How Long to Read Large-Scale Graph Processing Using Apache Giraph

How Long Does it Take to Read Large-Scale Graph Processing Using Apache Giraph?

It takes the average reader 3 hours and 22 minutes to read Large-Scale Graph Processing Using Apache Giraph by Sherif Sakr

Assuming a reading speed of 250 words per minute. Learn more

Description

This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-step self-study guide for everyone interested in large-scale graph processing, it describes the fundamental abstractions of the system, its programming models and various techniques for using the system to process graph data at scale, including the implementation of several popular and advanced graph analytics algorithms. The book is organized as follows: Chapter 1 starts by providing a general background of the big data phenomenon and a general introduction to the Apache Giraph system, its abstraction, programming model and design architecture. Next, chapter 2 focuses on Giraph as a platform and how to use it. Based on a sample job, even more advanced topics like monitoring the Giraph application lifecycle and different methods for monitoring Giraph jobs are explained. Chapter 3 then provides an introduction to Giraph programming, introduces the basic Giraph graph model and explains how to write Giraph programs. In turn, Chapter 4 discusses in detail the implementation of some popular graph algorithms including PageRank, connected components, shortest paths and triangle closing. Chapter 5 focuses on advanced Giraph programming, discussing common Giraph algorithmic optimizations, tunable Giraph configurations that determine the system’s utilization of the underlying resources, and how to write a custom graph input and output format. Lastly, chapter 6 highlights two systems that have been introduced to tackle the challenge of large scale graph processing, GraphX and GraphLab, and explains the main commonalities and differences between these systems and Apache Giraph. This book serves as an essential reference guide for students, researchers and practitioners in the domain of large scale graph processing. It offers step-by-step guidance, with several code examples and the complete source code available in the related github repository. Students will find a comprehensive introduction to and hands-on practice with tackling large scale graph processing problems using the Apache Giraph system, while researchers will discover thorough coverage of the emerging and ongoing advancements in big graph processing systems.

How long is Large-Scale Graph Processing Using Apache Giraph?

Large-Scale Graph Processing Using Apache Giraph by Sherif Sakr is 197 pages long, and a total of 50,629 words.

This makes it 66% the length of the average book. It also has 62% more words than the average book.

How Long Does it Take to Read Large-Scale Graph Processing Using Apache Giraph Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 36 minutes to read Large-Scale Graph Processing Using Apache Giraph aloud.

What Reading Level is Large-Scale Graph Processing Using Apache Giraph?

Large-Scale Graph Processing Using Apache Giraph is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Large-Scale Graph Processing Using Apache Giraph?

Large-Scale Graph Processing Using Apache Giraph by Sherif Sakr is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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