Big Data Analysis

Modern applications generate terabytes of data, making its storage and analyses an integral part of a successful business.
Parsing data from disparate sources into a relational database:
  • standard open formats (csv, json)
  • protocols developed for your solutions
  • feature extraction from semi-structured data
  • standard metrics (DAU, LTV, etc.)
  • scheduled analytical reports
  • critical changes to select metrics
Cloud Services
  • AWS (Amazon Web Services )
  • Microsoft Azure
  • Google Cloud
  • Relational database (Mysql, MS Sql)
  • NoSQL (MongoDB)
  • Object–relational DB (PostgreSQL)