Learning Real-Time Processing with Spark Streaming

This edition of Learning Real-Time Processing with Spark Streaming has approximately 202 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Learning Real-Time Processing with Spark Streaming typically takes between 4h 13m and 2h 48m to complete. This is based on the book's length of approximately 50,500 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 3h 22m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 7 days • Estimated word count: 50,500 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.

The estimated word count for Learning Real-Time Processing with Spark Streaming is approximately 50,500 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.

Learning Real-Time Processing with Spark Streaming was written by Sumit Gupta.

The publication date for this specific edition is 2015. The original work may have been published on a different date.