| Scalable Model-Based Management Of Correlated Dimensional Time Series In Modelardb(+) | 0 | 0.34 | 2021 |
| Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series | 0 | 0.34 | 2019 |
| Efficient Indexing of Hashtags Using Bitmap Indices. | 0 | 0.34 | 2019 |
| Travel-Time Computation Based on GPS Data. | 0 | 0.34 | 2019 |
| Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB. | 0 | 0.34 | 2019 |
| SimpleETL: ETL Processing by Simple Specifications. | 0 | 0.34 | 2018 |
| ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra. | 0 | 0.34 | 2018 |
| Analytical metadata modeling for next generation BI systems. | 0 | 0.34 | 2018 |
| ModelarDB: modular model-based time series management with spark and cassandra | 2 | 0.36 | 2018 |
| SM4MQ: A Semantic Model for Multidimensional Queries. | 1 | 0.35 | 2017 |
| Programmatic ETL. | 0 | 0.34 | 2017 |
| Time Series Management Systems: A Survey. | 18 | 0.83 | 2017 |
| Efficient Approximate OLAP Querying Over Time Series. | 2 | 0.36 | 2016 |
| Qb2olap: Enabling Olap On Statistical Linked Open Data | 3 | 0.39 | 2016 |
| Dimensional enrichment of statistical linked open data. | 1 | 0.35 | 2016 |
| Modeling and Analyzing Electric Vehicle Charging | 0 | 0.34 | 2016 |
| Modeling Large Time Series For Efficient Approximate Query Processing | 2 | 0.37 | 2015 |
| SpotADAPT: Spot-Aware (re-)Deployment of Analytical Processing Tasks on Amazon EC2 | 2 | 0.35 | 2015 |
| SM4AM: A Semantic Metamodel for Analytical Metadata | 4 | 0.43 | 2014 |
| An Advanced Data Warehouse for Integrating Large Sets of GPS Data | 1 | 0.48 | 2014 |
| ETLMR: a highly scalable dimensional ETL framework based on mapreduce | 23 | 1.61 | 2013 |
| Real-Time Business Intelligence in the MIRABEL Smart Grid System. | 3 | 0.63 | 2012 |
| 3XL: An Efficient DBMS-Based Triple-Store | 0 | 0.34 | 2012 |
| The ETLMR MapReduce-based ETL framework | 3 | 0.40 | 2011 |
| RiTE: Providing On-Demand Data for Right-Time Data Warehousing | 30 | 1.48 | 2008 |
