Data Integration Pipeline
Combine data from various internal and external data sources to enable downstream Dashboards/Reports, Business Intelligence, and Machine Learning/AI. We help build scalable – for petabytes of data and extensible – supporting hundreds of data sources – ETL/ELT data pipeline.
Data Pipeline: Orchestration and Choreography
Manage the data pipeline states and steps through Orchestration Engines, Schedulers, Choreography, and Orchestration/Choreography Hybrid Architecture.
Data Validation, Transformation and Mastering
Build effective Data Validation, Data Transformation, and Data Mastering logic for preparation of data to power Business Intelligence and Machine Learning/AI use-cases.
Data Ops
Make analytics infrastructure agile and reliable: Build analytics infrastructure which responds to the changing business needs and achieves high reliability through monitoring, observation, lineage/governance, remediation, and collaboration.
Stream and Complex Event Processing (CEP)
Integrate stream – audio/video data and event data – such as HL7 events, IoT events – and perform windowing, transforms and aggregations.
Blog
Analytics, Machine Learning and AI has not been restricted to large enterprises anymore; it has been widely adopted to varying degree and success by the small and medium enterprises as…
Here are some tips to improve your ETL performance: 1.Try to drop unwanted data as early as possible in your ETL pipeline We used to store raw data in s3…