Big data is a very new and important trend in agriculture domain. People now realize the importance of Big Data in E-Agriculture. Big data analytics is a very tough thing in the agriculture field. However, how to use big data analytics in agriculture field to improve the productivity in practices. Purpose of this E-Agriculture to reduce technological gap between rural communities and share information via recommendations and decision support system. Apache Spark is a distributed memory-based computing framework which is naturally suitable for machine learning. Hadoop, the spark has the better way of functionality and ability of computing learning. In this paper, analyze spark framework with basic concept means spark’s primary framework this paper proposes an architecture for managing big data in the agriculture area. The main advantage of this method is managing massive dataset which is already existing. This technique is faster than any other traditional one.