Large scale and big data
Sherif Sakr
Reading Time
at 250 WPM10h 22m
The average reader, reading at a speed of 250 WPM, would take 10h 22m to read Large scale and big data.
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21
days at 30 min/day
622
total minutes
Large scale and big data
by Sherif Sakr, Mohamed Medhat Gaber
Published
2014
Publisher
Taylor & Francis
Pages
622
ISBN-13
9781466581500
Description
"This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independent reviewers. The book covers the latest research discoveries and applications. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques"--
Subjects
Reconfigurable Processor Array A Bit Sliced Parallel Computer (USA)
SQL for Dummies
Artificial Intelligence and Soft Computing
Designing Data-Intensive Applications
Database system concepts
A first course in database systems
Frequently Asked Questions
How many pages are in Large scale and big data?
This edition of Large scale and big data has approximately 622 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 12h 58m and 8h 38m to complete. This is based on the book's length of approximately 155,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 10h 22m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 21 days • Estimated word count: 155,500 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 Large scale and big data?
The estimated word count for Large scale and big data is approximately 155,500 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 Large scale and big data?
Large scale and big data was written by Sherif Sakr, Mohamed Medhat 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.