Big Data
Kuan-Ching Li
Reading Time
at 250 WPM8h 18m
The average reader, reading at a speed of 250 WPM, would take 8h 18m to read Big Data.
Personalise your estimate by entering your reading speed below
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17
days at 30 min/day
498
total minutes
Big Data
by Kuan-Ching Li, Hai Jiang, Laurence Tianruo Yang
Published
2015
Publisher
Taylor & Francis Group
Pages
498
ISBN-13
9780429174018
Description
"Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap between the vastness of big data and the appropriate computational methods for scientific and social discovery. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, SaaS, and more"--
Subjects
Heinemann Mathematics
Elements
Philosophiae naturalis principia mathematica
Tractatus logico-philosophicus
De la terre à la lune
Principles of Anatomy and Physiology
Frequently Asked Questions
How many pages are in Big Data?
This edition of Big Data has approximately 498 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 10h 23m and 6h 55m to complete. This is based on the book's length of approximately 124,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 8h 18m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 17 days • Estimated word count: 124,500 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 124,500 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 Kuan-Ching Li, Hai Jiang, Laurence Tianruo Yang.
When was Big Data published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.