Hadoop – A Framework for Storing Data and Running Applications on Clusters | Miri Infotech


October 31, 2018


Miri Infotech is launching a product which will configure and publish Hadoop eco-system which is embedded pre-configured tool with Ubuntu 16.04 and ready-to-launch AMI on Amazon EC2 that contains Hadoop, HDFS, Hbase, drill, mahout, pig, hive, etc. Miri Infotech brings a wide range of amazing products such as Hadoop, Nagios, Datamelt, Predictive R, TimeTrex, openCRX etc. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. Hadoop solves big data problems and can be considered as a suite which encompasses a number of services (ingesting, storing, analyzing and maintaining) inside it.

Hadoop saves the user from having to acquire additional hardware for a traditional database system to process data. It also reduces the effort and time required to load the data into another system as you can process it directly within Hadoop.

Importance of Hadoop is:

  • Capacity to store and process great amounts of any kind of data, quickly.
  • It’s a distributed computing model processes big data fast.
  • Application and Data processing are protected against hardware failure.
  • It is flexible, unlike traditional relational databases. With Hadoop, you don’t have to preprocess data before storing it.

Comprehensive Hadoop services offered by Miri Infotech are:

  • Hadoop 2.8.4

It is an open-source framework that allows the creation of parallel processing applications on huge datasets, distributed across networked nodes.

  • Spark 2.3.0

Spark is a fast, in-memory data processing engine with elegant and expressive development APIs to enable data workers to efficiently execute streaming, machine learning or SQL workloads that require quick iterative access to datasets.

  • Scala 2.11.6

Scala is a programming language that expresses the programming patterns in a concise, elegant, and type-safe way; it can be easily integrated with Java. It supports functions, immutable data structures and gives preference to immutability over mutation.

  • Mahout 0.13.0

Mahout produces free implementations of distributed or otherwise scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering, and classification.

  • Drill 1.13.0

The main purpose of Drill is large-scale data processing including structured and semi-structured data. It is a low latency distributed query engine that is used to scale to several thousands of nodes and query petabytes of data.

  • Hive

Hive is an open source data warehouse system for probing and analyzing large datasets stored in Hadoop files. Hive do three main functions: query, data summarization, and analysis.

  • Pig 0.17.0

Pig is an advanced language platform for querying and analyzing huge dataset, which is stored in HDFS. Pig as a component of the Hadoop Ecosystem uses PigLatin language.


MIRI Hadoop Support

Miri provides Hadoop technical support and services for installation and setup issues through our support center. We are ready to answer all your queries related to product and we would happy to help/support you with product configuration and development.

  • Contact No. at- +1 (510)298-5936
  • Email– support@
  • 24*7 Hrs. facility is available. Client can contact us at any time.

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