HADOOP

Hadoop is an open source software framework that empowers distributed storage and processing of enormous data sets across cluster of commodity servers and cloud.

Hadoop Common Utilities

Hadoop YARN Resource Management

MapReduce Distributed Computation

Hadoop Distributed File System

HADOOP FEATURES

Hadoop core modules are designed to scale up from a single server to numerous machines, featuring the automatic error detection library and extremely high standard of Fault-Tolerance.

Powerful Fault-Tolerance

Hadoop big-data platform is highly resilient to hardware failures by using another nodes to survive.

Scalability & Agility

Smoothly and swiftly, scale or change Big-data at point of requirement matching enterprise applications.

Open-Source & JAVA-written

Advantages of open-source, also, being written in Java, it is compatible on all the platforms.

Large data storage & Analytics Warehouse

Hadoop is capable to manage the data-lake and secure data-analysis of large data clusters.

Extreme Processing & Computing Power

Capable to compute and work on huge sets of data with no friction and zero fault tolerance.

Recommendation System

Perfectly fits and well optimised for the shopping sites, portals, etc.

ATTUNE SERVICES

Ready to Deploy Solutions

Enterprise-class Services

Extraneous Big Data Compatibility

Case Study

HADOOP

Attune’s unwrap solution for the Hadoop offers a ready for deployment, enterprise-class communications for Hadoop consultation in order that you can manage and gain cognizance from the big data.

HADOOP COMPONENTS INSTALLATION ON CLUSTER

The Apache Hadoop framework enables the distributed process of big data sets across clusters of systems.

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COMING SOON

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