Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
Advances in hardware, software and communication networks have enabled applications to generate data at unprecedented volume and velocity. An important type of this data are event streams generated from financial transactions, health sensors, web logs,…
Medical and Health Technology Innovations in medical and healthcare technology are among the most exciting and promising in technology research. Join us for a fascinating – and timely – live discussion about what’s new in…
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…
