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Listen "179: Time Series Data Management and Data Modeling with Tony Wang of Stanford University"
Episode Synopsis
Highlights from this week’s conversation include:Tony's background and research focus (3:35)Challenges in academia and industry (6:15)Ph.D. student's routine (10:47)Academic paper review process (15:26)Aha moments in research (20:05)Academic lab structure (23:09)The decision to move from hardware to data research (24:43)Research focus on time series data management (27:40)Data modeling in time series and OLAP systems (32:01)Issues and potential solutions for parquet format (37:32)Role of external indices in parquet files (42:19)Tony's open source project (47:11)Final thoughts and takeaways (49:30)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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