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Ethereum Bible: All You Need to Know About Ethereum
by Rafael Ramirez

Price : Free!

Language

English

Pages

43

Publication Date

April 10, 2018

Product Description
Customer Reviews
The title is self-explanatory. This book is designed as a guide to help you understand, invest in and trade with cryptocurrency. <br />The specific focus of this book is Ethereum or Ether (ETH). If you are someone who follows the financial markets closely, you will have noticed that cryptocurrencies are steadily increasing in their popularity. The past couple of years, in particular, have seen the tremendous growth of different types of cryptocurrencies.<br />It is therefore unsurprising that everyone wants to figure out a way to start investing in them. Not only are they becoming more and more popular and accepted, but they are also changing the way we look at traditional financial systems themselves. The problem is that the information available about them that's crucial to understanding how they work is always presented in a complex manner. You might be led to believe that it is an incredibly complicated system that requires your own personal Yoda and years of training. While it would be great to be a Jedi, I want to tell you that this process is not as long-winded as that. You might not have experience with cryptocurrencies – and may just be someone who is looking to learn more. This book will help you in this regard, as it starts from scratch.<br />The focus of this book is Ethereum in particular because it has been touted a game changer in the world of cryptocurrency. Second only to Bitcoin, regarding value and popularity, many believe that it will eventually be the winner of that race. Ethereum is not showing any signs of slowing down, and perhaps it is time for you to consider the option of investing in it seriously too. This book is designed to give you the information you need and to show you how you can do this.<br />Through the course of this book, various concepts associated with Ethereum will be explored in greater detail. This will help you consider cryptocurrency as an investment opportunity in a more nuanced manner. We start from the basics, with an understanding of what cryptocurrency is, before moving on to focus on Ethereum. The rest of the book then gives you all the information you need about Ethereum – ranging from its history to how its trading outlook looks into the future. Explained in a concise manner, this book will hopefully give you the information you need to get started. <br />Who knows, you might just become an expert yourself in no time! <br />
Introducing Microsoft SQL Server 2016: Mission-Critical Applicati...
by , Joseph D'Antoni

Price : Free!

Language

English

Pages

558

Publication Date

June 28, 2016

Product Description
Customer Reviews
With Microsoft SQL Server 2016, a variety of new features and enhancements to the data platform deliver breakthrough performance, advanced security, and richer, integrated reporting and analytics capabilities. In this ebook, we introduce new security features: Always Encrypted, Row-Level Security, and dynamic data masking; discuss enhancements that enable you to better manage performance and storage: TemDB configuration, query store, and Stretch Database; review several improvements to Reporting Services; and also describe AlwaysOn Availability Groups, tabular enhancements, and R integration.
SQLite Database Programming for Xamarin: Cross-platform C# databa...
by Anthony Serpico

Price : Free!

Language

English

Pages

218

Publication Date

November 13, 2015

Product Description
Customer Reviews
SQLite is the native database for iOS and Android applications. Xamarin is the development framework of choice for creating cross-platform mobile apps. Together, this powerful duo allows you to write a common, shared data persistence layer that works across OS's. This can greatly simplify your mobile development effort. However, you still need to learn to effectively use SQLite.<br /><br />That's where SQLite.XM steps in. 'SQLite Database Programming for Xamarin' will show you how to leverage the power of SQLite.XM to both accelerate and simplify database programming for your mobile applications.<br /><br />SQLite.XM is a freely available SQLite wrapper written in C# and designed to be used with apps developed using Xamarin. SQLite.XM makes using SQLite with Xamarin a snap. It shields your application from the details of working directly with SQLite. Instead, you app interfaces with a high level, cross-platform layer that provides database CRUD functionality. In addition to providing an abstraction layer that greatly simplifies database search and record retrieval. SQLite.XM also takes care of organizing your SQL, initializing your apps schema, performing schema updates, and synchronizing data to a server-side datastore.<br /><br />In Part 1 of this book, I spend some time talking in general terms about data persistence along with issues specific to mobile app development. I also go over the various technologies used in the book to build a data persistence layer. I then go on to discuss database design and challenges specific to designing for mobile apps. <br /><br />Part 2 is dedicated to explaining how to use SQLite.XM for data persistence on the device. This is the heart of the book. <br /><br />Part 3 is where I explain SQLite.XM and cloud replication; how to set up a server-side database and how to get data moved, or copied, from the device to your cloud server.<br />
Cloudera Impala
by John Russell

Price : Free!

