Earlier quoted context omitted.
I find that hard to believe unless you were searching just on Google News. Searching "tableau" in Google stills shows their website as well as a large knowledge graph on the right hand side which tells you exactly what the company is about. There's News results at the top of the page, but there's still plenty of information, including the company website, on the first page of results. http://i.imgur.com/tV89FoZ.png
https://www.google.com/webhp?sourceid=chrome-instant&ion=1&e...
Tableau stock down almost 50%
271–280 of 370 posts
Re: Tableau stock down almost 50%
#272Earlier quoted context omitted.
Tableau is for business analysts. Splunk is for Sys Admins. ELK is for engineers with a lot of patience.
The ELK stack is really fancy next generation "tail -f | grep" in a web browser. Which is awesome and really important, but a very different problem from "tell me how many users have used my app for three or more days in a sliding thirty day window".
Re: Tableau stock down almost 50%
#273huge corrections under way, guarantee this is not the end, just the beginning. unicorn slaughter. upside: expect house prices in the SF bay area to become more affordable.
Re: Tableau stock down almost 50%
#274Earlier quoted context omitted.
For the record, Periscope has an incredibly poor UX. It suggests "run selected query" when you highlight a single column name... As if that's valid sql.
Are there other examples of poor UX? Overeager pattern matching alone wouldn't bother me, but if it's a sign of other inattentiveness...
Re: Tableau stock down almost 50%
#275Earlier quoted context omitted.
PowerBI has nowhere near the capabilities of Tableau. On top of that, PowerBI is subsidized in order to funnel customers for SQL Server.
What's are some of the biggest things missing in Power BI compared to Tableau?
It all boils down to this, in my opinion: PowerBI is for dashboards and reporting mostly. Tableau can do dashboards, but it can also do "analysis". Uncovering insights in the data that go way beyond simple cross-filtering.
In my mind, they are different tools for different purposes.
Re: Tableau stock down almost 50%
#276https://powerbi.microsoft.com/en-us/blog/gartner-positions-m...
Re: Tableau stock down almost 50%
#277Earlier quoted context omitted.
It's not very scriptable but that's not the use case of Tableau. Generally data analysts do not know how to program. They meet with PMs to understand concerns, interpret concerns into metrics, write some SQL, and display them in dashboards. While Tableau performance is a thing that people debate, its a non-issue. Generally, the data analyst produces a report that is consumed by 1-10 people and if that consumption gro…
>Generally data analysts do not know how to program In my experience, the ones that don't often produce some really erroneous or nonsensical results. Or even if they do get some things right, they have no ability to drill deeper.
Re: Tableau stock down almost 50%
#278Earlier quoted context omitted.
I've played with Tableau, is there no scripting at all? Their previous Director of Analytic Product Management Stephen McDaniel stated that in v8 they were going to add server side Javascript - and he said this in 2012 ... https://community.tableau.com/ideas/1694#comment-2661
Many companies have said things that never materialized. Landscape changes over time.
Re: Tableau stock down almost 50%
#279Earlier quoted context omitted.
It depends on whether you want your BI to be generated by a battle tested product, or by a melange of a rickety, buggy, half baked stuff that hardly anyone is able to use without paying $10K+/yr for a support contract.
Um, are you talking about Tableau or Mondrian coupled with Saiku/Pentaho?
Re: Tableau stock down almost 50%
#280Earlier quoted context omitted.
>Generally data analysts do not know how to program In my experience, the ones that don't often produce some really erroneous or nonsensical results. Or even if they do get some things right, they have no ability to drill deeper.
Most big companies are actually just fine with nonsensical results. It's a bit odd, but I've realized that nobody who uses BI actually cares much about data quality or integrity.
BI in large corporations is usually done by people having no clue about the data, producing bullshit results, leading to "insights" to management (who at that point have have no clue that all the cost columns were added up, regardless of currency), leading to a final "product strategy" that gets implemented over the next years, while in all the companies still producing innovation, this is usually done by a rogue team applying common sense and ignoring that strategy all day long.
BI is pure feel-good for upper echelon.