Discovery, planning, and migration with Databricks
Infogain’s Databricks powered, AI-driven engineering accelerates your move to modern, scalable solutions, leveraging real-time and batch processing across diverse data types. Gen AI-powered governance also ensures unified cataloging, quality management, and compliance.
Our Offerings
GenAI enabled
multi-agent service
framework for
data engineering
Accelerate your data journey with automated code generation, built-in quality rules, and intelligent data discovery. Streamline curation and ensure trusted, high-quality insights—faster and at scale.
Metadata-Driven
Ingestion
Framework
Accelerate secure, high-quality data onboarding with metadata-driven ingestion and CDC. Built-in error handling, auditing, and anonymization ensure trusted, compliant, and scalable operations.
Data Strategy
Assessment
Framework
Empower your organization with a guided framework to define a clear, outcome-driven data strategy. Align business goals with data and AI potential for measurable impact and long-term success.
Our Story
Our client, a large insurance company wanted, to migrate legacy reporting applications from an existing database and decommission them. See how we helped them by migrating the SAS code to Databricks Notebooks using Scala or PySpark. Azure Data Factory (ADF) pipelines were configured to run Databricks notebooks, passing the necessary input and output parameters.
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