How Long to Read Stream Processing with Apache Spark

By Gerard Maas

How Long Does it Take to Read Stream Processing with Apache Spark?

It takes the average reader 7 hours and 38 minutes to read Stream Processing with Apache Spark by Gerard Maas

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

Description

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams

How long is Stream Processing with Apache Spark?

Stream Processing with Apache Spark by Gerard Maas is 453 pages long, and a total of 114,609 words.

This makes it 153% the length of the average book. It also has 140% more words than the average book.

How Long Does it Take to Read Stream Processing with Apache Spark Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 26 minutes to read Stream Processing with Apache Spark aloud.

What Reading Level is Stream Processing with Apache Spark?

Stream Processing with Apache Spark 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 Stream Processing with Apache Spark?

Stream Processing with Apache Spark by Gerard Maas 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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