Transform Enterprise Data & AI with Databricks
Unlock the power of unified data and analytics with Databricks, using real-time intelligence converging on a single lakehouse platform to accelerate innovation and maximize ROI.
OPERATIONALIZE
DATA & AI AT SCALE
10Pearls combines deep Databricks platform expertise with industry-leading data engineering practices to eliminate data silos and unlock actionable intelligence.
We architect lakehouse solutions that unify batch and streaming workloads, accelerate model development from experimentation to production, and scale AI capabilities across your organization, turning raw data into a competitive advantage through Delta Lake reliability, Unity Catalog governance, and enterprise-wide collaboration.
Why enterprises choose 10Pearls for Databricks implementation
Enterprise-scale data & AI transformation
We help global organizations modernize data platforms and operationalize analytics, machine learning, and AI on Databricks at enterprise scale.
End-to-end Databricks expertise
From data lakehouse architecture and governance to real-time analytics, ML, and GenAI, we deliver the full spectrum of Databricks services.
Databricks-native &
AI-ready
Our certified Databricks engineers design secure, scalable lakehouse solutions and production-ready AI systems built on the Databricks ecosystem.
Governance, security & compliance built in
We implement Unity Catalog–driven governance, access controls, and lineage to meet enterprise and regulated industry requirements.
Outcome-driven delivery
We focus on measurable business outcomes, faster insights, platform optimization, improved data quality, and accelerated AI adoption.
Human-centered data transformation
We align data and AI solutions with business teams to drive adoption, trust, and long-term value from your Databricks investment.
Build your data intelligence platform on Databricks
Unify analytics, democratize insights, and scale AI built for the modern enterprise.
Our Databricks services
Lakehouse strategy & roadmap
Assess current data architecture maturity, identify quick wins and long-term opportunities, and design phased migration roadmaps.
Platform implementation & setup
Deploy Databricks environments with workspace configuration, networking setup, identity federation, and security hardening.
Data migration & modernization
Migrate legacy data warehouses, Hadoop clusters, and on-premises systems to Databricks with automated schema conversion, ETL replication, and zero downtime.
AI/ML platform development
Build end-to-end machine learning platforms with feature stores, automated retraining, and production monitoring.
Real-time analytics solutions
Implement streaming architectures for fraud detection, IoT telemetry, log analytics, and operational dashboards.
BI integration & visualization
Connect Databricks to Power BI, Tableau, Looker, and Qlik with optimized query patterns, semantic layers, and dashboard design.
Data governance & security
Implement Unity Catalog with attribute-based access control, dynamic data masking, audit logging, and automated compliance reporting for GDPR, CCPA, HIPAA, and industry-specific regulations.
Managed services & platform support
Maintain operational excellence with 24/7 monitoring, incident response, performance tuning, version upgrades, and proactive optimization.
Training & enablement programs
Build internal capabilities with hands-on workshops, certification preparation, and best practices documentation.
How 10Pearls drives business impact with Databricks
Delta Lake architecture & optimization
Enable faster, more reliable analytics by structuring data into trusted layers that improve data quality, performance, and cost efficiency at scale.
Unity catalog governance implementation
Establish centralized governance that improves data security, compliance, and trust while simplifying access management across teams and clouds.
Mosaic AI & foundation models
Accelerate enterprise AI adoption by deploying secure, production-ready generative AI solutions that integrate seamlessly with your data and workflows.
MLflow & model registry
Reduce time-to-production for machine learning by standardizing experimentation, versioning, and deployment across teams.
Delta Live Tables (DLT)
Improve data reliability and pipeline resilience with automated quality checks and simplified data transformations that scale effortlessly.
Databricks SQL & warehousing
Deliver high-performance analytics to business users with fast, scalable SQL workloads that integrate easily with existing BI tools.
Structured streaming & real-time
Unlock real-time insights by processing continuous data streams with low latency and high reliability.
Multi-cloud & hybrid deployment
Maintain flexibility and resilience with cloud-agnostic architectures that support enterprise-scale deployments and disaster recovery.
Databricks workflows & orchestration
Increase operational reliability by automating and orchestrating complex data pipelines with minimal manual intervention.
Industries we support
FAQs about our Databricks services
What is Databricks and how does it benefit modern data-driven organizations?
Databricks is a unified analytics platform built on Apache Spark that combines data engineering, data science, and business intelligence in one collaborative workspace. It helps organizations process massive datasets faster, streamline workflows, reduce infrastructure complexity, and accelerate time-to-insight, enabling teams to make data-driven decisions with greater speed and accuracy.
What Databricks services do you provide (consulting, implementation, migration, and support)?
We offer end-to-end Databricks services including strategic consulting and architecture design, full-scale implementation and deployment, seamless migration from legacy systems, custom solution development, team training and enablement, and ongoing technical support to ensure your platform runs optimally.
Can you help migrate from legacy data platforms or data warehouses to Databricks?
Yes. We specialize in migrating from traditional data warehouses like Teradata, Oracle, SQL Server, and Hadoop ecosystems to Databricks. Our proven migration methodology ensures minimal disruption, maintains data integrity, and optimizes your new environment for performance and cost-efficiency from day one.
How does Databricks support data engineering, analytics, and BI use cases?
Databricks provides a unified platform for building robust ETL/ELT pipelines, managing data lakes and lakehouses, performing real-time streaming analytics, and powering BI dashboards. Its Delta Lake technology ensures data reliability while native integrations with tools like Power BI and Tableau enable seamless reporting and visualization.
Can Databricks be used for AI, machine learning, and advanced analytics?
Yes. Databricks is purpose-built for ML and AI with MLflow for experiment tracking and model management, AutoML capabilities for rapid model development, scalable infrastructure for training large models, and production-ready deployment pipelines. It supports the entire ML lifecycle from experimentation to production.
Do you offer ongoing Databricks managed services and cost optimization?
Yes. Our managed services include 24/7 platform monitoring, performance tuning, security management, regular optimization reviews, and proactive cost management. We continuously analyze your usage patterns and implement best practices to reduce compute costs while maintaining performance.
How do we get started with your Databricks consulting services?
Getting started is simple. Contact us to schedule a free consultation where we’ll discuss your data challenges, business objectives, and current infrastructure. We’ll then provide a tailored proposal outlining our recommended approach, timeline, and investment to help you achieve your goals with Databricks.
Modernize your data platform with Databricks
Break down silos, accelerate insights, and unlock AI innovation with unified lakehouse architecture designed for scale.