Turning Big Data analytics into profit - how OTTO’s data scientists use our analytical database
(With Bjoern Stachmann) In this presentation OTTO’s Bjoern Stachmann will demonstrate how their data scientists are using our analytical database to get more value from their Big Data architecture. By using a self-adjusted system called a Data Science Box, their data scientists have virtual access to any data source within the organization – be it their data warehouse, data lake or our database. Using pre-defined connectors out of the Data Science Box, OTTO can now easily access their data to find new business opportunities and any information that adds value to their enterprise You’ll learn why we added Virtual Schemas to the Data Science Box to help OTTO’s data scientists access data sources in relational models and tables. It’s enabled them to get easy, fast and secure access to data, so they can develop new trade mechanisms or features within their customer facing applications. Using our Virtual Schema as an access layer to classic data sources, also helps to supports their data security, encryption and decryption - without the need for separate toolsets or services. Mr. Stachmann will touch on the Exasol to Spark adapter, which allows a direct one-to-one data interaction between the systems without the need to use external tools, or add any complexity to the existing architecture. And at the heart of Mr Stachmann’s talk he’ll take you through how OTTO use our analytical database with the Data Science Box and Virtual Schemas to do away with the time consuming need to gather and merge high aggregate data and raw data out of different data silos for their fast exploration and predictions. Now, they can simply do analytics where ever their data is, whatever format it’s in - and get the highest performance response time’s they’ve ever had. It has helped them become much more efficient by finding new, valuable information out of the existing data treasures, resulting in higher value and lower risk to their core business.
Data Science & Predictive Analytics