Tech mahindra
Tech mahindra

Warehouse Rationalization to Hadoop

As the volume, velocity and variety of data stretches the processing capabilities of traditional Data Warehousing (DWH) systems, time required for generation of complex reports grow exponentially. Big Data paradigm, leveraging the power of distributed computing offers help in making critical reports available in a timely manner.

  • Slower turn-around-time (TAT), latency in report generation becomes exponentially higher as the data volume and variety grows.
  • Merging structured and unstructured data is time and cost intensive in traditional DWH.
  • Intelligence derivation from large and heterogeneous archives is outside the ROI of a traditional DWH.
  • Complex visualization and Advanced statistical analytics (predictive/ descriptive) are not quite comfortably achieved through the traditional DWH systems.
  • Hadoop-based Big-Data framework – out-of-the-box implementation using TAP components
  • Quasi-real-time processing and reporting using Distributed computing mechanism
  • Reports can be generated for high-velocity data such as network logs
  • Provide analytics over structured and unstructured data streams and archives
  • NLP-based reporting such as sentiment analysis, measuring buzz, social media comments posted etc. thereby increasing marketing effectiveness
  • Elicitation of sector-specific trends, customer preferences & competitor actions
  • Predictive reporting and next-gen visualization using tools such as Pentaho, Tableau
  • TechM Analytics Platform (TAP)
  • Faster reporting capabilities are achieved from high-volume and high-velocity data
  • The report generation time doesn’t grow exponentially with increased data volume. In fact, the scalability of TAP architecture ensures plug-n-play type utilization of distributed processing nodes to ensure timely generation of critical reports.
  • Processing loads of existing DWH is lightened and can now be better utilized for data-mining and batch-job needs.
  • Cost effectiveness of Report generation vis-à-vis the same in existing DWH
  • Improvement in DWH Processing cycles due to off-loading of complex reporting

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For further information please write to connect@techmahindra.com

For further information please write to connect@techmahindra.com