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 well for us. We did the extract route originally, but with the native Exasol connector it is just a performant as the extract. HTH. -Todd On Mon, Jan 30, 2017 at 10:15 PM, Jörn Franke <jornfra...@gmail.com> wrote: > 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 <mich.talebza...@gmail.com> > wrote: > > 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=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* > > > > http://talebzadehmich.wordpress.com > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > > > > On 30 January 2017 at 21:51, Jörn Franke <jornfra...@gmail.com> wrote: > >> 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 so efficient. >> Additionally use always the newest version of tableau.. >> >> On 30 Jan 2017, at 21:57, Mich Talebzadeh <mich.talebza...@gmail.com> >> wrote: >> >> 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 product like Spark >> or Hive. >> >> However, when I last tried Tableau on Hive, the mapping and performance >> was not that good in comparision with the same tables and data in Hive.. >> >> My approach has been to take Oracle 11.g sh schema >> <https://docs.oracle.com/cd/E18283_01/server.112/e10831/diagrams.htm>containing >> star schema and create and ingest the same tables and data into Hive >> tables. Then run Tableau against these tables and do the performance >> comparison. Given that Oracle is widely used with Tableau this test makes >> sense? >> >> Thanks. >> >> >> Dr Mich Talebzadeh >> >> >> >> LinkedIn * >> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* >> >> >> >> http://talebzadehmich.wordpress.com >> >> >> *Disclaimer:* Use it at your own risk. Any and all responsibility for >> any loss, damage or destruction of data or any other property which may >> arise from relying on this email's technical content is explicitly >> disclaimed. The author will in no case be liable for any monetary damages >> arising from such loss, damage or destruction. >> >> >> >> >
