People
PhD Students
Main Advisor
Fault tolerance, autoscaling, and similarity joins in stream processing
Main Advisor
Distributed transactions and stateful functions on streaming dataflows
External Advisor; Main Advisor: Seif Haridi
Apache Flink, stream processing, and window aggregation
Daily Supervisor; Main Advisor: Volker Markl
Optimizing ML pipelines across linear and relational algebra
Daily Supervisor; Main Advisor: Volker Markl
Implicit parallelism and deep language embedding for scalable data analysis
Postdocs
Transactional cloud applications and stateful dataflow runtimes
Data integration and ML-driven query processing
Stream processing systems, fault tolerance, and stateful functions
Master Students
Global State Queries in Stream Processing
Global-State Querying in Stream Processing using Snapshots
Heuristic Optimization of Amazon Redshift Table Configurations
An Intermediate Representation for Stateful Dataflows
Human Interaction in Tabular Data Augmentation
Estimation of Similarity Between Data Streams
Experimental evaluation of distributed similarity joins
Benchmarking checkpointing algorithms in Stream Processing Engines
Consistency in Stateful FaaS Platforms
Minimizing aborts in an epoch based transaction protocol
Incremental Snapshotting in Transactional Dataflow SFaaS Systems
Enriching Machine Learning Model Metadata
Benchmarking Stateful Serverless Functions
Generating labeled datasets for schema matching
Dirty Entity Resolution starring Locality-Sensitive Hashing
Online state migration in modern stream processing engines
Neural Session Recommendation
Declarative Image Generation
Distributed Dataflow Transactions
Cost Estimation for Factorized Machine Learning
An exploratory journey to combine schema matchers
Large Scale In-Database Machine Learning
S-Query: Opening the Black Box of Internal Stream Processor State
Benchmarking Checkpoint-based Fault Tolerance Algorithms
Distributed Transactions on Serverless Stateful Functions
Benchmarking Distributed Database Performance
The State of Data Streaming Practices at ING
Anyone Can Cloud: Democratizing Cloud Application Programming
State Migration in Stream Processing Systems
Which error detection tool to choose?
Finding and materializing common subexpressions among queries
Holistic Schema Matching at Scale
The Design and Implementation of a Stateful Streaming Rule Language
Real-time anomaly detection in logs using rule mining and complex event processing at scale
Data Versioning for Graph Databases
Epoch alignment in stateful streams
Window Aggregate Sharing for out-of-order Stream Processing
Scaling up Computations on Highly Skewed Graphs
A Benchmark Environment for Big Data System Spark and Flink
Rich Window Discretization Techniques in Distributed Stream Processing
Airline Passenger Estimation: A Scalable Logit-based Approach
Workflow Management System on Stratosphere