Big Data

The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption reflects how the growth of big data perfectly overlaps with that of IoT framework. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection, efficiency, data processing, analytics, and security. To address these concerns, researchers at Ritwik Software Technologies Pvt. Ltd. have examined the challenges associated with the successful deployment of IoT.

Apache Hadoop

Hadoop is an open-source software framework used for distributed storage and processing of datasets of big data using the MapReduce programming model. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.

Hadoop enables multiple types of analytic workloads to run on the same data, at the same time.

Hadoop is an open-source software framework used for distributed storage and processing of data sets of big data using the MapReduce programming model. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.

Hadoop enables multiple types of analytic workloads to run on the same data, at the same time.