4 posts tagged “Delta Lake”

Four real ways to extract MAS 9 data for a Databricks lakehouse — REST/JSON API, MIF over Kafka and the Data Export framework, DB-direct, and Lakehouse Federation — with real object structures, Kafka broker config, and honest CDC framing.

A table-by-table medallion architecture for MAS 9 data — cleansing rules for WORKORDER, ASSET, MATUSETRANS, PM, and meter data, conformed dimensions, and gold marts for reliability and cost analytics.

Worked Databricks SQL for the five gold-layer questions a maintenance leader actually asks: MTBF/MTTR trend health, maintenance cost rollups, slow-moving inventory, work order backlog aging, and PM compliance — built on Part 3's silver and gold tables.

A six-part series on where MAS 9 native analytics stops and Databricks starts — data extraction patterns, the medallion architecture for Maximo objects, five concrete analytics use cases, custom ML versus Maximo Predict, and lakehouse governance.