Big Data
Nathan Marz
Reading Time
at 250 WPM5h 28m
The average reader, reading at a speed of 250 WPM, would take 5h 28m to read Big Data.
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11
days at 30 min/day
328
total minutes
Big Data
by Nathan Marz
Published
2015
Publisher
Manning Publications Co. LLC
Pages
328
ISBN-13
9781638351108
Description
Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. What's inside: Introduction to big data systems; Real-time processing of web-scale data; Tools like Hadoop, Cassandra, and Storm; Extensions to traditional database skills. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. - Back cover.
Subjects
Frequently Asked Questions
How many pages are in Big Data?
This edition of Big Data has approximately 328 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 50m and 4h 33m to complete. This is based on the book's length of approximately 82,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 28m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 11 days • Estimated word count: 82,000 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 Big Data?
The estimated word count for Big Data is approximately 82,000 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 Big Data?
Big Data was written by Nathan Marz.
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.