Thinking on semantic data modeling and the universal semantic layer, plus release notes on what's new in Ellie.
Data engineers spend nearly half their time maintaining pipelines for products few people use, because teams lack visibility into data assets and who actually depends on them.
Ellie's new AI assistant turns plain-language descriptions, documents, and whiteboard sketches into structured data models, fully governed by Ellie's existing naming and review workflows.
A look at what shipped in Ellie 5.1 (conceptual model import, improved auto draw) and the H1 2024 roadmap: brand refresh, Personal Collections, Sub Glossaries, physical modeling, and LLM-assisted modeling.
Most data warehouse failures trace back to Kimball's warning about neglecting user acceptance, not bad engineering; conceptual data modeling acts as the bridge between business and technology, letting teams break large warehouse projects into smaller, business-driven, reusable models instead of technology-first builds.
Ellie's CTO Jari "Jaffa" Jaanto on hiring Lead Developer Andrey Artemenko: what traits he looks for (problem-solving over pure coding skill, startup-pace adaptability, customer-centric thinking), the career-growth paths Ellie builds for Lead Developers, and the swift, person-first recruitment process behind the hire.
Ellie CEO Johannes Hovi explains how the company's new employee stock option program works, from vesting and eligibility to the tax implications of owning options versus shares.
Ellie 5.0 overhauls the Conceptual Modeling canvas with a unified edit/view experience, a revamped sidebar, streamlined Glossary Excel import/export, and more.
Ellie's CTO Jaffa explains the new Stream Team structure behind our data modeling SaaS product, from autonomous teams to the research shaping how we build software.
Takeaways from Big Data LDN 2023: conceptual data modeling is making a comeback, data products and data fabric are driving a surge in data engineering democratization, and internal data marketplaces are poised to grow.
Why CDOs can't solve data challenges with technology alone: three reasons tech-first approaches fail to create value (missed pain points, no tailored solutions, impressive but unused tools), and three relationship-building habits, regular communication, collaborative workshops, and feedback loops, that close the business-technical divide.
Ellie.ai has secured a €2.5 million seed funding round, co-led by Newion and Crowberry Capital, to help enterprise data teams design and validate data products faster.
Explores two uses of LLMs in data modeling: generating data models from plain-language descriptions of a business, and using existing data models to guide LLMs toward more domain-relevant output, arguing data modeling still requires human judgment.
A 45-minute call with a data modeling expert, not a sales pitch.