Big Data

Xebia has a dedicated team of 25 passionate data science and big data software engineering practitioners. We call this team "GoDataDriven". It’s a spin off from Xebia and is located in India and The Netherlands. By combining the disciplines of data science & software engineering practices with large-scale open source information platforms, our big data experts create data driven solutions that add to our clients' bottomline. Our big data services include:

  • Integrating Hadoop with existing systems
  • Integrating predictive analytics into production systems of engagement
  • Building test to production feedback loops for continual improvement
  • Developing code and transforming data
  • Tuning and deploying Hadoop clusters
  • Developing and measuring effectiveness of predictive analytics models

Big Data Solutions


Think of recommendation engines, suggested search, Big Data processing and analytics, near real-time event processing or interactive visualizations – we are a leading provider of high quality data driven solutions, focus on data driven aspects. Our data driven solutions span multiple disciplines. We combine required skills in multi-disciplined teams including analytics, software engineering, operations and product development. This results in end-to-end solutions that add to the bottom line. Some examples are:

  • Big Data warehousing
  • Scalable Big Data ETL
  • High Volume Web Analytics
  • Complex Event Processing and Analysis
  • Network Analysis Exploration

Tools for Big Data


Big data interacts with various tools and technologies that together extract values from data. At Xebia, we work on Qlikview, Tableau, HIVE, PIG and many other tools.

Xebia has an extensive experience with online retailers where we have introduced the best-in-breed open source technologies and used it to offer transparent, flexible, scalable, and inexpensive solutions to them. Recently, we have come up with ‘DIVOLTE’ – an open, data driven platform – that provides a seamless experience for your online business.