Accelerate and drive innovation along your Databricks journey with certified experts, proven accelerators, and enterprise experience.
We help enterprises operationalize Databricks AI — from lakehouse migration to governed RAG, LLM ops, and model serving — using certified local experts and accelerators like AutoDQ and Lakebridge.
Turn your enterprise data into intelligent, governed, and actionable AI
Databricks' Data Intelligence Platform brings data, analytics, and AI together on a single, unified foundation. With Mosaic AI, organizations can now build, tune, and serve private large language models (LLMs) — securely, using their own data.
At KData, we help teams operationalize Generative AI on Databricks — from strategy to production — using proven frameworks, certified expertise, and accelerators like AutoDQ.
Evaluate your data readiness, governance, and AI maturity to identify high-impact LLM and RAG use cases.
Deploy Mosaic AI, Unity Catalog, Delta Live Tables, and Databricks Workflows to create governed pipelines that power Generative AI.
Apply MLOps and AutoDQ to validate data quality, optimize workflows, and ensure responsible AI delivery.
Enable your business units to use natural-language interfaces (text-to-SQL, copilots, chatbots) and scale AI innovation safely across the enterprise.
Book a 2-hour Generative AI Readiness Session to identify where and how Gen AI can safely accelerate your business on Databricks.
Book Your Readiness SessionSame-day response guaranteed
Turn your enterprise data into intelligent, governed AI agents that automate work and deliver real outcomes.
We help you pinpoint where intelligent agents create measurable impact (customer support, document intelligence, operations, compliance, etc.).
Using Agent Bricks, Vector Search, and OpenAI models natively on the platform, we build agents that reason over your governed Delta data.
We integrate agents into your existing data ecosystem, connect them to your systems, and automate their workflows.
Unity Catalog, AI Gateway, lineage, access controls, monitoring, and evaluation pipelines — all implemented end-to-end.
We create GenAI-enabled ETL with Lakeflow: ingest, classify, summarize, extract actions, generate knowledge, and deliver outputs at scale.
Grounded in your data, fully governed, and ready to drive value across the business.
Complex challenges require specialized expertise. Here's how KData accelerates your Databricks success.
Migrating from Teradata, Oracle, Hive, Redshift, or even Snowflake is complex. Legacy SQL, ETL, and data warehouse logic must be translated, validated, and optimized for Databricks.
With Databricks' BladeBridge acquisition, we leverage AI-powered migration tools to automate refactoring and validation across 20+ platforms — reducing cost, time, and risk.
Without robust validation, downstream analytics and AI models suffer. Most teams lack scalable frameworks for continuous quality checks.
We built AutoDQ, a Databricks-native accelerator with 200+ pre-built rules, schema-derived checks, and GenAI explanations. Teams validate data in hours, not weeks.
Inefficient Delta Lake queries and poorly tuned clusters lead to high cloud bills and slow runtimes.
Our consultants have optimized some of the largest Databricks deployments in Canada, applying proven playbooks that cut costs and speed up queries.
Scaling adoption requires fine-grained access control, lineage, and compliance across business units.
From Unity Catalog to Collibra/Purview integration, we deliver governance architectures that satisfy auditors and empower analysts.
Many enterprises struggle to operationalize ML beyond notebooks.
Our certified ML engineers productionize Mosaic AI, MLflow, and feature stores — enabling forecasting, recommendation, and NLP models at scale.
Hiring and training Databricks talent takes time your project doesn't have.
With a just-in-time delivery model, we place certified Databricks architects and engineers in days — without you paying for idle bench time.
SAP holds the most business-critical enterprise data, but extracting, integrating, and activating it for analytics and AI is difficult, slow, and costly. Traditional solutions often lose SAP context, making real-time insights and production-quality AI applications hard to achieve.
KData understands the SAP + Databricks partnership and how the two platforms integrate. We help enterprises combine SAP's curated business data with Databricks' AI, SQL, and governance capabilities — without duplication or ETL workarounds.
Reduce data quality implementation from weeks to days with our AI-powered, Databricks-native accelerator.
Data Quality Score
98.7%
Issues Resolved
247
Certified expertise, proven accelerators, and flexible engagement models designed for enterprise success.
Architects, engineers, ML specialists with proven Databricks expertise
AutoDQ (Data Quality), i-QA, BladeBridge Migration tools included
Trusted by Canada's largest enterprises for mission-critical deployments
Advisory, full projects, or rapid staff augmentation models
Every engagement includes access to our proprietary tools and frameworks
AI-powered migration tools for automated refactoring across 20+ platforms
Available with engagementsKData's expertise transforms Databricks implementations for enterprise clients
Real-time monitoring and optimization of your Databricks workloads
Comprehensive security frameworks and compliance management
Accelerated implementation with proven methodologies
KData delivers certified experts, accelerators, and proven frameworks to help you migrate, optimize, and scale on Databricks.
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