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Discover Expert Insights, Innovations, and Best Practices in Generative AI and Cloud-Native Development.

Databricks

Databricks Integration

Building and maintaining ETL/ELT pipelines manually is time-consuming, error-prone, and costly. Purgo AI transforms this process by automating each step—from business requirement gathering in Jira to production-ready deployment—ensuring faster implementation, and reduced engineering workload. Below is an overview of how Purgo AI streamlines data pipeline…

    • By Sang Kim

    • April 11, 2025

Data Engineering

Purgo AI: On-demand Data Engineering for Business Users

In our previous blog, we had described the ongoing paradigm shift in enterprise business applications from being rules-based workflows to becoming data consumption driven. Enterprises are striving to build data consumption efficiency in business operations as a competitive differentiation in the market. Modern cloud data…

    • By Sang Kim and Kamesh Raghavendra

    • March 7, 2025

Data Engineering

Business-driven Data Engineering

Shift from Workflow-based to Data Consumption-based Business The past 3-5yrs have seen a rapid adoption of data-driven decision making in the enterprise at unprecedented operational levels of the business. What used to be merely business intelligence for strategic decision making (e.g. formulating enterprise-wide annual operating…

    • By Sang Kim and Kamesh Raghavendra

    • March 7, 2025