The Data Stack Show
En podcast af Rudderstack
Kategorier:
392 Episoder
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31: How a 160 Year-Old Publisher is Using Data with Jenna Lemonias From the Atlantic
Udgivet: 31.3.2021 -
30: The DataStack Journey with Rachel Bradley-Haas and Alex Dovenmuehle of Big Time Data
Udgivet: 24.3.2021 -
29: The Present and Future of Data Engineering with Joe Reis and Matthew Housley from Ternary Data
Udgivet: 17.3.2021 -
28: Next Gen Data Governance with Stefania from Avo
Udgivet: 10.3.2021 -
27: Building B2B Marketplaces with Mike Luby from LeafLink
Udgivet: 3.3.2021 -
26: Democratizing the Insurance Market with Daniel Gremmell from Policygenius Inc.
Udgivet: 24.2.2021 -
25: MLOps and Feature Stores with Willem Pienaar from Tecton
Udgivet: 17.2.2021 -
24: Demystifying AI with Duc Haba
Udgivet: 10.2.2021 -
23: Migrating from On-Premises to the Cloud with Alex Lancaster from Intuit
Udgivet: 3.2.2021 -
22: Season One Recap with Eric Dodds and Kostas Pardalis
Udgivet: 29.1.2021 -
21: Data Integrity and Governance with Patrick Thompson and Ondrej Hrebicek from Iteratively
Udgivet: 20.1.2021 -
20: Transforming the Real Estate Market with Predictive Analytics with Arian Osman from Homesnap
Udgivet: 13.1.2021 -
19: Defining Data Governance with Stephen Bailey from Immuta
Udgivet: 6.1.2021 -
18: Data Science in Health Insurance with Jason Haupt of Bind
Udgivet: 31.12.2020 -
17: Working with Data at Netflix with Ioannis Papapanagiotou
Udgivet: 9.12.2020 -
16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest
Udgivet: 3.12.2020 -
15: Early Stage Analytics and Learning from the Y Combinator Experience with Axel Delafosse from Pool
Udgivet: 19.11.2020 -
14: Breaking Down Electronic Money Transfers and Modernizing Real Estate Transactions with Dan Jeffords of Earnnest
Udgivet: 11.11.2020 -
13: Building Open Source Products at Scale with Reza Shafii from Kong Inc.
Udgivet: 6.11.2020 -
12: Building a CDP on your Data Warehouse with Nicholas Ziech-Lopez of MessageGears
Udgivet: 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.
