Paige Roberts
About Paige Roberts
Paige Roberts serves as the Director of Product Innovation at thatDot, where she specializes in operationalizing machine learning and AIOps. With a diverse background in product marketing and technical consultancy, she has contributed to various publications and maintains an active online presence.
Work at thatDot
Paige Roberts serves as the Director of Product Innovation at thatDot, a position she has held since 2024. In this role, she focuses on advancing product strategies and innovations related to streaming analytics and graph databases. Based in Portland, Oregon, she has contributed to discussions on Akka to Pekko migration and has written about the release of thatDot Streaming Graph 1.6.1. Her expertise in operationalizing machine learning and AIOps plays a crucial role in her current responsibilities.
Education and Expertise
Paige Roberts holds a Bachelor of Science degree in Communication Sciences and Disorders from The University of Texas at Austin, which she completed from 1991 to 1996. She also earned an Associate of Science degree in Biology from Austin Community College in 1990. Her professional expertise includes operationalizing machine learning, AIOps, and building Hadoop clusters from bare metal. She possesses the ability to explain complex technical differences between various technologies, including Spark, Tez, MapReduce, Apex, and Flink.
Background
Paige Roberts has a diverse professional background in product marketing and management within the technology sector. Prior to her current role at thatDot, she worked at several notable companies, including Syncsort, OpenText, Hortonworks, and Actian Corporation. Her roles have ranged from Senior Product Marketing Manager to Consultant, where she has focused on data integration, data quality, analytics, and AI. Paige has also worked remotely from various locations, including Texas and New Jersey.
Achievements
Paige Roberts has made significant contributions to the field of data engineering and analytics. She co-authored the book '97 Things Every Data Engineer Should Know' published by O'Reilly and 'Up and Running with Aerospike.' Additionally, she collaborated with Ben Epstein on 'Accelerate Machine Learning with a Unified Analytics Architecture,' sponsored by Vertica. Paige maintains a personal blog on Medium and has an older blog titled 'Big Data Page by Paige,' where she shares insights on streaming analytics and graph databases.