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Big Data & Analytics
The world is witnessing massive data generation every second due to proliferation of devices, emerging channels of data creation and consumption. Is this data useless or is it having hidden intelligence in it? Uncovering insights from this data requires effective aggregation, integration, validation and gleaning techniques. It extends beyond change of technology landscape to include analytical processes, methodologies and workflows aimed at generating the right insights that accelerate real time business value.
QuickScale uses cutting edge technology in Big data domain. We focus on the following activities and technologies -
- Integrating Hadoop with existing applications and systems
- Integrate predictive analytics into application & systems
- Building test to production feedback loops for continual improvement
- Developing code and transforming data
- Tuning and deploying Hadoop clusters
- Develop and measure effectiveness of predictive analytics models
Technology -
- Hadoop for Batch data processing and Storage
- Elasticsearch for Search
- Apache Storm for Real time data processing
- Redis for in memory, fast content serving