Abstract: In the last few years, Data Science has become an increasingly important use case for data platforms. To support the full Big Data analysis lifecycle, we have examined one of the most popular exploratory data analytics tools, Pandas, which has a serious problem: scalability. Exploratory tools such as Pandas only work well against locally […]

Speaker: Hang Time: 12:30pm Room: 3011 We address issues in the design and operation of a Big Active Data Publish Subscribe (BAD Pub/Sub) systems to enable the next generation of enriched notification systems that can scale to societal levels. The proposed BAD Pub/Sub systems aim to ingest massive amounts of data from heterogeneous publishers and […]

Speakers:  Avinash Kumar,  Shengquan Ni, Zuozhi Wang   Abstract: Big data analytics is a daunting task for domain experts such as doctors and teachers. Their non-IT background makes it challenging for them to write analytics code and maintain computing infrastructures to efficiently process large amounts of data. Existing data analytics frameworks that offer GUI-based alternatives […]