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AI-Powered Migration Accelerators

Fast-track your move to GCP and Databricks with intelligent automation, agentic transformation, and industry-ready migration blueprints.
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Overview

Our Migration Accelerators combine AI agents, unified pipeline models, and domain-aware automation to streamline and accelerate enterprise data platform migrations to GCP and Databricks. They simplify complex modernization programs by reducing manual engineering effort and unifying migration workflows.

They assess legacy environments such as Azure + Databricks, CDP, Talend, Informatica, Pentaho, and on-prem systems while auto-discovering pipelines, schemas, lineage, and workloads. LLM-powered agents translate legacy ETL into native GCP Dataflow or Databricks formats with high accuracy.

These accelerators also generate future-state architecture blueprints tailored to each cloud and domain, supported by full-stack visibility through cost dashboards and ROI models. They further enable rapid streaming adoption with pre-built, real-time architecture patterns.

What Does This Do Better Than Others?

Most migration tools focus on code translation alone and still require extensive manual engineering. We deliver an AI-native, end-to-end migration accelerator designed for modern cloud and lakehouse platforms. This accelerator:

Agentic Discovery + Automated Transformation

Agentic Discovery + Automated Transformation

Uses embedded AI agents to auto-discover pipelines, map lineage, and translate legacy ETL end-to-end, powered by a Unified Pipeline Information Model (UPIM) that eliminates manual reengineering.

Cloud-Optimized Modernization (GCP + Databricks):

Cloud-Optimized Modernization (GCP + Databricks):

Generates production-ready GCP Dataflow pipelines using Gemini-powered transformation, while creating Databricks-native PySpark, Delta Live Tables, and Unity Catalog workflows automatically.

Streaming-Ready Architecture Acceleration

Streaming-Ready Architecture Acceleration

Delivers ready-to-deploy structured streaming blueprints with built-in governance, enabling rapid adoption of real-time data processing patterns across the enterprise.


Cost + Governance Intelligence

Cost + Governance Intelligence

Provides real-time Databricks cost visibility, anomaly alerts, integrated observability, data quality checks, compliance controls, and CI/CD-ready deployment pipelines for enterprise-grade reliability.

How It Works

IDA operates as an intelligent, modular pipeline built on Google Cloud’s native services:

AI-Powered Migration Accelerators-how-it-works
Tech Stack

• GCP: Dataflow, BigQuery, Vertex AI, Cloud Composer

• Databricks: Delta Lake, Unity Catalog, DLT, Auto Loader

• AI/LLM Layer: Gemini LLM, Agentic Code Transformation

• Governance: DQ checks, observability, lineage tracking

• Integration: CI/CD hooks, YAML-based config deployment

Use Cases

These accelerators apply across modernization and cloud-first transformation programs such as:

Cloud & Platform Modernization

Cloud & Platform Modernization

Accelerates migrations from ADF, Informatica, Talend, Pentaho, Azure, CDP, and on-prem systems into GCP Dataflow and Databricks Lakehouse with standardized, automated transformation.

Real-Time & Advanced Streaming Adoption

Real-Time & Advanced Streaming Adoption

Enables high-performance streaming architectures for IoT, clickstream, log analytics, fraud detection, and other low-latency workloads.

Multi-Cloud Transformation

Multi-Cloud Transformation

Supports modernization across AWS, Azure, and GCP estates while delivering unified pipeline models, optimized architectures, and consistent governance.

Industry-Specific Modernization

Industry-Specific Modernization

Addresses BFSI, healthcare, manufacturing, and telecom needs through domain-aware templates and accelerators tailored to regulatory and operational requirements.

If your business is moving to the cloud or modernizing its data estate, this accelerator delivers faster, cleaner, and more reliable migration outcomes at scale.

Business Benefits of Using This

  • Accelerate time-to-value

    Accelerate time-to-value

    Reduce migration time by up to 60%.

  • reduced-cost

    Immediate cost impact

    Save 15–30% on Databricks spend with cost controls.

  • De-risk modernization

    De-risk modernization

    Automated code translation, best-practice validation, and governance minimize errors.

  • model-accuracy

    Future-proof architecture

    Move to GCP-native and Databricks-native models aligned to modern AI/ML needs.

  • Significant-Risk-Reduction

    Lower migration cost

    Reduce engineering cycles by 70% using automation and ready blueprints.

Experience automated migration in action.

See how our AI-powered accelerators reduce months of effort into days.

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Insights

Frequently Asked Questions

What platforms can I migrate from?

 Azure, Azure Data Factory, CDP, Informatica, Talend, Pentaho, on-prem data warehouses, and legacy ETL tools. 

Can this handle large, complex enterprise estates?

 Yes. The discovery and UPIM layers are built specifically for multi-thousand-pipeline migrations. 

How accurate is the AI-based code translation?

 Code is validated by LLM Review Agents and human-in-the-loop workflows, ensuring production-ready output. 

Is this only for GCP and Databricks?

 The accelerators primarily target GCP and Databricks but support multi-cloud environments. 

Does it support streaming workloads?

 Yes. Streaming Blueprints Hub provides pre-built architectures for real-time ingestion and processing. 

How fast can a migration be completed?

Typical timelines reduce by 50–60% compared to manual migrations.

Is governance included?

 Yes. Data quality checks, lineage, observability, and compliance controls are built into the framework.