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The InfoSec Handbook: An Introduction to Information Security
by , Umesh Hodeghatta Rao

Price : Free!

Language

English

Pages

392

Publication Date

September 17, 2014

Product Description
Customer Reviews
The InfoSec Handbook offers the reader an organized layout of information that is easily read and understood. Allowing beginners to enter the field and understand the key concepts and ideas, while still keeping the experienced readers updated on topics and concepts. It is intended mainly for beginners to the field of information security, written in a way that makes it easy for them to understand the detailed content of the book. The book offers a practical and simple view of the security practices while still offering somewhat technical and detailed information relating to security. It helps the reader build a strong foundation of information, allowing them to move forward from the book with a larger knowledge base. Security is a constantly growing concern that everyone must deal with. Whether it’s an average computer user or a highly skilled computer user, they are always confronted with different security risks. These risks range in danger and should always be dealt with accordingly. Unfortunately, not everyone is aware of the dangers or how to prevent them and this is where most of the issues arise in information technology (IT). When computer users do not take security into account many issues can arise from that like system compromises or loss of data and information. This is an obvious issue that is present with all computer users. This book is intended to educate the average and experienced user of what kinds of different security practices and standards exist. It will also cover how to manage security software and updates in order to be as protected as possible from all of the threats that they face.
Agile Processes in Software Engineering and Extreme Programming: ...
by , Matthias Riebisch

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Language

English

Pages

306

Publication Date

April 12, 2017

Product Description
Customer Reviews
This book is open access under a CC BY license. <br />The volume constitutes the proceedings of the 18th International Conference on Agile Software Development, XP 2017, held in Cologne, Germany, in May 2017.<br />The 14 full and 6 short papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: improving agile processes; agile in organization; and safety critical software. In addition, the volume contains 3 doctoral symposium papers (from 4 papers submitted).
Python: Programming For Advanced: Learn The Basics Of Python In 7...
by Maurice J. Thompson

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Language

English

Pages

122

Publication Date

April 17, 2018

Product Description
Customer Reviews
<h1>Eager to learn Python Programming Quickly?</h1><br /><br />This book has actionable information that will help you to understand python at an advanced level.<br />Welcome to the final issue of our Python programming book series. This book is the advanced edition that you have been building up to as you went through the exercises in the last two books. This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating. <br /><br /><h1>Here's what we will talk about in this book: </h1><br />✓File management<br />✓Python Iterator<br />✓Python Generator<br />✓Regular Expressions <br />✓Python Closure<br />✓Python Property<br />✓Python Assert, and<br />✓Simple recap projects <br /><br /><h2>By reading this book, you will learn all that and much more. Let’s begin. </h2>
Introducing Microsoft Power BI
by , Marco Russo

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Language

English

Pages

351

Publication Date

July 07, 2016

Product Description
Customer Reviews
<p style="margin:0px;"> <b> <i>This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.</i> </b> </p> <p style="margin:0px;"> </p> <p style="margin:0px;"> <i>Introducing Microsoft Power BI </i>enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. </p> <p style="margin:0px;"> </p> <p style="margin:0px;">Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details.</p> <p style="margin:0px;"> </p> <p style="margin:0px;">Learn more about Power BI at https://powerbi.microsoft.com/.</p>
Bayesian Methods in the Search for MH370 (SpringerBriefs in Signa...
by , Jason Williams

Price : Free!

Language

English

Pages

114

Publication Date

July 15, 2016

Product Description
Customer Reviews
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean.The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
Building Data Science Teams
by DJ Patil

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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

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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.
Real-Time Big Data Analytics: Emerging Architecture
by Mike Barlow

Price : Free!

Language

English

Pages

27

Publication Date

June 24, 2013

Product Description
Customer Reviews
<p>Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.</p>
Enabling Things to Talk: Designing IoT solutions with the IoT Arc...
by , Stefan Meissner

Price : Free!

Language

English

Pages

349

Publication Date

October 28, 2013

Product Description
Customer Reviews
The Internet of Things (IoT) is an emerging network superstructure that will connect physical resources and actual users. It will support an ecosystem of smart applications and services bringing hyper-connectivity to our society by using augmented and rich interfaces.  Whereas in the beginning IoT referred to the advent of barcodes and Radio Frequency Identification (RFID), which helped to automate inventory, tracking and basic identification, today IoT is characterized by a dynamic trend toward connecting smart sensors, objects, devices, data and applications. The next step will be “cognitive IoT,” facilitating object and data re-use across application domains and leveraging hyper-connectivity, interoperability solutions and semantically enriched information distribution.The Architectural Reference Model (ARM), presented in this book by the members of the IoT-A project team driving this harmonization effort, makes it possible to connect vertically closed systems, architectures and application areas so as to create open interoperable systems and integrated environments and platforms. It constitutes a foundation from which software companies can capitalize on the benefits of developing consumer-oriented platforms including hardware, software and services.The material is structured in two parts. Part A introduces the general concepts developed for and applied in the ARM. It is aimed at end users who want to use IoT technologies, managers interested in understanding the opportunities generated by these novel technologies, and system architects who are interested in an overview of the underlying basic models. It also includes several case studies to illustrate how the ARM has been used in real-life scenarios. Part B then addresses the topic at a more detailed technical level and is targeted at readers with a more scientific or technical background. It provides in-depth guidance on the ARM, including a detailed description of a process for generating concrete architectures, as well as reference manuals with guidelines on how to use the various models and perspectives presented to create a concrete architecture. Furthermore, best practices and tips on how system engineers can use the ARM to develop specific IoT architectures for dedicated IoT solutions are illustrated and exemplified in reverse mapping exercises of existing standards and platforms.
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>

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