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Big Data

Big Data

A set of data that are too large and complex to deal with by using traditional data processing software is called as big data. Structured Data, Unstructured Data, and Semi-Structured Data are three main types of big data.

Advantages of Big Data in the Hi-Tech Industry

  • Simplify procedures and operations in Hi-Tech industries
  • Big data is renewing the manufacturing ecosystem which in terms heavily improves each part of the product lifecycle.
  • Manufacturers in Hi-Tech industries can easily predict machine failures with the help of Big data and repair them. This reduces the downtime of Machines.
  • Enterprises can develop what-if scenarios and implement predictive models. With the help of factual data, they can make well-informed decisions.
  • Better cost management Improved customer service

Modernization

  • Cloud SaaS for migration
  • Legacy + Open source technology expertise

Platform Builds

  • Concept to reality
  • Architecture definition
  • Tools & technology evaluations
  • Design to sustenance lifecycle ownership
  • Post-production support

Tools and Technologies

  • Data collection and aggregation – Microsoft SQL server Integration services, Kafka, Alteryx
  • Data storage and processing – MongoDB, Hadoop, Elasticsearch, AWS Redshift
  • Data visualization – Tableau, PowerBI, Jaspersoft, Amazon Quicksight