Uncover hidden patterns of data & respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches & attacks This careful guide explores two of the most powerful data analysis & visualization You'll soon understand how to harness & wield data from collection & storage to management & analysis as well as visualization & presentation Using a hands-on approach with real-world examples this book shows you how to gather feedback measure the effectiveness of your security methods & make better decisions Everything in this book will have practical application for information security professionals Helps IT & security professionals understand & use data so they can thwart attacks & understand & visualize vulnerabilities in their networks
Includes: more than a dozen real-world examples & hands-on exercises that demonstrate how to analyze security data & intelligence & translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire & prepare security data use simple statistical methods to detect malware predict rogue behavior correlate security events & more Written by a team of well-known experts in the field of security & data analysis Lock down your networks prevent hacks & thwart malware by improving visibility into the environment all through the power of data & Security Using Data Analysis Visualization & Dashboards
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A long-time chief data scientist at Amazon shows how open data can make everyone not just corporations richer Every time we Google something Facebook someone Uber somewhere or even just turn on a light we create data that businesses collect & use to make decisions about us In many ways this has enhanced our lives yet we as individuals do not benefit from this wealth of data as much as we could Moreover whether it is a bank evaluating our credit worthiness an insurance company determining our risk level or a potential employer deciding whether we get a job it is likely that this data will be used against us rather than for us In Data for the People Andreas Weigend draws on his years as a consultant for commerce education healthcare travel & finance companies to outline how Big Data can work better for all of us As of today how much we benefit from Big Data depends on how closely the interests of big companies align with our own Too often outdated standards of control & privacy force us into unfair contracts with data companies but it doesn't have to be this way Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us Only then can we the people get back more from Big Data than we give it Big Data is here to stay Now is the time to find out how we can be empowered by it ...

This collaborative book coordinated by the European Journalism Centre & the Open Knowledge Foundation aims to answer questions like Where can I find data? How can I request data? What tools can I use? How can I find stories in data? How can I make data journalism sustainable? It had a very successful start at the Mozilla Festival in London in November 2011 with fifty contributors including data journalists & professors from the New York Times Financial Times Guardian Chicago Tribune Medill School of Journalism & Cronkite School of Journalism Additional contributors now include leading developers analysts FOI experts & other practitioners from places like the BBC City University London Scraperwiki Zeit Online & many others The project has received coverage in the New York Times Liberation Tech Crunch World Editors Forum & other major publications ...

Data Mining Concepts & Techniques provides the concepts & techniques in processing gathered data or information which will be used in various applications Specifically it explains data mining & the tools used in discovering knowledge from the collected data This book is referred as the knowledge discovery from data (KDD) It focuses on the feasibility usefulness effectiveness & scalability of techniques of large data sets After describing data mining this edition explains the methods of knowing preprocessing processing & warehousing data It then presents information about data warehouses online analytical processing (OLAP) & data cube technology Then the methods involved in mining frequent patterns associations & correlations for large data sets are described The book details the methods for data classification & introduces the concepts & methods for data clustering The remaining chapters discuss the outlier detection & the trends applications & research frontiers in data mining This book is intended for Computer Science students application developers business professionals & researchers who seek information on data mining ...

Data Science & Big Data Analytics is about harnessing the power of data for new insights The book covers the breadth of activities & methods & tools that Data Scientists use 432 pages ...

This is a first-principles-based practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills The book covers The important parts of Python to know The important parts of Math Probability Statistics to know The basics of data science How commonly-used data science techniques work (learning by implementing them) What is Map-Reduce & how to do it in Python Other applications such as NLP Network Analysis & more ...

Data stewards in business & IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted dependable & high quality Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance including how to organize train & work with data stewards get high-quality business definitions & other metadata & perform the day-to-day tasks using a minimum of the steward's time & effort David Plotkin has loaded this book with practical advice on stewardship so you can get right to work have early successes & measure & communicate those successes gaining more support for this critical effort ...

Now in its second edition DS Malik brings his proven approach toC programming to the CS2 course Clearly written with the student in mind this text focuses on Data Structures &

Includes:: advanced topics in C such as Linked Lists & the Standard Template Library (STL) The text features abundant visual diagrams examples & extended Programming Examples all of which serve to illuminate difficult concepts Complete programming code & clear display of syntax explanation & example are used throughout the text & each chapter concludes with a robust exercise set

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Voted one of the "six best books for data geeks" by The Financial Times Read the review here Lecturers request your electronic inspection copy Never has it been more essential to work in the world of data Scholars & students need to be able to analyze design & curate information into useful tools of communication insight & understanding This book is the starting point in learning the process & skills of data visualization teaching the concepts & skills of how to present data & inspiring effective visual design Benefits of this book A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic & contemporary examples giving illustrations of good & bad practice Examples on every page to give creative inspiration Illustrations of good & bad practice show you how to critically evaluate & improve your own work Advice & experience from the best designers in the field Loads of online practical help checklists case studies & exercises make this the most comprehensive text available ...

Learn how to turn raw data into rich interactive web visualizations with the powerful combination of Python & Java Script With this hands-on guide author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python & Java Script libraries-including Scrapy Matplotlib Pandas Flask & D3-for crafting engaging browser-based visualizations As a working example throughout the book Dale walks you through transforming Wikipedia's table-based list of Nobel Prize winners into an interactive visualization You'll examine steps along the entire toolchain from scraping cleaning exploring & delivering data to building the visualization with Java Script's D3 library If you're ready to create your own web-based data visualizations-and know either Python or Java Script- this is the book for you Learn how to manipulate data with Python Understand the commonalities between Python & Java Script Extract information from websites by using Python's web-scraping tools Beautiful Soup & Scrapy Clean & explore data with Python's Pandas Matplotlib & Numpy libraries Serve data & create RESTful web APIs with Python's Flask framework Create engaging interactive web visualizations with Java Script's D3 library ...