Big Data

Due to the past experience of the Promoter, Plutus Technologies is the top-notched Big Data Service provider company in India.

Big data is a catch phrase used for describing huge data volume for both unstructured and structured data. The volume of data sometimes becomes so huge, that it is not possible to manage them, using the traditional software and database techniques. At Plutus Technologies, we can ensure proper management of Big Data and also take care of the data processingusing some of the latest technologies like Hadoop with Hbase, Hadapt, Hlive and NosqlDbs.

Our Offering

We offer Big Data analysis to our valuable clients who want to manage their huge data system. Our Big Data solutions include the following:

  • We use the latest technologies like Hadoop with Hbase, Hadapt, Hlive to make the data processing faster and accurate.
  • For document oriented data base, Mongo DB, is employed by our analysts as it is easy to use and does not involve complex joints.
  • We prefer to use MongoDb as it can easily manage the processing of huge data. Its recovery procedure is also very simple and quick.
  • Plutus Technologies has also developed an expert team, well-versed with the latest technologies like Splunk to meet the newly immerging demands of Big Data analysis.
  • Our experts analyze both the existing and new data base of our clients and come up with best customized solution.
  • With the help of Hadoop our analysts accelerate the data processing and searching time. As a result the user enjoys a unique and easy searching experience.

Our unique data processing technique is able to analyse all the information from social media platforms like Facebook and Twitter.

Services

  • Big Data Consulting
  • Big Data Implementation
  • Big Data Integration
  • Big Data Optimization
  • Custom Mongo DB Solutions
  • Custom Hadoop Solutions
  • Architectural Strategy & Designing
  • Business Analytics & Intelligence
  • Data Mining & Data Aggregation
  • Data Migration & Maintenance

Technology Stack

  • Hadoop, Cloudera, Hortonwokrs, MapR, Shark/Spark
  • NoSQL Databases: Cassandra, Mongo DB