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Author's profile photo Iurii Kupriianov

MEE/CIS: The First TTT for Faculty Members on SAP HANA in CIS Region

Following up on success of Summer School 2015 (link), this SAP University Alliances CIS joint its efforts with UCC Magdeburg to complete SAP CIS Winter School for Faculty Members. With great support of UCC Magdeburg, UA@CIS team managed to successfully run SAP CIS Winter School as 2 HANA train-the-trainer sessions: one held in Moscow and another in St. Petersburg. Since the topic of Big Data with SAP HANA was a long awaited one, the trainings was very well accepted by local academic community: originally planned 20 seats in each of the training locations were expanded to 30 seats, but the overall number of registrants was still twice as higher.

The Moscow part of Winter School was hosted by Gubkin Russian State University of Oil&Gas, gathered 33 participants from 19 universities of Russia, Belarus, and Uzbekistan and provided greater focus on teaching SAP HANA, and deeper theory on data analysis approaches. While the one in St. Petersburg was hosted by ACC St. Petersburg in Peter the Great St. Petersburg Polytechnic University provided greater focus on research and application use of SAP HANA and attracted 22 participants from 10 universities of Russia, Azerbaijan and Uzbekistan.


The Moscow 2-days train-the-training session offered insights into the new In-Memory database SAP HANA. Participating faculty members learned to work with the SAP HANA database, acquired first hands-on experience. On the first day of the training the basic concepts of SAP HANA were presented. Later that day participants implemented the SAP HANA Introduction Curriculum and learned to design various Extract-Transform-Load processes via Smart Data Integration in order to load data from external sources into the SAP HANA. Based on this data different logical views were created and after that, processed data was visualized using SAP Lumira Server. Topic-wise agenda of the 1st training day in Moscow looked the following way:

1.      Introduction SAP UCC and GBI story

2.      Introduction to In-Memory Databases for Analytic Application

3.      Exercise: Visualization of GBI data on SAP HANA with SAP Lumira Server

4.      SAP HANA Data Modeling

5.      Exercise: SAP HANA Studio

6.      Exercise: SAP HANA Data Modeling Case Study

On the second day of the workshop SAP HANA curricula were demonstrated. The focus, thereby, was laid on data mining, text mining and predictive analysis. Following curricula available from SAP Learning Hub academic edition was presented: 

  • “Development on SAP HANA”,
  • “Data Mining using SAP Predictive Analytics”,
  • “Text Analytics – Sentiment Analysis on Twitter Data”,
  • “Geospatial Analysis”

Collaterals.jpgThe part of the Winter School having taken place in St.Petersburg was a 1-day training offering an introduction to SAP HANA with the focus on its functionality and its application for research purposes. The training delivered insights into such technologies as Advanced and Predictive Analytics, native application development with OData and SAPUI5, data load from Twitter, creating full text indexes, sentiment analysis as well as geospatial data processing. All key technologies of the platform like „Extended Services“, „Odata“ and „SAPUI5“ were explained and during the subsequent hands-on session the participants The agenda of TTT in St.Petersburg included the following topics:

1. Introduction to SAP UCC and Big Data Innovation Center

2. Introduction to In-Memory Databases for Analytic Applications

3. Exercise: SAP HANA Studio

4. Introduction to the SAP HANA key technologies

5. Hands-On session: seveloping an SAPUI5 application

6. Big Data Innovation Center: Research and Development projects with industry partners

SAP Universtiy Alliances CIS team would specifically thank UCC Magdeburg expert Ksenia Neumann for planning the course, UCC Magdeburg director Stefan Weidner for supporting the TTTs with Roadshow to top Russian universities, Gubkin Russian State University of Oil&Gas for hosting the  TTT in Moscow and ACC St.Petersburg team for helping in organization of TTT in St. Petersburg.

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