Introduction to Hadoop

Enterprises today collect and generate more data than ever before. Relational and data warehouse products excel at OLAP and OLTP workloads over structured data. The open-source project administered by the Apache Software Foundation known as Hadoop, is designed to solve a different problem: the fast, reliable analysis of both unstructured and complex data. As a result, many enterprises deploy Hadoop alongside their legacy IT systems, which allows them to combine old data and new data sets in powerful new ways.

Technically, Hadoop consists of two key services: reliable data storage using the Hadoop Distributed File System (HDFS) and high-performance parallel data processing using a technique called MapReduce. This technology opens the door to new enterprise solutions, as you no longer have to predict how you want to search or query your data in future use cases! This technology is playing a key role in the new trend of Big Data that is taking off in a rapid speed within huge enterprises.

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