Data management with SAPs in-memory computing engine

We present some architectural and technological insights on SAP’s HANA database and derive research challenges for future enterprise application development. The HANA database management system [1] was developed to meet changed requirements of modern business applications. Nowadays, these require fast and complex analytical data processing coupled with traditional transactional data management. Additionally, fast and agile decision processes that take operational data as well as structured and unstructured information into account are the current key driver in enterprises for business success. In conventional system landscapes currently found in enterprises, dedicated systems are used for analytical and transactional data processing. In contrast, HANA follows a more holistic data management approach by integrating OLTP and OLAP functionality in a single system and by adding features beyond traditional database management systems, such as graph or text processing for semi- and unstru...

• Type: Journal
• Year: 2012
• Where: EDBT
• Authors: Joos-Hendrik Boese, Cafer Tosun, Christian Mathis, Franz Faerber
• Keywords: Database, Database Management Systems, EDBT 2012, Enterprise Application Development, Intensive Computations