Top Tweets for #Polypheny
Last Monday, we had the exiting opportunity to present Polypheny to a packed house during the Uni Konkret event of the @_hkbb.
Thanks to everyone attending and the great questions and discussions.
#unikonkret #bigdata #polypheny
Are you interested in doing cutting-edge research in data management? Our partners @dbisUnibas are hiring! Apply now for a PhD position in the context of #polypheny.
https://t.co/x1IiP4wNO1
@dmi_unibasel @UniBasel
#Switzerland #BigData #DataScience #DataManagement
Yesterday we had the pleasure to pitch Polypheny at the Innovation Basel final event. We were delighted with the enormous responses we received. Thanks Innovation Basel for this fantastic opportunity!
#InnovationBasel #Pitch #Polypheny #BigData #DataPlatform
Have you already tried out Polypheny-DB 0.8?
Visit our repository and get your hands on the newly introduced #graph capabilities.
https://t.co/vqwYU1ET3l
#polypheny #BigData #neo4j #DataPlatform #DataScience
๐ #Polypheny-DB 0.8 is out now and focuses on improving core workflows as well as adding Graph-DB support, a new query language, #neo4J integrations and much more.
https://t.co/sVT9mbw8oO
#PolyDBMS #Polypheny #BigData #DataPlatform
As part of a #gsoc project, our #opensource contributor Anh is integrating the Google Sheets API adding another data source adapter.
This extension will allow querying existing Google Sheets through #polypheny.
As part of a #gsoc project, Kelly https://t.co/KaqAgCIwIF is adding an Excel data source adapter. This extension will allow querying Excel files through #polypheny.
Polypheny now supports Materialized Views! Due to the heterogeneous set of data stores available in #polypheny, materialization offers even more potential than on traditional database systems.
We had a debriefing on our participation in #gsoc. Google Summer of Code has been a great experience for everyone and resulted in valuable contributions to #polypheny. We already have some ideas for next year!
With native support for the Document data model and the Mongo Query Language, #polypheny made another big leap towards multi-model support today.
We are excited to announce that there is now automated testing for the #polypheny user interface using #cypress. This has been implemented by @S_Harshit01 in context of a very successful #gsoc project.
A few minutes ago, we have merged support for temperature-aware data management in #polypheny! In the context of this change, we also massively improved the data partitioning itself.
During his project in the context of #gsoc, @shubhamyo built a data source adapter for #polypheny that allows to query the #ethereum #blockchain.
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