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Author's profile photo Witalij Rudnicki

SAP TechEd 2020 for Data Professionals — my 3×3 picks

DJ Adams was the first from our Developer Advocates team to post his My SAP TechEd 2020 – what I’m looking forward to. I won’t repeat here all the great suggestions DJ already included there, be that the Developer Keynote, the Channel 1, or Baseline Technologies. His post is a must-read!

Therefore I will focus only on what session recoordings I recommend. To not overload anyone I will follow the “Rule of Three” sharing my 3 session picks for each of the 3 data professions I am passionate about.

Data Scientists

๐Ÿ‘‰ Standardized Consumption and Operation of Machine Learning in SAP S/4HANA [INT123]ย by Priti Dhingra and Abhishek Mishra, Product Managers, SAP

For most of our customers data in S/4HANA is the core of their operations. With the Machine Learning this data is the base of their innovation, ’nuff said.

๐Ÿ‘‰ Performing Data Science with SAP HANA Cloud [DAT202]ย by Christoph Morgen, Product Manager, SAP

SAP HANA is the foundation of SAP S4/HANA. And SAP HANA’s embedded PAL and APL libraries are the foundation of Machine Learning projects discussed above.

๐Ÿ‘‰ Application of Machine Learning Models in Real Time and at Scale [INT114]ย by Andreas Forster, Data Scientist, and Stojan Maleschlijski, Machine Learning Expert, SAP

If you know Stojan and Andreas from their blog posts, then you need no further recommendation. If you do not know them, then check their content here at, and you will know it is going to be no fluff not-to-be-missed session!

Data Analysts

๐Ÿ‘‰ Porscheโ€™s Innovative Data Management and Analytics Strategy [ANA120]ย by Markus Hartmann, IT Project Manager, Porsche AG

This is a session by a customer. I saw Markus presenting at SAPPHIRE NOW and now I want to learn more about the nitty-gritty of their implementations of SAP Analytics Cloud and SAP Data Warehousing Cloud at Porsche AG.

๐Ÿ‘‰ Get the Overview of SAP Analytics [ANA101]ย by Iver van de Zand

I am not too much into high-level overview sessions… But if it is done by Iver, then it gets my attention!

๐Ÿ‘‰ Overview and Highlight of the Analytics Designer for SAP Analytics Cloud [ANA201]ย by Jie Deng, Product Manager, SAP

It might be a developer in me talking, but a tool that allows writing a line or two of code catches my attention. SAP Analytics Cloud’s Analytics Designer is such a tool for analytic applications, so count me in.

Data Engineers

๐Ÿ‘‰ SAP Data Intelligence, SAP HANA Cloud, and SAP Analytics Cloud [DAT113]ย by Christian Tietz, Product Manager, SAP

It is 3-in-1! And did someone mention the Rule of Three today?

๐Ÿ‘‰ SAP HANA Cloud: How to Extend Your On-Premise Landscape to the Cloud [DAT101]ย by Tae Suk Son and Seungjoon Lee, Product Managers, SAP

New to the Cloud? You do not need to jump all-cloud immediately. Most of the customers start their cloud transition with a hybrid landscape. Learn how to make it right.

๐Ÿ‘‰ Central Data Integration and Data Science Platform at Endress+Hauser [DAT300] by Stephan Wernli, Data Scientist, and Simon KuรŸmann, Senior Process Consultant Business Analytics, Endress+Hauser

The session descriptions says “[…] During this session, E+H shows how it is implementing AI-driven, supply-chain risk analytics with SAP Data Intelligence.” I am sold.

What have I missed?

No listing of other sessions recommended by my teammates?

You’ll find’em all in Thomas Jung‘s ๐Ÿ‘‰ My SAP TechEd 2020 โ€“ An Agenda From the Viewpoint of a Developer Manager

Surprisingly no listing of any multi-model session?

You’ll find’em all in Mathias Kemeter‘s ๐Ÿ‘‰ SAPTechEd Sessions for Spatial Enthusiasts!

Modestly not listing any of my own sessions?

Thank you for asking ๐Ÿค“ You’ll find’em all here ๐Ÿ‘‰

I hope you enjoyed SAP TechEd 2020!


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      Author's profile photo Henrique Pinto
      Henrique Pinto

      Interestingly you picked 0 DWC sessions for data professionals.
      Is that a hint? ๐Ÿ˜€

      Author's profile photo Witalij Rudnicki
      Witalij Rudnicki
      Blog Post Author

      Henrique Pinto glad to hear from you, buddy ๐Ÿ™‚ Do not read between lines!

      Actually, do read lines, as the very first session has "...implementations of SAP Analytics Cloud and SAP Data Warehousing Cloud at Porsche AG"! It was one of the reason I picked it.

      See you (virtually) next week?

      Author's profile photo Henrique Pinto
      Henrique Pinto

      so just the customer is talking about it ๐Ÿ˜€

      I'll be there (in some sessions). Cheers!

      Author's profile photo Witalij Rudnicki
      Witalij Rudnicki
      Blog Post Author

      These were my picks. Mind sharing yours? ?

      Author's profile photo Henrique Pinto
      Henrique Pinto

      To be fair I have not created a full agenda yet.
      SAP TechEd and Reinvent are happening at the same time, so most of my time is actually spent on Reinvent. I am opportunistically looking at recommendations of people whose opinion I value such as yours to attend some good sessions here and there, rather than trying to mine and find the gems within the coal mine, if that makes sense. ๐Ÿ˜›

      Author's profile photo Rolf Hoven
      Rolf Hoven

      We have installed SAP Data Intelligence.

      What sessions are about reporting on these data ?

      I want to expose data from DI as odata-services to our customers.

      Any session about how-to ?

      Author's profile photo Witalij Rudnicki
      Witalij Rudnicki
      Blog Post Author

      Hi Rolf. It is not usual for customers to use SAP Data Intelligence as a storage. Did you use Vora from DI to store the data? It is rather used for data exploration scenarios via its SQL interface.

      I would certainly recommend SAP Data Intelligence, SAP HANA Cloud, and SAP Analytics Cloud [DAT113]ย by Christian Tietz,

      by Jens Rannacherย would be another session that sounds interesting for you.


      Author's profile photo Rolf Hoven
      Rolf Hoven


      We are using SLT to replicate tables from SAP-ECC. ( pilot-project at the moment )

      The main reason for SAP DI, is to avoid workload on ECC, when customers need data.

      We plan to build odata-services in DI, using CDS-views, to expose data to our customers.

      Sounds like a good idea ?ย  ( please advice )

      Best regards,