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Azure Databricks Consulting Services

Accelerate Your Data & AI Transformation with Expert Databricks Consulting

Modern organisations need fast, reliable, and scalable data solutions to stay competitive. Our Azure Databricks professional services help you unlock the full potential of the Databricks Data Intelligence Platform, enabling you to unify data, analytics, and AI on a single, powerful foundation.

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Whether you’re just starting out or scaling complex machine learning workloads, our Databricks consulting team delivers end-to-end support, from strategy, implementation, optimisation, to ongoing enablement.

Data Engineering with Databricks

What is Microsoft Azure Databricks?

Azure Databricks is a comprehensive, open analytics platform designed for creating, deploying, sharing, and managing enterprise-level data, analytics, and AI solutions at scale.

 

The Databricks Data Intelligence Platform seamlessly integrates with your cloud account's storage and security, handling the management and deployment of cloud infrastructure efficiently

Why Choose PleoData Databricks Consulting Services

Certified Databricks Expert

Our consultants hold advanced Databricks, Azure, and AI engineering certifications. We bring deep experience across industries to design and deploy platforms that transform data into business value.

End-to-End Delivery

From architecture to automation, machine learning to governance, we provide full lifecycle consulting tailored to your organisation’s goals.

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Tailored for Adoption

We help you adopt the Databricks unified platform for AI, ensuring your teams can collaborate seamlessly across data engineering, BI, and generative AI workloads

Pre-Built Intranets

for Small Medium

Companies

End-to-End Microsoft Azure Databricks Implementation

PleoData provides a full Microsoft Azure Databricks implementation. We support businesses from setup to production, covering the entire lifecycle.

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1. Databricks Strategy & Platform Architecture

Lay the right foundation with a secure, scalable architecture.
Services include:

  • Data & AI strategy definition

  • Lakehouse and Delta Lake design

  • Identity, security, and governance frameworks

  • TCO, cost modelling, and optimisation planning

 

2. Data Engineering & Lakehouse Implementation

Build reliable data pipelines using Azure Databricks best practices.
We deliver:

  • Batch & streaming ingestion

  • ETL/ELT pipeline development

  • Delta Live Tables implementation

  • Data quality, observability, and testing frameworks

 

3. Machine Learning & Generative AI

Accelerate AI innovation using a unified platform for AI and the latest Databricks capabilities.
Our specialists support:

  • Feature engineering and ML model development

  • MLflow and model lifecycle management

  • LLM fine-tuning and RAG solutions

  • AI governance, monitoring, and responsible AI frameworks

 

4. BI, Analytics & Dashboard Modernisation with Microsoft Fabric

Empower decision-makers with fast, accurate insights.
We help you:

  • Build semantic layers with Databricks

  • Integrate Power BI, Microsoft Fabric

  • Implement real-time analytics

  • Create self-service data experiences

 

5. Migration to Databricks

Move from legacy platforms — On-Premise data warehouses — to the Databricks Lakehouse.
Our migration services include:

  • Assessment and migration roadmap

  • Code conversion & pipeline re-engineering

  • Data validation and reconciliation

  • Risk-free cutover and production hardening

 

6. Managed Databricks Operations & Enablement

Keep your environment optimised and your team empowered.
We offer:

  • Proactive platform monitoring

  • Cost optimisation and resource governance

  • Best-practice workshops and team training

  • Managed Services

Databricks Engineer Working Working

Microsoft Fabric and Azure Databricks - A Powerful Combination

A backbone for modern data ecosystems — raw power on one side, business clarity on the other.

Enterprise-Wide Analytics with Governed Shared Data

Databricks’ Lakehouse feeds Fabric’s OneLake, ensuring every team works from a single, secure, consistent source of truth for reporting, AI, and decision-making.

Data Engineering and BI under One Platform

Databricks handles large-scale ingestion, transformation, and ML workloads, while Fabric simplifies visualization, semantic modeling, and business-ready datasets.

Accelerated AI and Predictive Insights

Use Databricks for advanced machine learning and Fabric’s Copilot and Power BI to operationalize AI outputs instantly across the business.

Cost Optimisation through Unified Storage and Computer Choices

Organizations leverage Databricks for heavy data processing while Fabric delivers cost-efficient analytics and self-service intelligence at scale.

Transform Your Data Strategy with PleoData

PleoData Analytics Solution unlocks a unified, AI-powered analytics environment — but the value comes from how it’s consolidated from your varied data sources. PleoData ensures every deployment is designed with your industry in mind.

Enterprise Data Sources into a Single Source of Truth

Consolidate data from multiple sources into a single, governed environment.

Data into Decisions
AI-Driven Insights

AI-driven insights are embedded, so leaders and operational managers respond in real time, not after the fact.

Deep Vertical Knowledge

From data centres to manufacturing, our consultants understand your operational challenges and compliance needs.

Whether you are modernizing legacy systems or scaling advanced analytics, discover how PleoData’s Data Analytics consulting services ensure your business is ready for the future.

Why Enterprises Are Moving to Azure Databricks

Enterprises are moving to Azure Databricks because it solves pain points that traditional data warehouses, BI tools, or siloed data platforms can’t handle. Here are the main reasons:

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1. Unified Lakehouse Architecture

  • Combines data lakes (cost effective, scalable storage for raw/semi-structured data) with data warehouse features (ACID transactions, governance, performance)

  • Reduces data silos and avoids duplicating data between systems

  • Powered by Delta Lake, which adds reliability and performance to lake-based architecture

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2. Advanced AI & Machine Learning Capabilities

  • Native support for MLflow (experiment tracking, model registry, deployment)

  • Optimized for LLMs, RAG pipelines, and generative AI

  • Enterprises use it to build AI-powered products, predictive models, and automation pipelines

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3. Scalability & Performance

  • Runs on Apache Spark (massively parallel processing)

  • Auto-scaling clusters handle petabyte-scale workloads efficiently

  • Photon engine boosts query performance for analytics use cases

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4. Multi-Format & Streaming Data Support

  • Handles structured, semi-structured, unstructured, and real-time streaming data in one platform

  • Integrates seamlessly with Kafka, Event Hubs, IoT, S3, ADLS Gen2 and Cosmos DB

  • Perfect for industries with real-time decision-making needs (finance, telco, manufacturing)

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5. Enterprise-Grade Governance & Security

  • Unity Catalog provides fine-grained access controls, lineage, and cross-cloud governance

  • Built-in compliance for HIPAA, SOC 2, GDPR, ISO — crucial for regulated industries

  • Integrates with Azure Active Directory (Entra ID) for identity and RBAC

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6. Multi-Cloud & Future-Proof

  • Databricks is multi-cloud (Azure, AWS, GCP).

  • Enterprises avoid vendor lock-in and can run workloads where needed.

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7. Strategic Alignment with AI Roadmaps

  • Microsoft and Databricks have a deep partnership (e.g., Azure OpenAI + Databricks integration)

  • Many enterprises see Azure Databricks as the foundation for their AI strategy, not just BI

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