Andreas Neumann

Title: Innovations by Andreas Neumann

Introduction

Andreas Neumann is an accomplished inventor based in Oakland, CA. He holds a total of 4 patents that showcase his expertise in the field of technology and data processing. His work primarily focuses on enhancing the efficiency of task-processing systems and dataflow graph processing.

Latest Patents

One of his latest patents is titled "Priority for autoscaling of streaming workloads." This invention discloses a method, system, and computer system for automatically scaling task-processing capacity. The method involves obtaining a current measure of queued tasks and/or task-processing capacity, and determining a set of tasks to process based on input data. It also includes automatically scaling the task-processing capacity based on the current measure and either a cost-prioritized or latency-prioritized criterion.

Another significant patent is "Dataflow graph processing." This system comprises a communication interface and a processor. The communication interface is configured to receive an indication to generate a dataflow graph, which includes a set of queries and/or commands. The processor determines dependencies of each query, constructs a directed acyclic graph (DAG) of nodes based on these dependencies, and provides the dataflow graph.

Career Highlights

Andreas Neumann is currently employed at Databricks Inc., where he contributes to innovative solutions in data processing and analytics. His work has significantly impacted the efficiency of data handling and processing in various applications.

Collaborations

He collaborates with notable colleagues such as Michael Paul Armbrust and Mukul Murthy, who are also recognized for their contributions to the field of data processing and technology.

Conclusion

Andreas Neumann's contributions to technology through his patents reflect his innovative spirit and dedication to improving data processing systems. His work continues to influence advancements in the industry.