DATABRICKS

Unlock the True Power of Your Data with Eucloid & Databricks

Eucloid, a trusted Databricks Premier Partner, helps enterprises experience their data’s full potential—streamlining migrations, simplifying governance, and building AI-ready pipelines and accelerate your business growth.

Databricks data platform showing migration, data unification, and AI-ready pipelines
SELF-ASSESSMENT

How ready is your enterprise for AI, analytics, and insights?

Take a quick assessment to understand your current data maturity and evaluate your readiness for advanced analytics, AI, and scalable data architecture on Databricks.

OUR SOLUTIONS

Powered by Databricks. Delivered by Eucloid.

Eucloid brings deep expertise across data engineering, analytics, data science, GenAI, and machine learning to help enterprises fully leverage the Databricks platform.

Custom platform migrations to Databricks

  • Comprehensive and end-to-end migrations from AWS, GCP, Snowflake and other platforms
  • Seamlessly integrate diverse data sources to build an organisation wide & common data model
  • Design and implement efficient ETL processes to ensure clean, reliable data

Generative AI & LLM Deployment

  • Quickly create advanced generative models with Databricks’ AI capabilities and introduce Gen AI features in your technology stack
  • Leverage LLM features, trained on your own data. Fine-tune LLMs for specific data sets and domains.
  • Utilize RAG technique for developing chat interfaces with custom data
Generative AI & LLM Deployment

Centralized Governance & Security using Unity Catalog

  • Centralize & strengthen data security & governance. Make it unified, and open
  • Build granular level governance on different schemas, tables, dashboards and AI assets – all using a single framework
  • Monitor, diagnose and optimize data spends and security with AI enforced auditing, and lineage
Centralized Governance & Security using Unity Catalog

Machine Learning & Advanced analytics

  • Utilize Databricks’ MLflow and other machine learning tools to build predictive and prescriptive models
  • Convert unstructured data into structured output
  • Ensure real-time data processing capabilities to meet the demands of dynamic business environments
OUR APPROACH

Our Strategic Framework to Data & AI Modernization

SUCCESS STORIES

Building Enterprise Platforms

Databricks implementation for a large Insurance player

A large Insurance player wanted to implement Databricks platform to improve their data analytics capabilities, but they faced multiple challenges such as setting up the infrastructure, creating efficient data pipelines, ensuring data quality, building a semantic layer and enabling internal and external data sharing.

We proposed an end-to-end implementation of Databricks platform, divided into different work streams. Our approach involved:

  • Deployed DataPlane on AWS and established connection with control plane through private link
  • Set up governance and security for Metastore and data assets across workspaces
  • Enriched commercial insurance demographic data elements using Ennabl
  • Ingested real-time data from MSSQL using CDC Fivetran
  • Built dynamic workflows with built-in data quality expectations for different entities
  • Created an abstraction layer for commercial insurance with business logic and data models, and applied user and data access controls
  • Enabled data sharing with external teams and subsidiaries of BRP, and across internal teams
  • Deployed DLT and Databricks workflows using GitAction and asset bundles, and created deployment workflows for different environments
  • Built the Databricks infrastructure as code using terraform
  • Used SCIM to automatically sync users and groups from Azure AD to Databricks Account
Our approach helped the client successfully implement Databricks platform and overcome their challenges. Our client now has an efficient infrastructure set up, data pipelines for real-time data ingestion, data quality checks, and a semantic layer for better data analysis.
Databricks implementation for a large Insurance player

Optimizing Cashflow and Driving Growth for a European Bank on Databricks

A leading European bank with over 7 Million customers and 150+ branches had recently migrated to Databricks and was facing challenges in improving their cashflow and driving growth.
We adopted a data-driven approach to address the bank’s challenges. Leveraging Databricks, we analyzed large amounts of data, including macro and seasonal factors, local factors, historical fulfilment and ATM transaction data, as well as ATM attributes and local holiday & seasons. A 360-degree view of customer data, such as their industry, turnover, existing products, transaction history, and product propensity, was also taken into consideration using lookalike modeling.
The bank was able to optimize their ATM cash forecasting and make better product recommendations for corporate customers, including salary products, investment products, loan products, and insurance products. This improved their cashflow and also led to substantial growth for the bank.
Optimizing Cashflow and Driving Growth for a European Bank on Databricks

