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Learning to Love Data Science

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by Mike Barlow
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Learning to Love Data Science by Mike Barlow

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse.

Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you'll find out how far data science reaches.

With this anthology, you'll learn how:

  • Analysts can now get results from their data queries in near real time
  • Indie manufacturers are blurring the lines between hardware and software
  • Companies try to balance their desire for rapid innovation with the need to tighten data security
  • Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center
  • CIOs have gradually evolved from order takers to business innovators
  • New analytics tools let businesses go beyond data analysis and straight to decision-making

Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

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Ebook Details
Pages: 162
Size: 3.1 MB
Publisher: O'Reilly Media
Date published:   2015
ISBN: 9781491936542 (DRM-EPUB)
9781491936566 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers > Data Processing
Nonfiction > Computers > Database Management > Data Warehousing
Nonfiction > Computers > Database Management > Servers

This author has products in the following categories:

Nonfiction > Business & Economics
Nonfiction > Computers > Data Processing
Nonfiction > Computers > Database Management
Nonfiction > Business & Economics > Leadership
Nonfiction > Computers > Database Management > Data Warehousing
Nonfiction > Computers > Database Management > Servers

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