Saturday, May 9th, 2020
8:45 AM Open Workshop I ERST DATA ENGINEERING RICHTIG MACHEN UM DATA SCIENCE ERFOLGREICH PRODUKTIV EINSETZEN ZU KÖNNEN
• Data Engineering and Data Science: understanding the differences
• What do the typical and ideal data science projects look like?
• What are the most common -- -data science use cases in banking?
• Challenges for efficiency in Data Engineering and Data Science within banking
• Enabling Data Science: 7 steps to take
• Data Scientists and Analysts must be empowered with modern tooling
• A Cloud-based solution to the Data Engineering problem using the Snowflake cloud database
• Detailed Snowflake DWH + Data Lake hybrid setup to support both Data Science and daily