D-people workplace — Sber's experience

Dmitry will tell how to organize the access and work with data for different specialists — engineers, analysts, data scientists. He will also tell how approaches to the allocation of computing resources and access organization have evolved, how changed the toolset and modeling approaches, how the approaches to the output of results into industrial operation developed.

The used technology stack is very wide: cloud solutions based on OpenShift, distributed processing on Hadoop/Spark, analytical storage based on GreenPlum, Hue, Jupyter development tools, and own developments. Targeted audience: users with basic experience, data engineers/analysts/scientists, leads, and architects.