r90t

Everyone who worked w/ Redshift had a terrible experience when they tried to scale out. Their db is unstable(new features), permission model is different from IAM and it is simply hard to optimise due to the lack of isolation. Are they working on bringing another DB or they are planning to incrementally rework Redshift to the point it could compete w/ Snowflake and BQ?

Hey HN. I am looking for experiences on how the Data Team is organised within your organisation. There are couple of insights from DBT[https://www.getdbt.com/data-teams/data-org-structure-examples/] and GitLab[https://about.gitlab.com/handbook/business-technology/data-team/]. There are many different functions like infra, application engineers, pipelines, analytics engineers, analysts, DWH engineers, data modellers and so on ... . How do they work together? How ownership model is defined especially in modern SaaS world with GC, Azure and AWS providing more and more out of the box "manage-free" solutions. How do you manage enterprise applications and their integrations into tools? Do you have team per domain, team per tool and/or team per function?