Key technology essential for big data processing is distributed computing. This approach allows for the storage and analysis of vast datasets across multiple servers. Frameworks like Apache Hadoop and Apache Spark facilitate the processing of massive amounts of data in parallel, significantly speeding up analysis times. These technologies also provide scalability and fault-tolerance, which are critical for managing the complexity and volume of big data effectively. Leveraging distributed computing enhances an organization's ability to derive insights from data quickly.