Mondrian OLAP

Pentaho Analysis (Mondrian) is an open-source OLAP engine that allows users to analyze large, complex data in real-time.

[Julian Hyde @julianhyde]

@morel_lang Parameters are related to a @MondrianOLAP concept called "hanger dimensions"; see https://t.co/tZr0dXxnLE.

[Julian Hyde @julianhyde]

People are concerned about the future of the @MondrianOLAP project as open source. But a project needs more than concern: it needs people to step up and help. Join the discussion thread. https://t.co/usesUX5oks

[Apache Hop @ApacheHop]

Join us for the first Hot Hop Hangout later today to find out
- where we currently are
- what the future holds
- demo
- Q&A

No need to register, just join today (April, 22nd) 20:30 CET at https://t.co/MVgzi6dj11

#projecthop #3h1

[Herwig Evenepoel @evenepoel]

Want to know how to debug in a #Mondrian production environment? Learn from @rsim's this weekend during the @Pentaho Community Meeting! Read the interview: https://t.co/3x6M4FenDY #PCM18 #HitachiPartners https://t.co/nppOVrnst2

[Gunther Dell @GuntherDell]

Ready and exited to be on stage at the pentaho community meeting in Bologna tomorrow. Looking forward to interesting discussions about how @Pentaho @itnovum @SAP and @HitachiVantara bring value and insights.

[Scott Came @scottcame]

In which I talk about stacking standards-based technologies like sql, @MondrianOLAP, MDX, and @vega_vis to visualize data on @datadotworld...

[Scott Came @scottcame]

Looking forward to the @vega_vis meetup at @uwdata tonight. Planning to do a lightning talk on Vega-Lite and @MondrianOLAP. Slides: https://t.co/9CkNyQs9Pa

[Mark Rittman @markrittman]

From bitmap indexes and CASE tools through @MondrianOLAP and materialized views through to @ApacheCalcite and its mission to enable OLAP analysis and workloads in today's dis-aggregated, distributed new-world query engines - with Special Guest @julianhyde from @hortonworks https://t.co/DZXc0J7lR2

[Diethard Steiner @diethardsteiner]

The last easter egg found: #MDX ToggleDrillState explained with the help of @MondrianOLAP and @Pentaho Server: https://t.co/6RsDrbJRWv

[Pentaho @Pentaho]

Mission accomplished by Quentin Gallivan! Read to learn more: https://t.co/ahLzgPoCXg

[Diethard Steiner @diethardsteiner]

Happy Easter to everyone with a massive article on @pentaho #cde and #mdx DrillDownmember: https://t.co/Z6NuyUg7O1 @MondrianOLAP #cube #olap

[Julian Hyde @julianhyde]

@egwada @MondrianOLAP @ApacheCalcite @druidio Glad you like it! OLAP on Hadoop is hard, but the architecture is coming together.

[Julian Hyde @julianhyde]

Thanks @lukehq! Nothing wrong with a short-term fork if fixes are offered back. The @MondrianOLAP community is excited about @ApacheKylin!

[Diethard Steiner @diethardsteiner]

Virtual #OLAP cubes with @MondrianOLAP: Two use cases explained: https://t.co/mvbs09p6iq

[Julian Hyde @julianhyde]

So, @kyligence have created a fork of @MondrianOLAP specifically for @ApacheKylin https://t.co/QEx5g1mOKm

[Diethard Steiner @diethardsteiner]

Afternoon fun with #pentaho Mondrian and MDX - How to use the Generate() function: http://t.co/R58xdh83VO

[Raimonds Simanovskis @rsim]

Published my #PCM16 slides about Mondrian MDX user defined functions https://t.co/INX1KFQoHP and source code https://t.co/inroSAN3s0

[know.bi @know_bi]

The #pcm16 group picture

[Nelson Sousa @ubiquisBI]

Part 3 of the series about the Accumulating Snapshot is now live: https://t.co/IsXEAAQ8kB. We'll also be presenting it tonight at #PLUG

[Matt Casters @mattcasters]

PCM is Mainz 2008, Barcelona 2009, Cascais 2010, Frascati 2011, Amsterdam 2012, Sintra 2013, Antwerp 2014, London 2015, Antwerp 2016 #PCM16