Hadoop ecosystem

The Apache Hadoop Ecosystem is a library of components and a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

dotSolved brings deep experience with the entire Hadoop ecosystem–from core components (MapReduce, YARN, HDFS, HBASE to the extended family of proprietary and open source tools like Hive, Pig, Scoop and more.

Our experience and expertise enables us to address Big Data challenges quickly and efficiently. dotSolved focuses on the following Big Data challenges:

  1. Distributed and parallel processing algorithm implementation
  2. Infrastructure optimization and maintenance
  3. Scalability, Availability and Disaster Recovery Planning
  4. Data lifecycle management - capture, movement, quality control, replication and archival
  5. Virtualization Layers Optimization – Servers, Network and Storage

Our Hadoop Ecosystem expertise includes: