本书由 Spark 开发者及核心成员共同打造，讲解了网络大数据时代应运而生的、能高效迅捷地分析处理数据的工具——Spark，它带领读者快速掌握用 Spark 收集、计算、简化和保存海量数据的方法，学会交互、迭代和增量式分析，解决分区、数据本地化和自定义序列化等问题。

Foreword In a very short time, Apache Spark has emerged as the next generation big data processing engine, and is being applied throughout the industry faster than ever. Spark improves over Hadoop MapReduce, which helped ignite the big data revolution, in several key dimensions: it is much faster, much easier to use due to its rich APIs, and it goes far beyond batch applications to support a variety of workloads, including interactive queries, streaming, machine learning, and graph processing. I have been privileged to be closely involved with the development of Spark all the way from the drawing board to what has become the most active big data open source project today, and one of ...