Apache Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common and should be automatically handled by the framework.
The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called MapReduce. Hadoop splits files into large blocks and distributes them across nodes in a cluster. To process data, Hadoop transfers packaged code for nodes to process in parallel based on the data that needs to be processed.
This approach takes advantage of data locality— nodes manipulating the data they have access to— to allow the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high-speed networking.
Hadoop Operational Support
We also offer round-the-clock system monitoring and operational excellence services with specialists who work on big data projects daily, so you can be confident your data is safe and your systems running smoothly. Our post-production support includes, but isn’t limited to:
- Performance monitoring of the Hadoop cluster.
Proactive and reactive monitoring
Continuous improvements and upgrades
Ongoing new data integration
24X7 problem resolution, root cause analysis and corrective actions