Language

English

Pages

34

Publication Date

November 25, 2013

Product Description
Customer Reviews
<p>Learn about Cloudera Impala--an open source project that's opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. The Impala massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible to analysts familiar with SQL and to users of business intelligence tools--and it’s fast enough to be used for interactive exploration and experimentation.</p>
Building Data Science Teams
by DJ Patil

Price : Free!

Language

English

Pages

31

Publication Date

September 15, 2011

Product Description
Customer Reviews
<p>As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.<br /><br />Topics include:<em> What it means to be "data driven."</em> The unique roles of data scientists.<em> The four essential qualities of data scientists.</em> Patil's first-hand experience building the LinkedIn data science team.</p>
New Horizons for a Data-Driven Economy: A Roadmap for Usage and E...
by , Wolfgang Wahlster

Price : Free!

Language

English

Pages

303

Publication Date

April 04, 2016

Product Description
Customer Reviews
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe.This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Big Data Now: Current Perspectives from O'Reilly Radar
by O'Reilly Radar Team

Price : Free!

Language

English

Pages

149

Publication Date

August 30, 2011

Product Description
Customer Reviews
<p>This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:<br /><br /><em> Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself.<br /><br /></em> The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research.<br /><br /><em> Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.<br /><br /></em>The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.</p>
Introducing Microsoft SQL Server 2014
by , Stacia Misner

Price : Free!

Language

English

Pages

144

Publication Date

April 15, 2014

Product Description
Customer Reviews
<p>NOTE: This title is also available as a free eBook on the Microsoft Download Center. It is offered for sale in print format as a convenience.<p> Get a head start evaluating SQL Server 2014 - guided by two experts who have worked with the technology from the earliest beta. Based on Community Technology Preview 2 (CTP2) software, this guide introduces new features and capabilities, with practical insights on how SQL Server 2014 can meet the needs of your business. Get the early, high-level overview you need to begin preparing your deployment now.<p> Coverage includes:<ul> <li>SQL Server 2014 Editions and engine enhancements</li> <li>Mission-critical performance enhancements</li> <li>Hybrid cloud enhancements</li> <li>Self-service Business Intelligence enhancements in Microsoft Excel</li> <li>Enterprise information management enhancements</li> <li>Big Data solutions</li> </ul>
Data Analytics: Best Practices to Learn and Execute Data Analytic...
by Daniel Jones

Price : Free!

Language

English

Pages

Publication Date

April 12, 2018

Product Description
Customer Reviews
What once may have seemed tedious, the world of data analytics is now evolving into needed discipline. From keeping track of user preference and product potential to healthcare records and bank loans, the real-world applications of data analytics is continuing to grow. <br />This book is here to help you learn even more about this growing world of data analytics in hopes of making it seem a lot less intimidating. This isn't meant to be a beginner’s book and is aimed for those that already have a basic understanding of analytics. You will learn in this book:<br />•Ways to effectively use data analytics<br />•Regression techniques<br />•Predictive analytics<br />•Discrete choice<br />•And much more<br />If you're looking to learn more about analytics, then this book is for you. Don't continue fearing the words data science, analytics, or analysis. Get this book today, and become comfortable in the world of data science.<br /><br /><br /><br /><br />
Data Analytics: Practical Guide to Leverage Statistics and Big Da...
by Charles Jensen

Price : Free!

Language

English

Pages

90

Publication Date

July 24, 2017

Product Description
Customer Reviews
<b>2 precise books in 1 about analyzing and mining data!</b> <br /><br />Book 1: Dive into the complicated matter of analyzing and mining for data correctly. Forget about intuition or assumptions. Data are facts you can rely on if you draw the right conclusions. Drawing those conclusions requires certain skills and a background in knowledge that leads to the proper steps. This guide will help you along the way by addressing topics such as:<br /><br />The what and why of data mining, and the different applications to business-related topics.<br /><br />Attributes, classifications, datasets, and types of learning you need to understand to fully be aware of what you are dealing with.<br /><br />Data quality and data quantity thoughts.<br /><br />Data mining process steps, including CRISP-DM and SEMMA..<br /><br />Linear, probabilistic, and other models to use in the visualization and analysis of data you have found.<br /><br />Techniques such as clustering, viewing genetic algorithms, and neural networks.<br /><br />Evaluation analysis strategies, classification, and numeric predictions.<br /><br />Book 2: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about:<br /><br />Modeling data and visualization.<br /><br />The three V’s of big data and what to do with them.<br /><br />Software recommendations and applications.<br /><br />Machine algorithms and interesting side notes regarding them.<br /><br />Rules, infrastructure, adaptation, and other techniques.<br /><br />Perception and cognition basics that apply to data.<br /><br />Efficient uses of regression, database querying, machine learning, and data warehousing.<br /><br />

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