Big Data
Customized Hadoop framework implementation and workflow optimization, continuous support to platform consumers
Customized Hadoop framework implementation and workflow optimization, continuous support to platform consumers
Business workload characterization and forecasting considering the scale of business needs along with resiliency and HA. Capacity planning including both on-prem and cloud
Data migration from RDBMS to Hadoop with best practices like: built-in data-type conversions, transformers, look-up matching, aggregations, Robust metadata, data lineage, and data modeling capabilities. This can be achieved at cheaper storage cost if in case of data archival / cold data.
Data lake solutions combine cost-effective, enterprise-grade open source technology with real-time analytic capabilities by accepting the data in its native format from a variety of data sources
To manage volume, variety, and velocity of data, our experienced data engineering teams build Data Pipelines that have integrated quality checks to process stream (real-time) or batch (historical) data.
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