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Introduction

Understand distributed data processing systems by exploring batch, stream, and micro-batch processing approaches. Learn about key frameworks such as MapReduce, Apache Spark, and Apache Flink, and how they handle large-scale data efficiently across multiple machines.

This chapter will examine distributed systems used to process large amounts of data that would be impossible or very inefficient to process using only a single machine.

Categories of distributed data processing systems

Distributed data processing systems can be classified into the following two ...