The Data Stack Show
Un pódcast de Rudderstack
Categorías:
392 Episodo
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31: How a 160 Year-Old Publisher is Using Data with Jenna Lemonias From the Atlantic
Publicado: 31/3/2021 -
30: The DataStack Journey with Rachel Bradley-Haas and Alex Dovenmuehle of Big Time Data
Publicado: 24/3/2021 -
29: The Present and Future of Data Engineering with Joe Reis and Matthew Housley from Ternary Data
Publicado: 17/3/2021 -
28: Next Gen Data Governance with Stefania from Avo
Publicado: 10/3/2021 -
27: Building B2B Marketplaces with Mike Luby from LeafLink
Publicado: 3/3/2021 -
26: Democratizing the Insurance Market with Daniel Gremmell from Policygenius Inc.
Publicado: 24/2/2021 -
25: MLOps and Feature Stores with Willem Pienaar from Tecton
Publicado: 17/2/2021 -
24: Demystifying AI with Duc Haba
Publicado: 10/2/2021 -
23: Migrating from On-Premises to the Cloud with Alex Lancaster from Intuit
Publicado: 3/2/2021 -
22: Season One Recap with Eric Dodds and Kostas Pardalis
Publicado: 29/1/2021 -
21: Data Integrity and Governance with Patrick Thompson and Ondrej Hrebicek from Iteratively
Publicado: 20/1/2021 -
20: Transforming the Real Estate Market with Predictive Analytics with Arian Osman from Homesnap
Publicado: 13/1/2021 -
19: Defining Data Governance with Stephen Bailey from Immuta
Publicado: 6/1/2021 -
18: Data Science in Health Insurance with Jason Haupt of Bind
Publicado: 31/12/2020 -
17: Working with Data at Netflix with Ioannis Papapanagiotou
Publicado: 9/12/2020 -
16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest
Publicado: 3/12/2020 -
15: Early Stage Analytics and Learning from the Y Combinator Experience with Axel Delafosse from Pool
Publicado: 19/11/2020 -
14: Breaking Down Electronic Money Transfers and Modernizing Real Estate Transactions with Dan Jeffords of Earnnest
Publicado: 11/11/2020 -
13: Building Open Source Products at Scale with Reza Shafii from Kong Inc.
Publicado: 6/11/2020 -
12: Building a CDP on your Data Warehouse with Nicholas Ziech-Lopez of MessageGears
Publicado: 28/10/2020
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.
