Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Python has become overwhelmingly popular for ad-hoc data analysis, and Pandas dataframes have quickly become the de facto standard API for data science. However, performance and scaling to large datasets remain significant challenges. This is…
Database administrators (DBAs) were traditionally responsible for optimizing the on-premise database workloads. However, with the rise of cloud data services where cloud providers offer fully managed data processing capabilities, the role of a DBA is…
The last decade has witnessed a tremendous interest in large scale data processing, and consequently the rise of so called big data systems. Apart from handling the scale and complexity of big data, it is…
We are witnessing the rise of declarative big data systems. Examples include Hive, Spark, and Flink in the open source, and BigQuery, BigSQL, and SCOPE among proprietary systems. These systems take the declarative user queries…
The GSL team designs, develops, and evaluates novel database system technologies, with a focus on transitioning the best ideas into Azure Data product lines.
The goal of ezPitch is connecting salespersons and customers through relevant news. Why is this important? In the daily work, the sales persons need to search, track and explore the related news about customers before…
The Data2Text project aims to automatically generate fluent and fact-based descriptions or utterances given a data table. Typical business applications for text generation include the generation of financial and sports news stories, the generation of…
Authors: Alekh Jindal (Microsoft); Venkatesh Emani (Microsoft); Maureen Daum (University of Washington); Olga Poppe (Microsoft); Brandon Haynes (Microsoft); Anna Pavlenko (Microsoft); Ayushi Gupta (IIIT Delhi); Karthik Ramachandra (Microsoft Research India); Carlo Curino (Microsoft — GSL);…
