I have not tried Oracle 12c in memory option. However, if the objects are
created as views, I guess that the data need to be stored in regular tables
first?
The comparisons of these technologies will not be just about whether the
data are stored in columnar format in memory, but also about how
Splendid Dylan thanks.
In a typical Star schema you have a FACT and DIMENSION tables through whivh
one uses analytical functions to slice and dice so to speak.
Does Incorta uses similar concepts but in memory? If that is the case can
perform similar concepts in memory. For example Oracle 12c in
Yes, it is implemented and already went live in several big companies in
bay area.
Spark Python is being used as the language for doing the typical data
transformation jobs when necessary. It is totally optional.
The data are stored in a Incorta proprietary format when they are presented
in
Hi,
There is a tool called incorta that uses Spark, Parquet and open source big
data analytics libraries.
Its aim is to accelerate Analytics. It claims that it incorporates Direct
Data Mapping to deliver near real-time analytics on top of original,
intricate, transactional data such as ERP
