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Contenido proporcionado por Rudderstack. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Rudderstack o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde

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Manage episode 424370312 series 3264623
Contenido proporcionado por Rudderstack. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Rudderstack o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Highlights from this week’s conversation include:

  • Clint’s Background and Journey in Data (0:51)
  • Starting a Data Career (2:01)
  • Transition to Startup SaaS World (4:27)
  • Clint’s Connection to a Federal Reserve Database (5:31)
  • Challenges in Predictive Modeling (10:27)
  • Data Input Challenges (15:50)
  • Marketers' Workflow and Data Integration (18:29)
  • Soft ROI vs. Hard ROI in Data Analysis (00:21:31)
  • Balancing Internal Marketing and Data Team's Value (22:35)
  • Simplifying Data Inputs for Predictive Models (25:09)
  • Data Analysis Workflow and Tech Stack (29:06)
  • Open Data Formats and Impact on Data Platforms (34:40)
  • The S3 and Ecosystem Model (37:08)
  • In-browser SQL Queries with DuckDB (39:24)
  • Data Security Concerns and Solutions (41:47)
  • Clean Rooms and Data Sharing (43:32)
  • Final Thoughts and Takeaways (47:35)

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.

  continue reading

381 episodios

Artwork
iconCompartir
 
Manage episode 424370312 series 3264623
Contenido proporcionado por Rudderstack. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Rudderstack o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Highlights from this week’s conversation include:

  • Clint’s Background and Journey in Data (0:51)
  • Starting a Data Career (2:01)
  • Transition to Startup SaaS World (4:27)
  • Clint’s Connection to a Federal Reserve Database (5:31)
  • Challenges in Predictive Modeling (10:27)
  • Data Input Challenges (15:50)
  • Marketers' Workflow and Data Integration (18:29)
  • Soft ROI vs. Hard ROI in Data Analysis (00:21:31)
  • Balancing Internal Marketing and Data Team's Value (22:35)
  • Simplifying Data Inputs for Predictive Models (25:09)
  • Data Analysis Workflow and Tech Stack (29:06)
  • Open Data Formats and Impact on Data Platforms (34:40)
  • The S3 and Ecosystem Model (37:08)
  • In-browser SQL Queries with DuckDB (39:24)
  • Data Security Concerns and Solutions (41:47)
  • Clean Rooms and Data Sharing (43:32)
  • Final Thoughts and Takeaways (47:35)

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.

  continue reading

381 episodios

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