Aggregate Your Data
Data Pipelining Architecture
A robust data pipeline should be capable of dealing with structured, unstructured, and streaming data sources. Additionally, a well-built data pipeline should be capable of cleansing, standardizing, encrypting your data, and making it AI enabled. Intelliswift's technology expertise along with our Koios platform provides event-based, data-driven workflows that can help your organizations to prepare for downstream analytics.
Seamless, configurable data extraction, transformation & load
Intelliswift's technology expertise along with our Koios platform supports asynchronous, continuous, real-time, batch, or any such combination of data sources. Data from multiple sources (social media channels, emails, sensor(s), organizational documents, and so on) can be effortlessly ingested and transformed to create a unified data lake.
Key Features
Scalable and fault tolerant
infrastructure backbone,
managed via Kubernetes
containers, etc.
Batch-wise & streaming
computation processing
capability
Seamless integration with
data preparation and
predictive workbench
Run custom scripts, viz.
Python, SSH, etc.
Logging and
monitoring