Taming The Big Data Tidal Wave
Home > Business and Economics > Business and Management > Management and management techniques > Knowledge management > Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics
Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

|
     0     
5
4
3
2
1




International Edition


About the Book

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior…. As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes…. As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site…. Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game.  It is just what is needed to get past some spots you’ve been struggling with…. Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion. What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time. Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about. Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!

Table of Contents:
Foreword xiii Preface xvii Acknowledgments xxv Part One The Rise of Big Data 1 Chapter 1 What Is Big Data and Why Does It Matter? 3 What Is Big Data? 4 Is the “Big” Part or the “Data” Part More Important? 5 How Is Big Data Different? 7 How Is Big Data More of the Same? 9 Risks of Big Data 10 Why You Need to Tame Big Data 12 The Structure of Big Data 14 Exploring Big Data 16 Most Big Data Doesn’t Matter 17 Filtering Big Data Effectively 20 Mixing Big Data with Traditional Data 21 The Need for Standards 22 Today’s Big Data Is Not Tomorrow’s Big Data 24 Wrap-Up 26 Notes 27 Chapter 2 Web Data: The Original Big Data 29 Web Data Overview 30 What Web Data Reveals 36 Web Data in Action 42 Wrap-Up 50 Note 51 Chapter 3 A Cross-Section of Big Data Sources and the Value They Hold 53 Auto Insurance: The Value of Telematics Data 54 Multiple Industries: The Value of Text Data 57 Multiple Industries: The Value of Time and Location Data 60 Retail and Manufacturing: The Value of Radio Frequency Identification Data 64 Utilities: The Value of Smart-Grid Data 68 Gaming: The Value of Casino Chip Tracking Data 71 Industrial Engines and Equipment: The Value of Sensor Data 73 Video Games: The Value of Telemetry Data 76 Telecommunications and Other Industries: The Value of Social Network Data 78 Wrap-Up 82 Part Two Taming Big Data: The Technologies, Processes, and Methods 85 Chapter 4 The Evolution of Analytic Scalability 87 A History of Scalability 88 The Convergence of the Analytic and Data Environments 90 Massively Parallel Processing Systems 93 Cloud Computing 102 Grid Computing 109 MapReduce 110 It Isn’t an Either/Or Choice! 117 Wrap-Up 118 Notes 119 Chapter 5 The Evolution of Analytic Processes 121 The Analytic Sandbox 122 What Is an Analytic Data Set? 133 Enterprise Analytic Data Sets 137 Embedded Scoring 145 Wrap-Up 151 Chapter 6 The Evolution of Analytic Tools and Methods 153 The Evolution of Analytic Methods 154 The Evolution of Analytic Tools 163 Wrap-Up 175 Notes 176 Part Three Taming Big Data: The People and Approaches 177 Chapter 7 What Makes a Great Analysis? 179 Analysis versus Reporting 179 Analysis: Make It G.R.E.A.T.! 184 Core Analytics versus Advanced Analytics 186 Listen to Your Analysis 188 Framing the Problem Correctly 189 Statistical Significance versus Business Importance 191 Samples versus Populations 195 Making Inferences versus Computing Statistics 198 Wrap-Up 200 Chapter 8 What Makes a Great Analytic Professional? 201 Who Is the Analytic Professional? 202 The Common Misconceptions about Analytic Professionals 203 Every Great Analytic Professional Is an Exception 204 The Often Underrated Traits of a Great Analytic Professional 208 Is Analytics Certifi cation Needed, or Is It Noise? 222 Wrap-Up 224 Chapter 9 What Makes a Great Analytics Team? 227 All Industries Are Not Created Equal 228 Just Get Started! 230 There’s a Talent Crunch out There 231 Team Structures 232 Keeping a Great Team’s Skills Up 237 Who Should Be Doing Advanced Analytics? 241 Why Can’t IT and Analytic Professionals Get Along? 245 Wrap-Up 247 Notes 248 PART FOUR BRINGING IT TOGETHER: THE ANALYTICS CULTURE 249 Chapter 10 Enabling Analytic Innovation 251 Businesses Need More Innovation 252 Traditional Approaches Hamper Innovation 253 Defining Analytic Innovation 255 Iterative Approaches to Analytic Innovation 256 Consider a Change in Perspective 257 Are You Ready for an Analytic Innovation Center? 259 Wrap-Up 269 Note 270 Chapter 11 Creating a Culture of Innovation and Discovery 271 Setting the Stage 272 Overview of the Key Principles 274 Wrap-Up 290 Notes 291 Conclusion: Think Bigger! 293 About the Author 295 Index 297 


Best Sellers


Product Details
  • ISBN-13: 9781118208786
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 231 mm
  • No of Pages: 336
  • Returnable: N
  • Sub Title: Finding Opportunities in Huge Data Streams with Advanced Analytics
  • Width: 158 mm
  • ISBN-10: 1118208781
  • Publisher Date: 27 Apr 2012
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Spine Width: 31 mm
  • Weight: 594 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics
John Wiley & Sons Inc -
Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!