Lakehouse Foundation
Bronze/silver/gold medallion architectures, Delta Lake schema evolution, and Photon-tuned workloads engineered for cost and performance at scale.
Our Databricks practice helps enterprises move beyond pilots to production AI on the lakehouse. We design Unity Catalog–governed estates, build Delta Live Tables pipelines, and operationalize ML and generative AI with MLflow, Mosaic AI, and Databricks Apps.
The tiers, specialisations, and certified specialists that put Apptad in Databricks’s top consulting bench — auditable in the partner directory, not just on this page.
The Databricks-specific practice areas where Apptad has the deepest bench — codified into playbooks, accelerators, and specialist pods.
Bronze/silver/gold medallion architectures, Delta Lake schema evolution, and Photon-tuned workloads engineered for cost and performance at scale.
Metastore design, fine-grained access controls, automated lineage, and federation across Snowflake, BigQuery, and external sources.
Feature stores, MLflow-tracked experiments, automated retraining, and Model Serving endpoints with full observability.
Domain-tuned model deployments, vector search, and AI agents grounded on governed enterprise data inside the lakehouse.
Concrete ways Databricks shows up in industry programs Apptad has shaped, delivered, and runs — useful as a starting point when scoping yours.
Consolidate retail, wealth, and risk data into Databricks for unified customer views and regulator-ready reporting.
Build a Databricks-native analytics estate spanning EHR, claims, and trial data with role-based access and lineage.
Unify loyalty, transactional, and product telemetry inside Databricks to power merchandising, marketing, and store decisions.
Stream MES, ERP, and logistics data into Databricks for live OEE, downtime, and order-to-delivery tracking.
Combine telematics, freight, and route data on Databricks for route optimization, dwell-time analysis, and SLA tracking.
Aggregate SCADA, AMI, and asset telemetry into Databricks for outage prediction, asset health, and ESG reporting.
A look at recent engagements where Apptad and Databricks helped clients move from ambition to measurable business outcome.
Feature pipelines, MLflow-tracked models, and sub-100ms streaming scoring across 50M+ daily transactions — saving $28M in annual fraud losses for a top-10 bank.
Read full storyDomain-tuned LLM grounded on a Unity-Catalog corpus of 1.5M clinical documents — passing GxP validation and cutting Phase II trial preparation time in half.
Read full storyConsolidated 11 source systems into a Databricks lakehouse with 360° customer features. The new intelligence platform drove a 25-point lift in CSAT and 20% growth in targeted upsell.
Apptad rebuilt our fraud-detection stack on Databricks lakehouse from the ground up. Sub-200ms decisioning, eight-figure annual loss avoided, and audit trails the regulators actually praised. A rare combination.