At ClearStory Data, one of our strengths is combining data from many sources for self-service analysis. This talk will be about experiences and architecture accessing and formatting data for cloud storage, access, and analysis. This talk will include stories from projects modernizing data systems which have been in use, and depended upon, for decades, including systems supporting some of the biggest household names. Some complex use cases include joining many data sets from many sources, including data at varying levels of aggregation, or data only joinable across 10+ data sets. It will include descriptions of quick turnarounds reading APIs and consuming data via HTTP. It will also include some usability decisions in the product, including affordances available based on data types detected, to make data harmonization and exploration more self-service for users.
Getting Data Together
Monday, October 23, 2017 - 4:30 pm
Solutions Architect
ClearStory Data
Katherine Ahern is a Solutions Architect at ClearStory Data, where she specializes in implementation of data acquisition tools and strategies. Before coming to ClearStory she worked on a web-based analytics tool for departments of transportation (including Caltrans), did analysis and reporting for emergency room operations at MedAmerica, and was a research and development engineer at PATH, a transportation research unit at U.C. Berkeley. She holds a master's degree in Information Management and Systems from U.C. Berkeley, and a bachelor's degree in Philosophy from U.C. Santa Cruz.