Nov 25, 20253 min read
2:46 min

Modern enterprises face increasing pressure to simplify their data ecosystems, improve governance, and unlock the value trapped in legacy ETL and EDW platforms. As organizations shift toward cloud-native architectures, the Databricks Data Intelligence Platform has become a strategic destination for building unified, governed, AI-ready data foundations.

At Zensar (www.zensar.com), we support this transformation through ZenseAI.Data, our next-generation accelerator built to streamline and automate migrations from legacy systems to Databricks. Running natively on the Databricks platform, ZenseAI.Data automates metadata harvesting, code translation, pipeline generation, and validation across ETL/EDW such as SAS, SSIS, Informatica, Netezza, Oracle, DataStage, IBM Cognos, Greenplum, Talend, Cloudera, Hadoop, AbInitio, and SAP BODS — reducing modernization timelines by 30 – 40%.

De-risking modernization with automation and intelligence

ZenseAI.Data provides a structured, transparent, and automated migration framework that de-risks decision-making for customers at every stage. Automated lineage mapping, code assessments, and validation routines ensure migrations are predictable, repeatable, and compliant. This represents a major shift from manual, error-prone modernization approaches.

A unified, governed, future-ready platform

By standardizing data ingestion, transformation, cataloging, and governance on Databricks, ZenseAI.Data enables organizations to consolidate their data into a single source of truth. This unified platform supports business-wide data consistency, regulatory compliance, and secure access patterns — while making it easier to adopt AI responsibly and at scale.

Unlocking business value and industry outcomes

The accelerator includes pre-built Lakeflow pipelines, KPI models, and domain-specific templates for retail, insurance, supply chain, and HR. These assets help customers move beyond migration and directly into business outcome realization.

With a governed, integrated data foundation in place, organizations can:

  • Monetize data through productized insights and advanced analytics

  • Enable real-time decision support across business units

  • Power verticalized Gen AI patterns using Databricks AgentBricks

  • Build multi-agent workflows that drive automation and innovation

This approach ensures that desired business outcomes — by industry and function — sit at the center of the modernization journey, not as an afterthought.

Building the platform for next-generation agentic AI

A modern Lakehouse is no longer just a data foundation — it is the runway for agentic AI. ZenseAI.Data prepares enterprises for this future by ensuring their data is clean, governed, connected, and ready for intelligent automation. With Databricks’ Data Intelligence Platform and AgentBricks, organizations can deploy multi-agent systems that deliver personalized recommendations, operational automation, and predictive insights at scale.

ZenseAI.Data + Databricks is more than a migration accelerator — it is the blueprint for building a future-ready enterprise where data and AI power every decision, workflow, and outcome.

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