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Bad Data Handbook

Author : Q. Ethan McCallum

Publisher : "O'Reilly Media, Inc."

Page : 265 pages

File Size : 48,93 MB

Release : 2012-11-07

Category : Computers

ISBN : 1449324975

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Book Description

What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis



Bad Data Handbook

Author : Q. Ethan McCallum

Publisher : "O'Reilly Media, Inc."

Page : 265 pages

File Size : 37,79 MB

Release : 2012-11-14

Category : Computers

ISBN : 1449321887

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Book Description

"Mapping the world of data problems"--Cover.



Fundamentals of Data Visualization

Author : Claus O. Wilke

Publisher : O'Reilly Media

Page : 390 pages

File Size : 16,93 MB

Release : 2019-03-18

Category : Computers

ISBN : 1492031054

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Book Description

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story



Data Analysis with Open Source Tools

Author : Philipp K. Janert

Publisher : "O'Reilly Media, Inc."

Page : 534 pages

File Size : 46,6 MB

Release : 2010-11-11

Category : Computers

ISBN : 1449396658

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Book Description

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora



The Handbook for Bad Days

Author : Eveline Helmink

Publisher : Tiller Press

Page : 240 pages

File Size : 40,79 MB

Release : 2021-02-23

Category : Self-Help

ISBN : 1982152761

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Book Description

Keep your head held high even on the bad days with 70 mindful self-care strategies to find happiness. In a time when social media encourages us to constantly highlight how great we’re doing and how #Blessed life is, there seems to be little room for the inevitable truth: in every life, there are days that are NOT great. Yet decades in the self-help world have taught Eveline Helmink—editor-in-chief of Happinez magazine and a self-titled cheerleader for failure and discomfort—that true emotional growth comes from realizing that it’s often on our worst days when we learn the most about what empowers, strengthens, and revitalizes us—and yes, brings us happiness. In The Handbook for Bad Days, Helmink teaches you how to take advantage of bad days as moments for self-discovery and emotional understanding. Her compassionate, no-bullshit approach encourages you to detox from the social media world and rethink your coping strategies, exploring topics such as, -The benefits of a good cry -Why, sometimes, it’s okay to give up -Why a fuzzy pink cardigan and some Celine Dion is just as good as a Sanskrit mantra The Handbook for Bad Days is the ultimate guide for anyone who strives to be present, not perfect. Perfect for fans of Glennon Doyle, Elizabeth Lesser, and Krista Tippet, The Handbook for Bad Days is a call to face our worst days with courage and intentionality.



How Bad Are Bananas?

Author : Mike Berners-Lee

Publisher : Profile Books

Page : 208 pages

File Size : 33,57 MB

Release : 2020-09-03

Category : Science

ISBN : 1782837116

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Book Description

'It is terrific. I can't remember the last time I read a book that was more fascinating and useful and enjoyable all at the same time.' Bill Bryson How Bad Are Bananas? was a groundbreaking book when first published in 2009, when most of us were hearing the phrase 'carbon footprint' for the first time. Mike Berners-Lee set out to inform us what was important (aviation, heating, swimming pools) and what made very little difference (bananas, naturally packaged, are good!). This new edition updates all the figures (from data centres to hosting a World Cup) and introduces many areas that have become a regular part of modern life - Twitter, the Cloud, Bitcoin, electric bikes and cars, even space tourism. Berners-Lee runs a considered eye over each area and gives us the figures to manage and reduce our own carbon footprint, as well as to lobby our companies, businesses and government. His findings, presented in clear and even entertaining prose, are often surprising. And they are essential if we are to address climate change.



Big Data Architect’s Handbook

Author : Syed Muhammad Fahad Akhtar

Publisher : Packt Publishing Ltd

Page : 476 pages

File Size : 20,83 MB

Release : 2018-06-21

Category : Computers

ISBN : 1788836383

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Book Description

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architects Who this book is for Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.



Managing RPM-Based Systems with Kickstart and Yum

Author : Q. Ethan McCallum

Publisher : "O'Reilly Media, Inc."

Page : 75 pages

File Size : 11,12 MB

Release : 2007-03-13

Category : Computers

ISBN : 1491905905

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Book Description

Managing multiple Red Hat-based systems can be easy--with the right tools. The yum package manager and the Kickstart installation utility are full of power and potential for automatic installation, customization, and updates. Here's what you need to know to take control of your systems.



Customer Data Integration

Author : Jill Dyché

Publisher : John Wiley & Sons

Page : 358 pages

File Size : 11,71 MB

Release : 2011-01-31

Category : Business & Economics

ISBN : 1118046471

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Book Description

"Customers are the heart of any business. But we can't succeed if we develop only one talk addressed to the 'average customer.' Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyché is to be complimented for her thoroughness in interviewing executives and presenting CDI." -Philip Kotler, S. C. Johnson Distinguished Professor of International Marketing Kellogg School of Management, Northwestern University "In this world of killer competition, hanging on to existing customers is critical to survival. Jill Dyché's new book makes that job a lot easier than it has been." -Jack Trout, author, Differentiate or Die "Jill and Evan have not only written the definitive work on Customer Data Integration, they've made the business case for it. This book offers sound advice to business people in search of innovative ways to bring data together about customers-their most important asset-while at the same time giving IT some practical tips for implementing CDI and MDM the right way." -Wayne Eckerson, The Data Warehousing Institute author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business Whatever business you're in, you're ultimately in the customer business. No matter what your product, customers pay the bills. But the strategic importance of customer relationships hasn't brought companies much closer to a single, authoritative view of their customers. Written from both business and technicalperspectives, Customer Data Integration shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI.



The Data Model Resource Book, Volume 1

Author : Len Silverston

Publisher : John Wiley & Sons

Page : 572 pages

File Size : 30,97 MB

Release : 2011-08-08

Category : Computers

ISBN : 111808232X

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Book Description

A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.