Environments

Author: Nik Bessis,Ciprian Dobre

Publisher: Springer

ISBN: 331905029X

Category: Computers

Page: 470

View: 665

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities: Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

New Mega Trends

Implications for our Future Lives

Author: S. Singh

Publisher: Springer

ISBN: 1137008091

Category: Business & Economics

Page: 258

View: 350

YOUR GUIDE TO A FULFILLING BUSINESS AND PERSONAL FUTURE Based on research by one of the world's largest growth-consulting companies, New Mega Trends identifies the ten most important global trends that will define our future, including business models, smart technology, connectivity and convergence and radical social trends. New Mega Trends will give you the tools to not only identify and evaluate these game-changing trends, but also help you to translate them into market opportunities for your everyday business and personal life. How will we travel to work in the cities of the future? Will Zero be the new big thing? How will we stay connected in the Mega Trends World? Will our Wellness and Well-Being top business agenda? If you are a leader with a corporate vision, or a strategic planner within your organization, or just plain curious about your future, New Mega Trends will provide you with stimulating stories, startling facts and thought-provoking case studies that will not only inform your future but entertain you today.

Big Data

Die Revolution, die unser Leben verändern wird

Author: Viktor Mayer-Schönberger,Viktor; Cukier Mayer-Schönberger

Publisher: Redline Wirtschaft

ISBN: 3864144590

Category: Political Science

Page: 288

View: 5120

Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren. Die Experten Viktor Mayer-Schönberger und Kenneth Cukier beschreiben in ihrem Buch, was Big Data ist, welche Möglichkeiten sich eröffnen, vor welchen Umwälzungen wir alle stehen – und verschweigen auch die dunkle Seite wie das Ausspähen von persönlichen Daten und den drohenden Verlust der Privatsphäre nicht.

Harness the Power of Big Data The IBM Big Data Platform

Author: Paul Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,James Giles,David Corrigan

Publisher: McGraw Hill Professional

ISBN: 0071808175

Category: Computers

Page: 280

View: 7997

Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.

Big Data

Algorithms, Analytics, and Applications

Author: Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea

Publisher: CRC Press

ISBN: 1482240564

Category: Computers

Page: 498

View: 5603

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.

Smarter Energy

From Smart Metering to the Smart Grid

Author: Hongjian Sun,Nikolaos Hatziargyriou,H. Vincent Poor,Laurence Carpanini,Miguel Angel Sánchez Fornié

Publisher: IET

ISBN: 1785611046

Category: Computers

Page: 518

View: 6165

This book presents cutting-edge perspectives and research results in smart energy spanning multiple disciplines including a variety of smart grid technologies and applications such as smart metering, energy management systems, demand side management, demand response, renewable energy integration, energy storage management, communication systems, and Internet of Things technologies. Topics covered include an overview of smart grid research and projects; privacy-preserving data aggregation in smart metering systems; real-time scheduling of residential appliances via smart meters; cyber-security and privacy issues of smart metering in smart grids; phasor state estimation using PMUs; distributed and decentralised control in future power systems; multi-objective optimization for energy management in microgrids; smart management of energy storage system and electric vehicles; voltage control integrating renewable energy sources; game theory approaches for demand side management in microgrids; overview of smart grid communications research; cognitive radio platforms for smart grid communications; secure wireless communications for advanced metering infrastructure in smart grids; internet of things for supporting smart grid applications.

Smart Data Analytics

Mit Hilfe von Big Data Zusammenhänge erkennen und Potentiale nutzen

Author: Andreas Wierse,Till Riedel

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110461919

Category: Technology & Engineering

Page: 440

View: 459

Wenn in Datenbergen wertvolle Geheimnisse schlummern, aus denen Profit erzielt werden soll, dann geht es um Big Data. Doch wie schöpft man aus »großen Daten« echte Werte, wenn man nicht gerade Google ist? Um aus Unternehmens-, Maschinen- oder Sensordaten einen Ertrag zu erzielen, reicht Big Data-Technologie allein nicht aus. Entscheidend sind die übergeordneten Innovations prozesse: die smarte Analyse von Big Data. Erst durch den kompetenten Einsatz der richtigen Werkzeuge und Techniken werden aus Big Data tatsächlich Smart Data. Das Praxishandbuch Smart Data Analytics gibt einen Überblick über die Technologie, die bei der Analyse von großen und heterogenen Datenmengen – inklusive Echtzeitdaten – zum Einsatz kommt. Elf Praxisbeispiele zeigen die konkrete Anwendung in kleinen und mittelständischen Unternehmen. So erfahren Sie, wie Sie Ihr Smart Data Analytics-Projekt in Ihrem eigenen Unternehmen vorbereiten und umsetzen können. Das Buch erläutert neben den organisatorischen Aspekten auch die rechtlichen Rahmenbedingungen. Und es zeigt, wie Sie sowohl den Nutzen bewerten können, der aus den Daten gezogen werden soll, als auch den Aufwand, den Sie dafür betreiben müssen. Denn Smart Data steht für mehr als nur die Untersuchung großer Datenmengen: Smart Data Analytics ist der Schlüssel zu einem smarten Umgang mit Ihren Unternehmensdaten und hilft, bislang unentdecktes Potenzial zu entdecken. Dr. Andreas Wierse studierte Mathematik und promovierte in den Ingenieurwissenschaften im Bereich Visualisierung, seit 2011 unterstützt er mittelständische Unternehmen rund um Big und Smart Data Technologie. Dr. Till Riedel lehrt als Informatiker am KIT und koordiniert im Smart Data Solution Center Baden-Württemberg und Smart Data Innovation Lab Forschung und Innovation auf industriellen Datenschätzen.