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The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.

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.

Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new audiobook, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

Whether you are at a beginner or intermediate level, this book is crafted just for you. Learn Python fundamentals. This is your beginner's step-by-step guide to one of the most essential, renowned, and practical programming languages in the 21st century. Python is a general purpose program used by many start-ups. Its design emphasizes code readability.

Until very recently, if you were to ask most doctors, they would tell you there were only two kinds of medicine: the quack kind, and the evidence-based kind. The former is baseless, and the latter based on the best information human effort could buy. Well, Eric Topol isn't most doctors, and he suggests you entertain the notion of a third kind of medicine, one that will make the evidence-based state-of-the-art stuff look scarcely better than an alchemist trying to animate a homunculus in a jar.

The financial system is in the process of rocking off its feet. Change is inevitable, but where is the future of cryptocurrency? Is it hashgraph technology or blockchain technology? Some say that hashgraph is the future. It’s fast, secure, and fair and should become the future of how you handle transactions. Others see blockchain as the evolution of the world’s economy, especially after it burst into awareness in 2017. You decide. Hear the facts and comparisons in this easy-to-listen-to and well-researched book authored by business owner, Stephen C. Keller.

Understanding these relationships that make up a database can allow you to figure out the overall structure of the database you are building or working on. This will allow for better use of the existing framework and increase your productivity while decreasing time spent crunching numbers.

Between 1959 and 1989, Soviet scientists and officials made numerous attempts to network their nation - to construct a nationwide computer network. None of these attempts succeeded, and the enterprise had been abandoned by the time the Soviet Union fell apart. Meanwhile, ARPANET, the American precursor to the Internet, went online in 1969. Why did the Soviet network, with top-level scientists and patriotic incentives, fail while the American network succeeded? Find out.

Is hacking what you want to learn? Always wondered how one becomes a hacker? Does it interest you how hackers never seem to get caught? Download Hacking to discover everything you need to know about hacking. Step by step to increase your hacking skill set. Learn how to penetrate computer systems. All your basic knowledge in one download! You need to get it now to know what's inside, as it can't be shared here!

SQL is used extensively since its relatively easy to learn and it can help you get information from a database that may not be available to people who do not know SQL. It is a considered a very flexible language and can be used in a whole variety of ways, because of this flexibility a lot of software products today use SQL to interact and communicate with databases. By learning this language, you will have an essential skill which you can use on one of the many products which are based on SQL.

The discipline of infonomics takes you beyond thinking and talking about information as an asset to actually valuing and treating it as one. Infonomics provides the foundation and methods for quantifying information asset value and tactics for using information as your competitive edge to drive growth.

Do you want to learn how to earn an extra $5k a month? Do you want to be financially free? Do you want to know the advanced strategies to making six figures a year from a computer? When you listen to Affiliate Marketing, your marketing skills will vastly improve each day! You will discover everything you need to know about affiliate marketing!

Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.

Knowing how to craft SQL queries and navigate your way around a database is an essential skill if are a Database Administrator, System Administrator, or Programmer. This book guides you step-by-step by teaching you how to create databases, populate those databases with data, extract just the data you need, and much more.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights.

Everybody says email marketing died a long time ago. Don't believe them! It's alive, kicking and still the number one way to grow your brand on the Internet. Growing a massive email list means you have a group of people who are interested in what you have to offer. Consider this audiobook as your email marketing blueprint or your one-stop marketing guide that has all the information you need to get started in the world of email marketing.

Taking up where the best-selling A Simple Introduction to Data Science, left off, Lars Nielsen's A Simple Introduction to Data Science, Book 2 expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics.

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.