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Data management is not limited anymore to towering data silos full of perfectly structured, well integrated data. Today, we need to process and make sense of data from diverse sources (public and on-premise), in different application contexts, with different schemas, and with varying degrees of structure and quality. Because of the necessity to define a rigid data schema upfront, fixed-schema database systems are not a good fit for these new scenarios. However, schema is still essential to give data meaning and to process data purposefully. In this paper, we describe a schema-flexible database system that combines a flexible data model with a powerful data query, analysis, and manipulation language that provides both required schema information and the flexibility required for modern information processing and decision support.

Flexible Information Management, Exploration and Analysis in SAP HANA