Jennifer Ortiz

According to our database, Jennifer Ortiz authored at least 13 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Using formative assessment for improving pedagogy: reflections on feedback informing database visualizations.

Suzanne W. Dietrich, Don Goelman, Jennifer Broatch, Sharon M. Crook, Becky Ball, Kimberly Kobojek, Jennifer Ortiz

Inroads, 2020

2019

Performance-Based Service Level Agreements for Data Analytics in the Cloud.

Jennifer Ortiz

PhD thesis, 2019

An Empirical Analysis of Deep Learning for Cardinality Estimation.

Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi

CoRR, 2019

2018

SLAOrchestrator: Reducing the Cost of Performance SLAs for Cloud Data Analytics.

Jennifer Ortiz, Brendan Lee, Magdalena Balazinska, Johannes Gehrke, Joseph L. Hellerstein

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Learning State Representations for Query Optimization with Deep Reinforcement Learning.

Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

2017

The Myria Big Data Management and Analytics System and Cloud Services.

Jingjing Wang, Tobin Baker, Magdalena Balazinska, Daniel Halperin, Brandon Haynes, Bill Howe, Dylan Hutchison, Shrainik Jain, Ryan Maas, Parmita Mehta, Dominik Moritz, Brandon Myers, Jennifer Ortiz, Dan Suciu, Andrew Whitaker, Shengliang Xu

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

PerfEnforce: A Dynamic Scaling Engine for Analytics with Performance Guarantees.

Jennifer Ortiz, Brendan Lee, Magdalena Balazinska, Joseph L. Hellerstein

CoRR, 2016

PerfEnforce Demonstration: Data Analytics with Performance Guarantees.

Jennifer Ortiz, Brendan Lee, Magdalena Balazinska

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources.

Mahesh B. Chaudhari, Suzanne W. Dietrich, Jennifer Ortiz, Spencer Pearson

J. Syst. Softw., 2015

Changing the Face of Database Cloud Services with Personalized Service Level Agreements.

Jennifer Ortiz, Victor Teixeira de Almeida, Magdalena Balazinska

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

Big-Data Management Use-Case: A Cloud Service for Creating and Analyzing Galactic Merger Trees.

Sarah Loebman, Jennifer Ortiz, Lee Lee Choo, Laurel J. Orr, Lauren Anderson, Daniel Halperin, Magdalena Balazinska, Thomas Quinn, Fabio Governato

Proceedings of the Third Workshop on Data analytics in the Cloud, 2014

Demonstration of the Myria big data management service.

Daniel Halperin, Victor Teixeira de Almeida, Lee Lee Choo, Shumo Chu, Paraschos Koutris, Dominik Moritz, Jennifer Ortiz, Vaspol Ruamviboonsuk, Jingjing Wang, Andrew Whitaker, Shengliang Xu, Magdalena Balazinska, Bill Howe, Dan Suciu

Proceedings of the International Conference on Management of Data, 2014

2013

A vision for personalized service level agreements in the cloud.

Jennifer Ortiz, Victor Teixeira de Almeida, Magdalena Balazinska

Proceedings of the Second Workshop on Data Analytics in the Cloud, 2013