Matillion: Increasing data productivity without infrastructure
summary
Matillion demonstrates a managed Data Productivity Cloud that loads Jira into Snowflake using 10 Jira components running in parallel, commits pipeline definitions into Git, and automates deployment with GitHub Actions. Execution uses a Matillion hosted unlimited scale agent or an in‑cloud agent for data sovereignty, claiming zero install and near‑instant startup. The demo runs end‑to‑end: load, low‑code transform, commit to repo, and automated deploy to production while in private preview.
AI-written summary · about
chapters (4)
- 0:00Start
- 0:53Teams and organizations need to be equipped to be productive with cloud data
- 4:24Hybrid architecture allows workloads to run in Matillion's cloud or your private cloud
- 6:11Introducing Matillion Data Productivity Cloud
related talks
52mPreparing data for reporting, ML, and AI on AWS
28mScalable AI & Web Insights with GitLab, Snowplow & Snowpipe
27mDataOps & Full Snowflake Automation In 1 Click
38mEnabling Big Data and Machine Learning for the Masses...
40mDo the Magic with All-Remote Data Teams...
33mAutomating Data Analytics: Collect, Transform and Deploy - Lead With Change
24mA Single Data Platform for All of Your Workloads
28mUsing Dataops To Build And Manage Data Products On Snowflake