I am writing some notes,  please summarize:

- lots of data we have in ocado
- used by various things and they have lots of repeated tasks (doing same things again and again)
- lots of problems regarding repeated tasks
- we decided to centraize the data
- we need to go old scholl and build data warehouse
- empower the users that don't have the tech sckill to use the data
- collaborative useage is key,
- every should be able to see the code and data must be trusted
- looker and data warehouse should be simplify IAM problems
- we're using gitlab orchestration and dbt for transformation and looker for distrubution
- we're using internal tool named "query manager" for scheduling queries
- the reason for using looker is it provide versioning and semantics
- we're using osp data model
- the data landscape at ocado is volatile and changes quickly
- we're now working on iterative and gradual models (big models aren't good)
- in analytical layer we use star schema
- warehouse layer will be useful for mining the data  The response should be in all capital letters.
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