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Marcia Kaufman Big Data For Dummies


Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

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Alan Anderson Statistics for Big Data For Dummies


The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more. Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word «statistics» alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining—without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big data If you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.

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Jason Williamson Getting a Big Data Job For Dummies


Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what «big data» means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medicine, and defense, are harnessing massive amounts of data to reap a competitive advantage. The demand for big data professionals is growing every year, and experts forecast an estimated 1.9 million additional U.S. jobs in big data by 2015. Whether your niche is developing the technology, handling the data, or analyzing the results, turning your attention to a career in big data can lead to a more secure, more lucrative career path. Getting a Big Data Job For Dummies provides an overview of the big data career arc, and then shows you how to get your foot in the door with topics like: The education you need to succeed The range of big data career path options An overview of major big data employers A plan to develop your job-landing strategy Your analytic inclinations may be your ticket to long-lasting success. In a highly competitive job market, developing your data skills can create a situation where you pick your employer rather than the other way around. If you're ready to get in on the ground floor of the next big thing, Getting a Big Data Job For Dummies will teach you everything you need to know to get started today.

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Бернард Марр Big Data For Small Business For Dummies


Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.

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Lillian Pierson Data Science For Dummies


Discover how data science can help you gain in-depth insight into your business – the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

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Dirk deRoos Hadoop For Dummies


Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters. Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.

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Christopher Price Microsoft Big Data Solutions


Tap the power of Big Data with Microsoft technologies Big Data is here, and Microsoft's new Big Data platform is a valuable tool to help your company get the very most out of it. This timely book shows you how to use HDInsight along with HortonWorks Data Platform for Windows to store, manage, analyze, and share Big Data throughout the enterprise. Focusing primarily on Microsoft and HortonWorks technologies but also covering open source tools, Microsoft Big Data Solutions explains best practices, covers on-premises and cloud-based solutions, and features valuable case studies. Best of all, it helps you integrate these new solutions with technologies you already know, such as SQL Server and Hadoop. Walks you through how to integrate Big Data solutions in your company using Microsoft's HDInsight Server, HortonWorks Data Platform for Windows, and open source tools Explores both on-premises and cloud-based solutions Shows how to store, manage, analyze, and share Big Data through the enterprise Covers topics such as Microsoft's approach to Big Data, installing and configuring HortonWorks Data Platform for Windows, integrating Big Data with SQL Server, visualizing data with Microsoft and HortonWorks BI tools, and more Helps you build and execute a Big Data plan Includes contributions from the Microsoft and HortonWorks Big Data product teams If you need a detailed roadmap for designing and implementing a fully deployed Big Data solution, you'll want Microsoft Big Data Solutions.

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Thomas Hammergren C. Data Warehousing For Dummies


Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!

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Paul McFedries Excel Data Analysis For Dummies

Luca Massaron Python for Data Science For Dummies


Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

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Big Data For Dummies: Amazon.de: Hurwitz, Judith, Nugent ...

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Big Data For Dummies - Ebook written by Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Big Data For Dummies.

Big Data For Dummies | Judith Hurwitz, Alan Nugent, Fern ...

Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it ...

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Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics. --This text refers to the paperback edition. Product details. Format: Kindle Edition; File Size: 2529 KB; Print Length: 336 pages; Publisher: For Dummies; 1 edition (2 April 2013) Sold by: Amazon Asia-Pacific Holdings Private Limited Language: English ...

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Cognitive Computing and Big Data Analytics: Hurwitz, Judith, Kaufman, Marcia, Bowles, Adrian: Amazon.nl Selecteer uw cookievoorkeuren We gebruiken cookies en vergelijkbare tools om uw winkelervaring te verbeteren, onze services aan te bieden, te begrijpen hoe klanten onze services gebruiken zodat we verbeteringen kunnen aanbrengen, en om advertenties weer te geven.

