Re: Tableau BI on Spark SQL

Hi Mich, You could look at http://www.exasol.com/. It works very well with Tableau without the need to extract the data. Also in V6, it has the virtual schemas which would allow you to access data in Spark, Hive, Oracle, or other sources. May be outside of what you are looking for, it works

Re: Tableau BI on Spark SQL

With a lot of data (TB) it is not that good, hence the extraction. Otherwise you have to wait every time you do drag and drop. With the extracts it is better. > On 30 Jan 2017, at 22:59, Mich Talebzadeh wrote: > > Thanks Jorn, > > So Tableau uses its own in-memory

Re: Tableau BI on Spark SQL

Thanks Jorn, So Tableau uses its own in-memory representation as I guessed. Now the question is how is performance accessing data in Oracle tables> Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw

Re: Tableau BI on Spark SQL

Depending on the size of the data i recommend to schedule regularly an extract in tableau. There tableau converts it to an internal in-memory representation outside of Spark (can also exist on disk if memory is too small) and then use it within Tableau. Accessing directly the database is not

Tableau BI on Spark SQL

Hi, Has anyone tried using Tableau on Spark SQL? Specifically how does Tableau handle in-memory capabilities of Spark. As I understand Tableau uses its own propriety SQL against say Oracle. That is well established. So for each product Tableau will try to use its own version of SQL against that