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Hadoop ecosystem

AAILHadoop ecosystem

Big Data & Analytics provides both questions and answers to the businesses which ultimately lead to maximizing the value of Hadoop ecosystem. It is most common for the organizations that often face hard to capture, complicated to analyze and costly to store, high volumes of data could causes legacy application delay critical answers to the business. Harnessing volatiles unstructured data is the other part of the solution. To grow business, organizations need to use the power of their data to win opportunities and competitive advantages.

The technologies that we use in the Big Data and Analytics services helps us to simplify and facilitate the smooth integration of Hadoop ecosystem in the current IT ecosystems. Hadoop ecosystem enables an organization to optimize the utilization of the live team while reducing IT cost using commodity hardware and monetizing historical data. Hadoop Ecosystem is a library of components and a framework that enables for the distributed processing of mammoth data sets across clusters of computers leveraging simple programming models.


Hadoop Ecosystem allows scaling up from single servers to thousands of machines, each offering local computation and storage. Where hardware cannot deliver high-availability, the library can detect and handle failures at the application layer as it is designed for this scenario.

Our experience and expertise include:

  • Reliable, distributed file system called Hadoop Distributed File System (HDFS)
  • High-performance parallel data processing engine known as Hardtop MapReduce
  • Cloudera
  • Hortonworks
  • MapR
  • Greenplum
  • IBM
  • Amazon