Migration from GCP to Databricks for Data Analysis and Reporting

Our client was facing the challenge of managing approx. 2500 models for data analysis and reporting using GCP tool. This was not only a resource-intensive task but also led to higher costs. The client wished to migrate to Databricks for better cost optimization and performance enhancement.
We undertook the successful migration of all 2500 models from GCP supported queries to Databricks supported queries. The team also performed data output accuracy comparison to ensure correctness. To further improve performance, we worked on query optimization and implemented Databricks fine tuning methods.
The migration to Databricks platform yielded significant results for our client. There was an overall performance improvement of 20% for the models. Additionally, the client achieved cost savings of approximately 30% after the migration.
Migration from GCP to Databricks for Data Analysis and Reporting
CUSTOMER VOICES

What Our Clients Say

Eucloid Data Solutions helped us get better insights into customer engagement and journeys on our digital properties. Eucloid then used these insights to make specific recommendations to improve the CX and underlying business metrics such as conversion. Through their work, we were able to generate 20% incremental revenue growth over the course of one year. Thanks for all the support, Team Eucloid!

– Director, Tech Giant (USA)

I engaged Eucloid to design and develop underlying data infrastructure for event-tracking solutions in my organization. It was a very complex problem dealing with a huge amount of data. But Eucloid’s Data engineering team was able to provide an automated and highly scalable solution which worked very well for me. The depth of expertise of Eucloid team really impressed me.

– Senior Manager, D2C Unicorn (USA)

The Data Engineering teams at Eucloid worked on onboarding new clients on our data platform. The Eucloid team was very quick to get a grasp of the technical aspects of our platform and showed a great level of commitment to meeting clients’ demands.

– Chief Business Officer, Leading ETL SaaS Vendor (USA)

The advice and roadmap provided by Eucloid were very helpful in developing dashboards to integrate demand forecasting with supply chain and logistics. The team was very quick to understand our business requirements and provided contextual solutions.

– Senior Data Project Manager, Automotive Giant (Sweden)

Eucloid Data Solutions helped us get better insights into customer engagement and journeys on our digital properties. Eucloid then used these insights to make specific recommendations to improve the CX and underlying business metrics such as conversion. Through their work, we were able to generate 20% incremental revenue growth over the course of one year. Thanks for all the support, Team Eucloid!

– Director, Tech Giant (USA)

I engaged Eucloid to design and develop underlying data infrastructure for event-tracking solutions in my organization. It was a very complex problem dealing with a huge amount of data. But Eucloid’s Data engineering team was able to provide an automated and highly scalable solution which worked very well for me. The depth of expertise of Eucloid team really impressed me.

– Senior Manager, D2C Unicorn (USA)

The Data Engineering teams at Eucloid worked on onboarding new clients on our data platform. The Eucloid team was very quick to get a grasp of the technical aspects of our platform and showed a great level of commitment to meeting clients’ demands.

– Chief Business Officer, Leading ETL SaaS Vendor (USA)

The advice and roadmap provided by Eucloid were very helpful in developing dashboards to integrate demand forecasting with supply chain and logistics. The team was very quick to understand our business requirements and provided contextual solutions.

– Senior Data Project Manager, Automotive Giant (Sweden)

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Go further with your data than ever before

Experience how AI and analytics can support meaningful business outcomes

Talk to a Data & AI Expert

Eucloid supports end-to-end Databricks initiatives—from platform migration and architecture design to data pipeline development, governance implementation, and deployment of advanced analytics, machine learning, and GenAI solutions.

Yes. Our teams help organizations migrate from platforms such as AWS, GCP, Snowflake, and legacy warehouses while optimizing pipelines, models, and performance on Databricks.

We use Unity Catalog to establish centralized governance across data assets, dashboards, and AI models with access control, lineage tracking, and auditing.

Yes. We build and deploy ML models using Databricks tools like MLflow and help organizations develop GenAI and LLM-based applications on their data.

Timelines vary by project scope, but most migrations and foundational implementations take 8–16 weeks.

Yes. Databricks integrates with CRM systems, cloud storage, BI tools, and enterprise platforms. Eucloid helps design the integration architecture.