on ‎2019 Jul 05 11:56 AM
Hi,
what are the typical use cases when I can deveolp my models in the Jupyter notebook with data in SAP HANA?
I am asking because most of the machine learning use cases I know have data in formats like wav, txt, csv or stored in data lake e.g. Hadoop or streaming data from IOT sensors. HANA memory is very expensive so it would make no sense to load this data to HANA.
Do you know any use cases or similar scenarios? Any links?
BR
Robert
Request clarification before answering.
Hi Abdel,
Thx for the answer but I think I have expressed my question the wrong way because I have already implemented models with this Python API with PAL and HANA DataFrames. So technically everything is clear to me.
I only want to know the typical use cases which are implemented and deployed this way. What are typical real world business examples?
Thx
Robert
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.
| User | Count |
|---|---|
| 13 | |
| 8 | |
| 7 | |
| 5 | |
| 4 | |
| 3 | |
| 2 | |
| 2 | |
| 2 | |
| 2 |
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.