Data Pipeline Baneer

Aggregate Your Data
Through Scalable And
Secure Processes

Data Pipelining

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

Key Features

Scalable and fault tolerant
infrastructure backbone,
managed via Kubernetes
containers, etc.

Key Features

Batch-wise & streaming
computation processing
capability

Key Features

Seamless integration with
data preparation and
predictive workbench

Key Features

Run custom scripts, viz.
Python, SSH, etc.

Key Features

Logging and
monitoring