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.
Description:
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.