Large Scale and Big Data
Sherif Sakr
Reading Time
at 250 WPM10h 36m
The average reader, reading at a speed of 250 WPM, would take 10h 36m to read Large Scale and Big Data.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
22
days at 30 min/day
636
total minutes
Large Scale and Big Data
Published
2014
Publisher
Auerbach Publishers, Incorporated
Pages
636
ISBN-13
9781466581517
Frequently Asked Questions
How many pages are in Large Scale and Big Data?
This edition of Large Scale and Big Data has approximately 636 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 Large Scale and Big Data?
For most readers, Large Scale and Big Data typically takes between 13h 15m and 8h 50m to complete. This is based on the book's length of approximately 159,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 10h 36m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 22 days • Estimated word count: 159,000 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 Large Scale and Big Data?
The estimated word count for Large Scale and Big Data is approximately 159,000 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 Large Scale and Big Data?
Large Scale and Big Data was written by Sherif Sakr, Mohamed Gaber.
When was Large Scale and Big Data published?
The publication date for this specific edition is 2014. The original work may have been published on a different date.