Apache Hadoop

An open-source software platform for the distributed processing of massive amounts of big data across clusters of computers.

Hadoop’s high level architecture is composed of many modules. These modules give the Hadoop platform the required flexibility by enabling other application frameworks to run on this framework. Hadoop also employs a distributed file system that stores data on commodity hardware and links the numerous file systems into one big file system. Moreover, the framework is now supplemented by other projects such as Apache Pig, Apache Hive, and Apache Spark which further add to the usability of Hadoop. In this Big Data age, Hadoop is an invaluable platform for businesses. Using Hadoop, enterprises can build scalable, flexible and fault-tolerant solutions at exciting costs. This platform can be deployed onsite or in the cloud, allowing organizations to deploy Hadoop with the help of technology partners and saving them the cost of hardware acquisition. Prominent users of Hadoop include Facebook, Yahoo! and a host of other Fortune 50 companies. EnR provides Apache Hadoop implementation services. We help you derive immense value from your Big Data through rapid implementation. Our team delivers end-to-end solutions for Hadoop right from consulting to deployment to end support. EnR makes handling complex data a simple task!

Our Services


Our consultants will come up with solutions for your data management challenges. These might include using it as a data warehouse, a data hub, an analytic sandbox or a staging environment.

Design & Development

Our experienced team can bring their knowledge in Hadoop Ecosystems to impact on your business. These will include Hive, Sqoop, Oozie, HBase, Pig, Flume and Zookeeper. Using these we can deliver scalable effective solutions based on Apache Hadoop.


The Hadoop solutions we develop can be integrated with enterprise applications such as Alfresco, CRM, ERP, Marketing Automation, Liferay, Drupal, Talend, and more.

Support and Maintenance

Our round the clock support service means that your Hadoop systems are always going to be running.

The key benefits of using Hadoop

The experts working at EnR offer an in-depth understanding of all the layers of a Hadoop stack. Our developers know everything they need to know about designing Hadoop clusters, the different modules of Hadoop architecture, performance tuning and setting up the top chain responsible for data processing in place.

We have skills and experience when it comes to working with Big Data tools such as Cloudera, Hortonworks, MapR and BigInsights, as well as relevant technologies like HDFS, HBase, Cassandra, Kafka, Spark, Storm, Scalr, Oozie, PIG, Hive, Avro, Zookeeper, Sqoop and Flume.


The structure of Hadoop means that it can scale horizontally, unlike traditional relational databases. This is because the data can be stored across a cluster of servers, from a single server to hundreds.


Faster data processing is made possible by the distributed file and powerful mapping offered by Hadoop.


Both your structured and unstructured data can be used to generate value by Hadoop. It can draw useful insights from sources such as social media, daily logs and emails.


The data stored by Hadoop is stored in replicate form across different servers in multiple locations, which increases reliability.

Advanced Data Analysis

When utilizing Hadoop, it becomes simple to store, manage and process large data sets, bringing effective data analysis in-house.

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frequently asked questions

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