Modernize, Scale, and Innovate with Trigent and Databricks

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Your Partner for Unified Data, Analytics, and AI Solutions on the Lakehouse Platform

As an official Databricks C&SI Partner, Trigent empowers mid-to-large enterprises to transition from legacy systems to intelligent, AI-driven data platforms. From modernizing traditional warehouses to deploying production-grade machine learning models, we bring certified expertise, industry alignment, and a strong delivery track record of over 30+ years.

Whether you’re migrating from on-prem systems like From Hadoop, legacy DW (Teradata, Oracle, SAP BW, SQL server, etc.) and ETL (Informatica, DataStage, etc.) or looking to consolidate your cloud data investments, Trigent ensures faster outcomes and smarter decision-making.

Access the latest Databricks + Trigent thought leadership

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State of Data + AI

Data intelligence and the race to customize LLMs

Discover why GenAI adoption is accelerating, with 11x model growth and rising traction in regulated industries.

Modernize, Scale, and Innovate with Trigent and Databricks​

The Big Book of Generative AI

Build production-quality GenAI applications

Learn how to build, fine-tune, and operationalize RAG and foundation models with best practices that work.

Modernize, Scale, and Innovate with Trigent and Databricks​

Big Book of Data Engineering​

Fast-track expertise with this essential guide for the AI era

Get actionable tips to supercharge your data pipelines with AI tools, governance, and real-world industry examples.

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Ready to Modernize Your Data Platform?​

Discover Your Migration Readiness in Just 10 Days

Explore our Migration Playbook for a step-by-step guide to evaluate, plan, and execute your journey to an AI-ready future.

Key Solutions Powered by Trigent on the Databricks Platform

Modern Data Warehousing

  • Workshop-driven approach to assess readiness and define modernization paths.
  • Design and build end-to-end pipelines: ingestion, ETL, presentation, and governance.
  • Leverage Databricks Lakehouse to unify structured, semi-structured, and unstructured data.

Databricks Migration Services

  • Use proven architectural patterns and building blocks for seamless application migration.
  • Conduct ecosystem mapping and readiness assessments.
  • Apply migration best practices to reduce risk and maximize ROI.

AI & Machine Learning on Databricks

  • Utilize Databricks Runtime for Machine Learning for scalable model training.
  • Operationalize ML models with MLflow, integrated tracking, and model registry.
  • Enable advanced use cases with deep learning support, feature engineering, and automated data preparation.

Databricks Quality Measurement

  • Implement data quality rules engines using Delta Live Tables (DLT).
  • Set up governance frameworks for data freshness, accuracy, and lineage tracking.
  • Ensure continuous data quality monitoring across batch and streaming workloads.

Databricks DataOps

  • Automate CI/CD for infrastructure and cloud service provisioning.
  • Integrate third-party tools for security, access control, and monitoring.
  • Deliver real-time visibility through cost monitoring dashboards and pipeline observability.

Unity Catalog Implementation

  • Establish a robust metadata management layer using Unity Catalog.
  • Deploy enterprise-wide features like row-level security, column masking, and query federation.
  • Manage multi-environment workspace deployments with shared data governance and collaboration

Databricks MVP

  • Quickly validate use cases—greenfield or migration—with performance-focused MVPs.
  • Deliver tangible results in 6–8 weeks, enabling faster decision-making and investment planning.

Not sure where to begin with Databricks?
Book a free modernization and migration readiness session with our certified consultants.

Databricks Data Intelligence Platform

Unlock Data+AI Democratisation across your organisation with a trusted partner

The Databricks Data Intelligence Platform is built to unify data engineering, data science, data warehousing, and AI under a single, scalable architecture.

The Databricks Lakehouse approach combines the best of data lakes and data warehouses, enabling your business to break down data silos, accelerate analytics, and drive AI-powered insights seamlessly.

However, achieving peak performance with Databricks requires expert configuration, seamless integration, and optimized workflows. That’s where we come in.

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Our Databricks Success Stories

Why Trigent’s Global Databricks Practice?

Certified. Scalable. Customer-Focused. Always Ahead.
Certified Expertise

A global talent pool of Databricks-certified professionals with specialized skills in Delta Lake, MLflow, Unity Catalog, and scalable data engineering. Proven experience delivering high-performance data and AI solutions across industries.

Flexible Team Augmentation

Quick access to scalable, certified teams ready to accelerate your Databricks projects.

Customer-Centric Focus

Collaborative delivery tailored to your goals with proactive, use case-driven support.

Commitment to Excellence

Continuously evolving capabilities to deliver high-quality, future-ready solutions.