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Marcia Kaufman + Folgen Ähnliche Autoren zum Folgen + + + Weitere Empfehlungen Etwas ist schiefgegangen. Wiederholen Sie die Anforderung später noch einmal. OK Cognitive Computing and Big Data Analytics (Englisch) Taschenbuch – 20. Februar 2015 von Judith Hurwitz (Autor) › Entdecken Sie Judith Hurwitz bei Amazon. Finden Sie alle Bücher, Informationen zum Autor und mehr. Siehe ...

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Big Data For Dummies: Hurwitz, Judith, Nugent, Alan, Halper, Fern, Kaufman, Marcia: Amazon.nl Selecteer uw cookievoorkeuren We gebruiken cookies en vergelijkbare tools om uw winkelervaring te verbeteren, onze services aan te bieden, te begrijpen hoe klanten onze services gebruiken zodat we verbeteringen kunnen aanbrengen, en om advertenties weer te geven.

Big Data Para Leigos | Amazon.com.br

Fern Halper - é especializada em big data e análises. Marcia Kaufman - é especializada em infraestrutura em nuvem, gestão da informação e análises. Clientes que compraram este item também compraram Página 1 de 1 Iniciar novamente Página 1 de 1

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Big Data For Dummies | Wiley

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools.

Big Data For Dummies ISBN 9781118504222 PDF epub | Fern ...

By Fern Halper and Hurwitz and Judith Hurwitz and Marcia Kaufman and Alan Nugent. Computers : Database Management - General | Computers : Enterprise Applications - General. For Dummies Publication date: March 2013. ISBN: 9781118644010 Digital Book format: PDF (Adobe DRM) Buy PDF. Our price: $ 19.99. Find the right big data solution for your business or organization. Big data management is one ...

Text Analytics Tools for Big Data - dummies

By Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman . Here is an overview of some of the players in the text analysis big data market. Some are small while others are household names. Some call what they do big data text analytics, while some just refer to it as text analytics. Attensity for big data . Attensity is one of the original text analytics companies that began developing and ...

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Marcia Kaufman is a Principal Analyst and COO of Hurwitz & Associates, with leadership in big data and advanced analytics, information management, and business strategy. Adrian Bowles is President and CEO of STORM Insights, Inc., a market analytics firm providing research and advisory services for buyers, sellers, and investors in emerging technology markets.

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Big Data For Dummies - Judith Hurwitz, Alan Nugent, Fern ...

Pris: 239 kr. Häftad, 2013. Skickas inom 7-10 vardagar. Köp Big Data For Dummies av Judith Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman på Bokus.com.

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Big data voor Dummies door Alan Nugent & Fern Halper ...

Fern Halper is gespecialiseerd in big data en analytics. Marcia Kaufman is gespecialiseerd in cloud-infrastructuren, informatiemanagement en analytics. ISBN 9789045353241 Verschenen 04-08-2017 Serie Voor Dummies NUR 780. Druk 1 Uitvoering Paperback / softback Taal Nederlands Uitgever BBNC Uitgevers. Educational Upward Mobility "Most working-class people still do not enter higher education, but ...

BIG DATA PARA LEIGOS - MÁRCIA KAUFMAN

MÁRCIA KAUFMAN. Quantidade limitada no estoque. Envio imediato. Editora Alta Books. Área COMPUTAÇÃO. Idioma Português. Número de páginas 328. Edição 1ª ED 2015. ISBN 9788576089551. EAN 9788576089551 "Aqui está o guia que pode evitar com que big data se torne uma grande dor de cabeça! Big data pode ser um conceito complexo. Para Leigos ao resgate! Aqui está uma explicação em ...

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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations.

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Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics. From the Back Cover. Learn to: Leverage big data tools and architectures; Explore how big data can transform your business; Integrate structured and unstructured data into your big data environment ; Use predictive analytics to make better decisions ...

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Marcia Kaufman – Hurwitz & Associates

About Marcia Kaufman. September 17, 2013. Is Data Quality Relevant for Big Data? One of the biggest benefits from a big data analysis is the ability to find answers to new types of questions and then quickly take action to improve business results. For example, a retailer can leverage social media data to analyze customer reaction to a marketing campaign and make immediate changes rather than ...

