The Great Potential of SAP HANA
The experiment with integrating SAP HANA into teaching and research here at Missouri S&T is paying off. Last week I observed our Business and Information Technology, BIT, students presenting their ERP Simulation projects to a team from Deloitte SAP Service Line. What caught my eye was that the students are now incorporating data from our Autism gene mapping research project, which is a university research project that my IT DBA staff are collaborating on in order to learn how to better support SAP HANA. This goes back to my original strategic decision to invest in SAP HANA to allow our researchers and students to align more closely with the desires of our corporate employers. See my blog post from last year. I elaborated on the concept of IT’s changing role as a facilitator of teaching and research in this article published in “CIO Review” last Fall. Observing our students understanding of the potential of SAP’s HANA for the Business Intelligence support for their projects is justification enough for the investment. But the excitement is now being generated by how HANA fits into our overall STEM teaching and research environment.
The Autism project was a fortunate opportunity to learn and explore the potential of HANA. Feedback from my DBA’s about how HANA is different from their traditional relational database experience is encouraging as well. What I hear is that HANA is initially daunting in it’s complexity. However, it makes the initial database layout easier because it shows you so many more possible relationships. Of course this is the Hadoop foundation based on large in-memory utilization. The HP SAP HANA appliance just packages it all into a more effective tool chest. Combine HANA with an already rich set of BI and Visualization tools, then let talented students run with it and you see the potential is endless.
Back to the Autism Project, the study is fascinating, especially to me with my bioinformatics background. The research investigators include: Drs. Tayo Obafemi-Ajayi, Bih-Ru Lea and Donald C. Wunsch. Here is a portion of their abstract:
Several studies conducted on autism gene expression analysis suggest that autism can be linked to specific genes though there are still no genetic markers that are undeniably diagnostic for idiopathic ASD. What is known is that the genetic landscape of autism is complex, with many genes possibly contributing to the broad autism phenotype. Genetic data analysis involves big data analytics. The ASD HANA in-memory database project will facilitate the goal of the ECE researchers to develop novel computational learning models for analysis of ASD genetic data. The genotype data of these ASD patients is available through the Simons Simplex Collection (SSC).
So the research is progressing and we expect significant new funding thanks to the proof of concept work already done. Chalk up a win for stimulating research. But another win is how the students have applied a portion of the data to create BI class projects. Now they see the connection to the Health Science industry. Because we now understand the potential of HANA we have also validated a research connection for the petroleum industry. This was the hope for the HANA investment, a perfect storm matching STEM savvy Business students with corporate recruiters identifying research ideas is a Win for all. This is the type of IT support flexibility needed by the emerging higher education teaching and research model of the future.