Final answer:
The statement is true, as Hadoop is a framework designed for big data analytics and is an implementation of the MapReduce programming model, which allows for scalable data processing across a cluster of servers.
Step-by-step explanation:
The statement is true: Hadoop is indeed a framework that supports big data analytics and is an implementation of the MapReduce programming model. MapReduce is a core component of Hadoop. It's a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. The MapReduce model processes large structured and unstructured data sets by distributing the data processing over these servers.
Hadoop also includes other components such as the Hadoop Distributed File System (HDFS) which stores data across multiple machines without prior organization. Additionally, while Hadoop MapReduce was the original framework for processing data in this ecosystem, other tools like Apache Spark have also become popular due to their speed and ease of use for certain types of computations.