2 citations · 2 across the 5 of their papers we have counts for
6 papers
Guided Table Retrieval for Structured Data Search
Alekh Jindal, Jyoti Pandey, Christina Pavlopoulou +5
Answering natural language questions over structured databases requires identifying the relevant tables and determining how to join them---a task that demands both schema knowledge…
Reverse Migration of Cloud Applications to On-premises
Alekh Jindal, Jyoti Pandey, Christina Pavlopoulou +5
Cloud has become ubiquitous to modern applications due to its agility and scalability. However, regulated industries still prefer to deploy on-premises due to security and complian…
Generating Query Context for Relational Databases
Alekh Jindal, Jyoti Pandey, Christina Pavlopoulou +5
Relational databases are the systems of record for business applications, and there is growing demand to query them through natural language interfaces. A key challenge is that AI…
Making Databases Searchable with Deep Context
Alekh Jindal, Shi Qiao, Shivani Tripathi +15
Databases are the most critical assets for enterprises, and yet they remain largely inaccessible to people who make the most important decisions. In this paper, we describe the Tur…
Revisiting Runtime Dynamic Optimization for Join Queries in Big Data Management Systems
Christina Pavlopoulou, Michael J. Carey, Vassilis J. Tsotras
Query Optimization remains an open problem for Big Data Management Systems. Traditional optimizers are cost-based and use statistical estimates of intermediate result cardinalities…
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Philip A. Bernstein, Alex Raizman +1
Window aggregates are ubiquitous in stream processing. In Azure Stream Analytics (ASA), a stream processing service hosted by Microsoft's Azure cloud, we see many customer queries…