The AI-driven ETL pipeline dynamically adjusts data extraction, transformation, and loading processes, resulting in significant improvements in data integration performance.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

With a proven record of working in changing data processes, Katta's expertise in SSIS packages and ETL (Extract, Transform, Load) processes has resulted in efficiency gains across diverse industries.

Transforming ETL with AI-Powered Automation AI-driven ETL automation introduces significant efficiencies to the data pipeline, addressing critical pain points during cloud transitions.

Using data fabric architectures to solve a slew of an organization’s operational problems is a popular—and powerful—avenue to pursue. Though acknowledged as a formidable enabler of enterprise data ...