Our org recently stood up a data lake to consolidate various legacy data systems. Given that not many ppl know sql, what’s the best self service analytics tool to make data more accessible? Was told excel olap cubes, tableau are not sustainable for volume of data…

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Don’t even look at Microsoft products if you’re concerned about data volume. Tableau is pretty good but are you like working with petabytes here? Most enterprise data systems only have a few gigs to 50 if very large business

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Unfortunately there’s nothing on the market that is “non-technical” friendly for that kind of data volume. You’re getting into spark clusters at that point. None of the powerbi or tableau type tools were meant for petabytes so you’ll have to summarize the data into what you’re looking for and then make the data cube

I’ve had great success with Metabase! It’s really helpful for building SQL queries and exploring data visually. I had a number of product/account managers with little SQL experience pick up on it very easily.

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Can second metabase! Worked with it a long time ago and was a good tool.

By self service are you talking low code? 20TB with no SQL will be tough. Are there any other languages you are familiar with?

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Really rooted in sql, python and R. Objective for me is to find something almost no code at all for front end output like tableau or even olap cube as my audience will have ppl with no technical skills

Alteryx/Dataiku with Tableau/power BI

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DBT. It’s still a sql based solution but designed for accessibility

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