Database sizes are growing beyond the capacity of single computers and the world will be ever increasing adoption of multi-computer networked databases https://t.co/n0g6xlzYZn
UCSD's @TweetAtAKK is making Deep Learning better with Cerebro: A Layered Data Platform for Scalable Deep Learning; Cerebro supports hyperparameter tuning and architecture selection over @Greenplum
https://t.co/Mow3u8QpAg
How to Build and Deploy an All-in-One Data
Lake, Data Mart and Data Warehouse: Analytics at scale in the modern enterprise with VMware Tanzu Greenplum and
Dell EMC Isilon storage with OneFS
https://t.co/US4LLpbrSi
7x performance gain of external access to RDMBS with JDBC from @Greenplum with PXF. That is before we even start pushing down predicates to the remote RDMBS
#Postgres supports a wide variety of data types, formats, and programming languages. In our upcoming webinar, we'll show you how Postgres has the potential to reduce the need for specialized databases, decreasing operational overhead.
https://t.co/3EX3EErrMf
Loving the look and feel of @Greenplum running on virtual infrastructure with VxRail. Performance was really good in our perf tests, and the usability experience is rock solid!
Continue to receive wonderful feedback about Performance improvements of @Greenplum v6 compared to v5. If you are still on a pre 6 version, highly recommend to gain the benefits of @Greenplum v6
This is big. It will transform materialized views from a thing of disappointed hopes (well, for many, not for all) to something really great and very useful.
I want to switch to 14 already, and not only because of this. Don't you?