Scaling for MHHS: how Octopus Energy achieved a 50x cost reduction in margin data engineering
Summary
Octopus Energy achieved a 50x cost reduction in their margin data engineering pipelines by re-architecting on Databricks for UK MHHS regulation. They leveraged Delta Lake Change Data Feed and Databricks Serverless to process 48x more data at a fraction of the original cost, improving freshness from weekly to daily.
Summary generated by brickster.ai. For the full article, follow the source link above.
More from Databricks Blog
Automatic Upgrades: best practice features for your lakehouse tables
Automatic Upgrades now bring best-practice features like improved performance and reliability to your Unity Catalog managed tables. This first-of-its-kind capability verifies workload compatibility before enabling features, all while keeping them configurable per table.
Reimagining Data Modeling on the Lakehouse: Introducing Vibe Data Modeling
Vibe Data Modeling is now available, an LLM-powered agent that creates analytical Silver-layer business models directly from plain English descriptions, reducing deployment from months to hours. Iterate in natural language to produce new versioned models, validated against 251 rules and redeployed to Unity Catalog, with one logical model supporting many physical layouts.
Scaling Security Alert Triage With Specialized Agents on Databricks
Databricks AI now enables automated, real-time triage of high-volume, low-severity security alerts using 17 specialized agents on Spark Structured Streaming. This approach achieved a 10x higher true-positive rate and saved over 6,500 analyst hours in the first month by ensuring every low-severity alert is investigated.
Contextual Policies in Omnigent: Using session state to better govern AI agents
Omnigent now offers contextual policies for AI agents, enabling session state tracking to evaluate whether subsequent actions should proceed. These policies, applicable across any agent Omnigent wraps, allow for more powerful governance like per-session spending caps or risk-accumulating guardrails.
OpenAI and Databricks at DAIS 2026: Making enterprise AI real
Databricks and OpenAI are partnering to make enterprise AI real, combining Databricks' data and AI infrastructure with OpenAI's advanced intelligence. This collaboration helps organizations move from prototypes to production-ready agents, with a joint webinar on August 4-6 to showcase what's next for agentic AI at scale.
