Location History:
- Ludwigshafen am Rhein, DE (2021)
- Walldorf, DE (2020 - 2022)
Company Filing History:
Years Active: 2020-2022
Title: Bastian Erler: Innovator in Graph Data Querying
Introduction
Bastian Erler is a notable inventor based in Walldorf, Germany. He has made significant contributions to the field of graph data querying, holding a total of 7 patents. His work focuses on enhancing the efficiency and functionality of querying graph data within relational databases.
Latest Patents
Bastian's latest patents include innovative methods for querying graph data. One of his notable inventions is the "SQL interface for embedded graph subqueries." This patent describes a method, system, and computer program product for querying graph data. It involves identifying a graph workspace object and executing a declarative language query based on identified parameters. The results are processed to access graph data stored in a relational database.
Another significant patent is the "Index for traversing hierarchical data." This invention provides a method for traversing hierarchical data by generating an index based on a source table stored in a database. The method includes creating an inner node map that identifies children nodes descending from an inner node in the graph. This index allows for depth-first traversal of the graph, starting from the root node.
Career Highlights
Bastian Erler is currently employed at SAP SE, where he continues to develop innovative solutions in the realm of data management and querying. His expertise in graph data has positioned him as a key contributor to advancements in this area.
Collaborations
Bastian has collaborated with notable colleagues such as Gerald Franz and Hannes Jakschitsch. Their combined efforts have led to the development of cutting-edge technologies that enhance data querying capabilities.
Conclusion
Bastian Erler's contributions to the field of graph data querying are noteworthy. His innovative patents and work at SAP SE demonstrate his commitment to advancing technology in this domain. His achievements reflect the importance of innovation in improving data management practices.