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Big Data Now
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The Twitter Book
Provides information on using the social networking site Twitter.
Web Squared: Web 2.0 Five Years On
Ever since we first introduced the term Web 2.0, people have been asking, What ™s next? Assuming that Web 2.0 was meant to be a kind of software version number (rather than a statement about the second coming of the Web after the dotcom bust), we ™re constantly asked about Web 3.0. Is it the semantic web? The sentient web? Is it the social web? The mobile web? Is it some form of virtual reality? It is all of those, and more. The Web is no longer a collection of static pages of HTML that describe something in the world. Increasingly, the Web is the world "everything and everyone in the world casts an information shadow,an aura of data which, when captured and processed intelligently, offers extraordinary opportunity and mindbending implications. Web Squared is our way of exploring this phenomenon and giving it a name.
Web 2.0 and Beyond
Web 2.0 and Beyond: Principles and Technologies draws on the author’s iceberg model of Web 2.0, which places the social Web at the tip of the iceberg underpinned by a framework of technologies and ideas. The author incorporates research from a range of areas, including business, economics, information science, law, media studies, psychology, social informatics and sociology. This multidisciplinary perspective illustrates not only the wide implications of computing but also how other areas interpret what computer science is doing. After an introductory chapter, the book is divided into three sections. The first one discusses the underlying ideas and principles, including user-generated cont...
Big Data Now
Now in its sixth edition, O'Reilly's annual Big Data Now report recaps the trends, tools, applications, and forecasts we've examined throughout 2016. This collection of blog posts, authored by leading thinkers and experts in the field, reflects a unique set of themes we've identified as gaining significant attention and traction. Our list of topics for 2016 includes: Careers in data Tools and architecture for big data Intelligent real-time applications Cloud infrastructure Machine learning: models and training Deep learning and artificial intelligence.
Next Generation Web Technologies: Principles and Practices
It’s with great happiness that, I would like to acknowledge a great deal of people that get helped me extremely through the entire difficult, challenging, but a rewarding and interesting path towards some sort of Edited Book without having their help and support, none of this work could have been possible.
Lean Principles for Process Optimization in the Energy Sector
The energy sector faces significant issues, including climate change and energy security, renewable energy integration, and infrastructure challenges. These issues demand innovative solutions and policy changes to ensure a sustainable and reliable energy future. Lean Principles can significantly benefit the energy sector by reducing waste, improving efficiency, and lowering costs, ultimately contributing to a more sustainable and competitive industry. Through interviews with the director of continuous improvement for a large metropolitan energy company, this book relates the journey of learning and growth as shared through storytelling, reflecting, and releasing tested wisdom. By fostering a...
Big Data-Enabled Nursing
Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system inf...
What is Web 2.0
The concept of "Web 2.0" began with a conference brainstorming session between O'Reilly and MediaLive International. Dale Dougherty, web pioneer and O'Reilly VP, noted that far from having "crashed", the web was more important than ever, with exciting new applications and sites popping up with surprising regularity. What's more, the companies that had survived the collapse seemed to have some things in common. Could it be that the dot-com collapse marked some kind of turning point for the web, such that a call to action such as "Web 2.0" might make sense? We agreed that it did, and so the Web 2.0 Conference was born. In the year and a half since, the term "Web 2.0" has clearly taken hold, with more than 9.5 million citations in Google. But there's still a huge amount of disagreement about just what Web 2.0 means, with some people decrying it as a meaningless marketing buzzword, and others accepting it as the new conventional wisdom. This article is an attempt to clarify just what we mean by Web 2.0.
Big Data Now: 2012 Edition
The Big Data Now anthology is relevant to anyone who creates, collectsor relies upon data. It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes. In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows up:how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance. We've organized the second edition of Big Data Now into five areas: Getting Up to Speed With Big Data ...
