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Big Data Now: 2012 Edition

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The Big Data Now anthology is relevant to anyone who creates, collects\nor relies upon data. It’s not just a technical book or just a business\nguide. Data is ubiquitous and it doesn’t pay much attention to\nborders, so we’ve calibrated our coverage to follow it wherever it\ngoes.\nIn the first edition of Big Data Now, the O’Reilly team tracked the\nbirth and early development of data tools and data science. Now, with\nthis second edition, we’re seeing what happens when big data grows up:\nhow it’s being applied, where it’s playing a role, and the\nconsequences — good and bad alike — of data’s ascendance.\nWe’ve organized the second edition of Big Data Now into five areas:\nGetting Up to Speed With Big Data — Essential information on the\nstructures and definitions of big data.\nBig Data Tools, Techniques, and Strategies — Expert guidance for\nturning big data theories into big data products.\nThe Application of Big Data — Examples of big data in action,\nincluding a look at the downside of data.\nWhat to Watch for in Big Data — Thoughts on how big data will evolve\nand the role it will play across industries and domains.\nBig Data and Health Care — A special section exploring the\npossibilities that arise when data and health care come together.
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Quotes

  • Julia Chekaevahas quoted3 years ago
    Even if the data isn’t too big to move, locality can still be an issue, especially with rapidly updating data. Financial trading systems crowd into data centers to get the fastest connection to source data, because that millisecond difference in processing time equates to competitive advantage
  • Julia Chekaevahas quoted3 years ago
    IT is undergoing an inversion of priorities: it’s the program that needs to move, not the data
  • Julia Chekaevahas quoted3 years ago
    The majority of big data solutions are now provided in three forms: software-only, as an appliance or cloud-based. Decisions between which route to take will depend, among other things, on issues of data locality, privacy and regulation, human resources and project requirements. Many organizations opt for a hybrid solution: using on-demand cloud resources to supplement in-house deployments

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