The Data Stack Show
Un podcast de Rudderstack
440 Épisodes
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19: Defining Data Governance with Stephen Bailey from Immuta
Publié: 06/01/2021 -
18: Data Science in Health Insurance with Jason Haupt of Bind
Publié: 31/12/2020 -
17: Working with Data at Netflix with Ioannis Papapanagiotou
Publié: 09/12/2020 -
16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest
Publié: 03/12/2020 -
15: Early Stage Analytics and Learning from the Y Combinator Experience with Axel Delafosse from Pool
Publié: 19/11/2020 -
14: Breaking Down Electronic Money Transfers and Modernizing Real Estate Transactions with Dan Jeffords of Earnnest
Publié: 11/11/2020 -
13: Building Open Source Products at Scale with Reza Shafii from Kong Inc.
Publié: 06/11/2020 -
12: Building a CDP on your Data Warehouse with Nicholas Ziech-Lopez of MessageGears
Publié: 28/10/2020 -
11: Why Modern Cyber Security is a Data Problem with Jack Naglieri of Panther Labs
Publié: 21/10/2020 -
10: The Evolution of the BI Market with Huy Nguyen of Holistics
Publié: 14/10/2020 -
09: Building the Operating System for Work with Ivan Kanevski of Slapdash
Publié: 07/10/2020 -
08: When data alone is not enough - Reinventing book shopping at Bookshop.org with Mason Stewart
Publié: 30/09/2020 -
07: Discussing Data Engineering Best Practices with IFTTT’s Peter Darche
Publié: 23/09/2020 -
06: The Technical Challenges and Opportunities of Building a Startup Inside a Large Bank with Sam Bledsoe of Ruby
Publié: 16/09/2020 -
05: The Convergence of Data Engineering and Marketing with Nic Discepoli of Ruby
Publié: 09/09/2020 -
04: Relational to Real-Time with Change Data Capture with DeVaris Brown of Meroxa
Publié: 02/09/2020 -
03: Turning All Data at Grofers into Live Event Streams
Publié: 27/08/2020 -
02: The Importance of Data During a Global Pandemic with Utkarsh Gupta of 1mg
Publié: 19/08/2020 -
01: Discussing Mattermost Data Infrastructure with Alex Dovenmuehle
Publié: 12/08/2020 -
00: Welcome to the Data Stack Show
Publié: 31/07/2020
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.