{"product_id":"big-data-analytics-isbn-9781118147597","title":"Big Data Analytics","description":"\u003cb\u003eUnique insights to implement big data analytics and reap big returns to your bottom line\u003c\/b\u003e  \u003cp\u003eFocusing 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 \u003ci\u003eBig Data Analytics\u003c\/i\u003e. 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eReveals big data analytics as the next wave for businesses looking for competitive advantage\u003c\/li\u003e \u003cli\u003eTakes an in-depth look at the financial value of big data analytics\u003c\/li\u003e \u003cli\u003eOffers tools and best practices for working with big data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eOnce 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, \u003ci\u003eBig Data Analytics\u003c\/i\u003e shows how you can leverage big data into a key component in your business's growth strategy.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAcknowledgments xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 What Is Big Data? 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Arrival of Analytics 2\u003c\/p\u003e \u003cp\u003eWhere Is the Value? 3\u003c\/p\u003e \u003cp\u003eMore to Big Data Than Meets the Eye 5\u003c\/p\u003e \u003cp\u003eDealing with the Nuances of Big Data 6\u003c\/p\u003e \u003cp\u003eAn Open Source Brings Forth Tools 7\u003c\/p\u003e \u003cp\u003eCaution: Obstacles Ahead 8\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Why Big Data Matters 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBig Data Reaches Deep 12\u003c\/p\u003e \u003cp\u003eObstacles Remain 13\u003c\/p\u003e \u003cp\u003eData Continue to Evolve 15\u003c\/p\u003e \u003cp\u003eData and Data Analysis Are Getting More Complex 17\u003c\/p\u003e \u003cp\u003eThe Future Is Now 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Big Data and the Business Case 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRealizing Value 22\u003c\/p\u003e \u003cp\u003eThe Case for Big Data 22\u003c\/p\u003e \u003cp\u003eThe Rise of Big Data Options 25\u003c\/p\u003e \u003cp\u003eBeyond Hadoop 27\u003c\/p\u003e \u003cp\u003eWith Choice Come Decisions 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Building the Big Data Team 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Data Scientist 29\u003c\/p\u003e \u003cp\u003eThe Team Challenge 30\u003c\/p\u003e \u003cp\u003eDifferent Teams, Different Goals 31\u003c\/p\u003e \u003cp\u003eDon’t Forget the Data 32\u003c\/p\u003e \u003cp\u003eChallenges Remain 32\u003c\/p\u003e \u003cp\u003eTeams versus Culture 34\u003c\/p\u003e \u003cp\u003eGauging Success 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Big Data Sources .37\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHunting for Data 38\u003c\/p\u003e \u003cp\u003eSetting the Goal 39\u003c\/p\u003e \u003cp\u003eBig Data Sources Growing 40\u003c\/p\u003e \u003cp\u003eDiving Deeper into Big Data Sources 42\u003c\/p\u003e \u003cp\u003eA Wealth of Public Information 43\u003c\/p\u003e \u003cp\u003eGetting Started with Big Data Acquisition 44\u003c\/p\u003e \u003cp\u003eOngoing Growth, No End in Sight 46\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 The Nuts and Bolts of Big Data 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Storage Dilemma 47\u003c\/p\u003e \u003cp\u003eBuilding a Platform 52\u003c\/p\u003e \u003cp\u003eBringing Structure to Unstructured Data 57\u003c\/p\u003e \u003cp\u003eProcessing Power 59\u003c\/p\u003e \u003cp\u003eChoosing among In-house, Outsourced, or Hybrid Approaches 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Security, Compliance, Auditing, and Protection 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePragmatic Steps to Securing Big Data 64\u003c\/p\u003e \u003cp\u003eClassifying Data 65\u003c\/p\u003e \u003cp\u003eProtecting Big Data Analytics 66\u003c\/p\u003e \u003cp\u003eBig Data and Compliance 67\u003c\/p\u003e \u003cp\u003eThe Intellectual Property Challenge 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 The Evolution of Big Data 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBig Data: The Modern Era 80\u003c\/p\u003e \u003cp\u003eToday, Tomorrow, and the Next Day 84\u003c\/p\u003e \u003cp\u003eChanging Algorithms 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Best Practices for Big Data Analytics 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStart Small with Big Data 94\u003c\/p\u003e \u003cp\u003eThinking Big 95\u003c\/p\u003e \u003cp\u003eAvoiding Worst Practices 96\u003c\/p\u003e \u003cp\u003eBaby Steps 98\u003c\/p\u003e \u003cp\u003eThe Value of Anomalies 101\u003c\/p\u003e \u003cp\u003eExpediency versus Accuracy 103\u003c\/p\u003e \u003cp\u003eIn-Memory Processing 104\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Bringing It All Together 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Path to Big Data 112\u003c\/p\u003e \u003cp\u003eThe Realities of Thinking Big Data 113\u003c\/p\u003e \u003cp\u003eHands-on Big Data 115\u003c\/p\u003e \u003cp\u003eThe Big Data Pipeline in Depth 116\u003c\/p\u003e \u003cp\u003eBig Data Visualization 121\u003c\/p\u003e \u003cp\u003eBig Data Privacy 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix Supporting Data 125\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e“The MapR Distribution for Apache Hadoop” 126\u003c\/p\u003e \u003cp\u003e“High Availability: No Single Points of Failure” 142\u003c\/p\u003e \u003cp\u003eAbout the Author 151\u003c\/p\u003e \u003cp\u003eIndex 153\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eFRANK J. OHLHORST\u003c\/b\u003e is an award-winning technology journalist, professional speaker, and IT business consultant with over twenty-five years of experience in the technology arena. He has written for several leading technology publications, speaks at many industry conferences, and has several industry certifications.    \u003c\/p\u003e\u003cp\u003eThe promises offered by Big Data–driven decision making have been recognized broadly. Once the domain of only the heaviest of hitters—including Amazon, eBay, and Disney—Big Data analytics is now accessible to businesses of all sizes, across all industries. In \u003ci\u003eBig Data Analytics\u003c\/i\u003e, you'll learn how to extract intelligence and value out of your large data sets to grow your business, your bottom line, and your competitive edge.\u003c\/p\u003e \u003cp\u003eFocusing on the business and financial value of Big Data analytics, technical guru Frank Ohlhorst shares his insights on this newly emerging field to demonstrate the importance of analytics and define the processes. In \u003ci\u003eBig Data Analytics\u003c\/i\u003e, Ohlhorst highlights the tangible and intangible values and discusses how to turn a business liability—such as large scale data storage, backup, and archiving—into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.\u003c\/p\u003e \u003cp\u003eBeginning with the evolution of the technology as well as some of the basic concepts behind deriving value, \u003ci\u003eBig Data Analytics\u003c\/i\u003e explores:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe different types of data sources involved and why they are important to businesses seeking to find value in data sets\u003c\/li\u003e \u003cli\u003eBuilding a business case that spurs investment into technologies\u003c\/li\u003e \u003cli\u003eThe skill sets needed to successfully leverage your data sets\u003c\/li\u003e \u003cli\u003eHow to incorporate Big Data into a corporate culture\u003c\/li\u003e \u003cli\u003eVarious public and private sources for data\u003c\/li\u003e \u003cli\u003eStorage, processing power, platforms, and the elements that make up a Big Data analytics system\u003c\/li\u003e \u003cli\u003eThe tools and techniques that keep large data sources secure\u003c\/li\u003e \u003cli\u003ePotential pitfalls and how to avoid them\u003c\/li\u003e \u003cli\u003eHow Big Data moves through the analysis process and is transformed into usable information that delivers value\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTo become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line with \u003ci\u003eBig Data Analytics.\u003c\/i\u003e\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eBIG DATA ANALYTICS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eTURNING BIG DATA INTO BIG MONEY \u003c\/p\u003e\u003cp\u003eThe promises offered by Big Data–driven decision making have been recognized broadly. Once the domain of only the heaviest of hitters—including Amazon, eBay, and Disney—Big Data analytics is now accessible to businesses of all sizes, across all industries. In Big Data Analytics, you'll learn how to extract intelligence and value out of your large data sets to grow your business, your bottom line, and your competitive edge. \u003c\/p\u003e\u003cp\u003eFocusing on the business and financial value of Big Data analytics, technical guru Frank Ohlhorst shares his insights on this newly emerging field to demonstrate the importance of analytics and define the processes. In Big Data Analytics, Ohlhorst highlights the tangible and intangible values and discusses how to turn a business liability—such as large scale data storage, backup, and archiving—into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities. \u003c\/p\u003e\u003cp\u003eBeginning with the evolution of the technology as well as some of the basic concepts behind deriving value, Big Data Analytics explores: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eThe different types of data sources involved and why they are important to businesses seeking to find value in data sets\u003c\/li\u003e \u003cli\u003eBuilding a business case that spurs investment into technologies\u003c\/li\u003e \u003cli\u003eThe skill sets needed to successfully leverage your data sets\u003c\/li\u003e \u003cli\u003eHow to incorporate Big Data into a corporate culture\u003c\/li\u003e \u003cli\u003eVarious public and private sources for data\u003c\/li\u003e \u003cli\u003eStorage, processing power, platforms, and the elements that make up a Big Data analytics system\u003c\/li\u003e \u003cli\u003eThe tools and techniques that keep large data sources secure\u003c\/li\u003e \u003cli\u003ePotential pitfalls and how to avoid them\u003c\/li\u003e \u003cli\u003eHow Big Data moves through the analysis process and is transformed into usable information that delivers value\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTo become bigger, you must think bigger. Discover the value in your data sets and maximize your bottom line with Big Data Analytics.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988810154213,"sku":"NP9781118147597","price":49.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118147597.jpg?v=1761781679","url":"https:\/\/k12savings.com\/es\/products\/big-data-analytics-isbn-9781118147597","provider":"K12savings","version":"1.0","type":"link"}