Big Data
Georg Gottlob
Reading Time
at 250 WPM5h 3m
The average reader, reading at a speed of 250 WPM, would take 5h 3m to read Big Data.
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11
days at 30 min/day
303
total minutes
Big Data
Published
2013
Publisher
Springer Berlin / Heidelberg
Pages
303
ISBN-13
9783642394669
Description
This book constitutes the thoroughly refereed post-conference proceedings of the 29th British National Conference on Databases, BNCOD 2013, held in Oxford, UK, in July 2013. The 20 revised full papers, presented together with three keynote talks, two tutorials, and one panel session, were carefully reviewed and selected from 42 submissions. Special focus of the conference has been "Big Data" and so the papers cover a wide range of topics such as query and update processing; relational storage; benchmarking; XML query processing; big data; spatial data and indexing; data extraction and social networks.
Subjects
Advances in Computers, Volume 49 (Advances in Computers)
Software Engineering
Transactions on Engineering Technologies
Introduction to Algorithms
Masters of Doom
Don't Make Me Think
Frequently Asked Questions
How many pages are in Big Data?
This edition of Big Data has approximately 303 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Big Data?
For most readers, Big Data typically takes between 6h 19m and 4h 13m to complete. This is based on the book's length of approximately 75,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 3m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 75,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Big Data?
The estimated word count for Big Data is approximately 75,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Big Data?
Big Data was written by Georg Gottlob.
When was Big Data published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.