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Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics. Read an Excerpt. Click to read or download. Table of Contents Introduction 1 . Part I: Getting Started with Big Data 7. Chapter 1: Grasping the Fundamentals of Big Data 9 . Chapter 2: Examining Big Data Types 25. Chapter 3: Old Meets New: Distributed ...

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Big Data For Dummies, Marcia Kaufman, Fern Halper, Alan Nugent, Judith S. Hurwitz, For dummies. Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction . En poursuivant votre navigation, vous acceptez la politique Cookies, le dépôt de cookies et technologies similaires tiers ou non ainsi que le croisement avec des données que vous nous avez fournies ...

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Ebook > Sciences > Computer Science > Computer Science > Judith S. Hurwitz & Marcia Kaufman: Cognitive Computing and Big Data Analytics (ePUB) Judith S. Hurwitz & Marcia Kaufman Cognitive Computing and Big Data Analytics . Support. Adobe DRM (4.8 / 5.0 – 1 customer ratings) A comprehensive guide to learning technologies that unlock thevalue in big data ...

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Cognitive Computing and Big Data Analytics. by Marcia Kaufman,Adrian Bowles,Judith S. Hurwitz. Thanks for Sharing! You submitted the following rating and review. We'll publish them on our site once we've reviewed them. 1. by on August 17, 2020. OK, close 0. 0. Write your review. eBook Details . Wiley Release Date: February 12, 2015; Imprint: Wiley; ISBN: 9781118896631; Language: English ...

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MARCIA KAUFMAN - Obituary

KAUFMAN, Marcia Asquith died Friday, March 17, of breast cancer at the Parlin Hospice Residence in Wayland. She was a resident of Boston's South End and Chilmark, Martha's Vineyard. She leaves her hus

Big Data For Dummies - Ebok - Hurwitz Judith S Hurwitz ...

Pris: 219 kr. E-bok, 2013. Laddas ned direkt. Köp Big Data For Dummies av Hurwitz Judith S Hurwitz, Nugent Alan Nugent, Halper Fern Halper, Kaufman Marcia Kaufman på Bokus.com.

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Frank Ohlhorst J. Big Data Analytics. Turning Big Data into Big Money


Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities. Reveals big data analytics as the next wave for businesses looking for competitive advantage Takes an in-depth look at the financial value of big data analytics Offers tools and best practices for working with big data Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

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Ken Cook Access 2016 For Dummies


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.

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Hyunjoung Lee Fundamentals of Big Data Network Analysis for Research and Industry


Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and industry There are large amounts of data everywhere, and the ability to pick out crucial information is increasingly important. Contrary to popular belief, not all information is useful; big data network analysis assumes that data is not only large, but also meaningful, and this book focuses on the fundamental techniques required to extract essential information from vast datasets. Featuring case studies drawn largely from the iron and steel industries, this book offers practical guidance which will enable readers to easily understand big data network analysis. Particular attention is paid to the methodology of network analysis, offering information on the method of data collection, on research design and analysis, and on the interpretation of results. A variety of programs including UCINET, NetMiner, R, NodeXL, and Gephi for network analysis are covered in detail. Fundamentals of Big Data Network Analysis for Research and Industry looks at big data from a fresh perspective, and provides a new approach to data analysis. This book: Explains the basic concepts in understanding big data and filtering meaningful data Presents big data analysis within the networking perspective Features methodology applicable to research and industry Describes in detail the social relationship between big data and its implications Provides insight into identifying patterns and relationships between seemingly unrelated big data Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts, research engineers, industrial engineers, marketing professionals, and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.

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Bill Schmarzo Big Data. Understanding How Data Powers Big Business


Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

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Adam Fowler NoSQL For Dummies


Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.

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Greg Harvey Excel 2010 All-in-One For Dummies


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