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Ask HN: Resources to plan organizations data strategy?

2 点作者 dav43超过 4 年前
I&#x27;m looking for resources to learn about development of a wholistic data strategy for large organizations (&gt;1,000) people - to store data, share data, create automatic&#x2F;realtime reporting?<p>Starting from a very low base - I&#x27;ve learnt to mockup R Notebooks to analyze data sets and used PowerBI to create (somewhat) informational dashboards and KPI measurement for organizations.<p>E.g. For an organization with +10,000 users, what options are available to setup datastores&#x2F;share and develop pipelines for a large organization - hosted&#x2F;local. E.g what tools are used? Whats industry best practice? Whats open source vs proprietary? Security implications&#x2F;trade-offs?<p>Any directions helpful. I&#x27;ve briefly looked at Power BI and its hosted platform but looking for what else is around.

2 条评论

coderintherye超过 4 年前
A common stack in industry now is: Fivetran (or Stitch) -&gt; Snowflake (or BigQuery) -&gt; Looker (or Mode)<p>For an organization with 1000+ employees you are going to be paying a lot for whatever service you use, which means that you will get a lot of support from the vendor you go with and you don&#x27;t have to try to answer all of these questions ahead of time. Plus, you are going to hire someone on your team to manage this, it&#x27;s not something that someone just manages on the side.
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brudgers超过 4 年前
At &gt;1000 the ordinary resources is consultants because person-centuries of experience is usually warranted at that scale. Consultants are also the best way to get in-house staff up to speed quickly because they will participate in specifying the system and learn what are the right questions to ask and important factors to consider. Good luck.
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