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PODCAST

The Data Stack Show

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.

technology management

All Episodes

01:05:51

78: The Etymology of Reverse ETL & Why It’s a Key...

The Data Stack Show ·

2022/03/09

Highlights from this week’s conversation include:Boris’ background career journey (2:32)The origins of “reverse ETL” (6:39)Reverse Fivetran (16:35)Product as an experience (22:41)Fivetran users vs Census users (24:14)How to add value to a data dump (26:56)Ways companies are creating IP (33:48)The cascade effect of the modern data stack (37:56)Defining “data federation” (43:51)Lessons from building a product (49:10)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for

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00:03:06

The PRQL: Reverse ETL and the Distinction Between...

The Data Stack Show ·

2022/03/04

Eric and Kostas preview their upcoming conversation with Borris Jabes of Census.

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01:00:55

77: Standardizing Unstructured Data with Verl Allen...

The Data Stack Show ·

2022/03/02

Highlights from this week’s conversation include:Verl’s career journey (2:46)M&A data evaluation criteria (7:12)What Claravine does (10:48)The breadth of data (15:03)Adding to content and advertising data (18:22)How Claravine standardizes data (23:53)Designing a data model (25:40)The underlying technologies of building a product (33:43)The main consumer (35:02)Maintaining quality (39:06)Helping solidify definitions (41:37)Implementing Claravine’s model across various companies (44:54)Internal

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00:06:19

The PRQL: If Everything Is Data, How Can We Make...

The Data Stack Show ·

2022/02/25

Eric and Kostas preview their upcoming conversation with Verl Allen of Claravine.

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00:51:43

76: Why a Data Team Should Limit Its Own Superpowers...

The Data Stack Show ·

2022/02/23

Highlights from this week’s conversation include:Sean’s career journey (3:27)Optimization and localized testing results (7:49)Denying potential access to more data (13:46)Other dimensions data has (18:32)The other side of capturing events (20:55)Data equivalent of API contracts (25:03)SDK restrictiveness for developers (27:40)How to know if you’re still sending the right data (30:38)Debugging that starts in a client of a mobile app (36:08)Communicating about data (38:36)The next phase of tooling

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00:04:00

The PRQL: How Important Is the Human Factor When...

The Data Stack Show ·

2022/02/18

Eric and Kostas preview their upcoming show with Sean Halliburton of Warnermedia.

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00:58:56

75: How To Become a Data Engineer with Parham...

The Data Stack Show ·

2022/02/16

Highlights from this week’s conversation include:Par’s background and current role (2:48)About Talend (6:46)Nonlinear pathways to data engineering roles (11:08)What a data engineer needs to be successful (17:37)Before “data engineer” was a title (27:59)Signs you should be a data engineer (32:39)Curiosity and data engineering (38:31)Defining the modern data stack (45:07)How to get a feel for data engineering (52:52)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for

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00:03:48

The PRQL: Can We Define the Role of the Data Engineer...

The Data Stack Show ·

2022/02/11

In this PRQL, Eric and Kostas preview their upcoming conversation with Parham Parvizi of tura.io.

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00:44:59

74: Kostas Respawns at Starburst, is Interviewed by...

The Data Stack Show ·

2022/02/09

Highlights from this week’s conversation include:Big News: podcast hits, Kostas’ career change (2:19)Kostas’ career start in data pipelines (4:09)The Winamp and Napster era (11:46)Starting an API gateway (16:56)Observing new technology from afar (23:43)Starting Blendo (32:38)Problems faced in architecting the product (37:12)Kostas’ role at Starburst (40:25)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

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00:03:13

The PRQL: What Prompts a Conversation About Winamp &...

The Data Stack Show ·

2022/02/04

Eric and Kostas preview some exciting news coming up on episode 74 of the Data Stack Show.

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00:56:53

73: What a High Performing Data Team (and Stack)...

The Data Stack Show ·

2022/02/02

Highlights from this week’s conversation include:Paige’s career path (2:44)Paige’s role and responsibilities at Netlify (6:38)Sharing data insights (8:55)Scope in the context of delivering an insight (12:39)Defining “insight” (15:10)Where the client journey begins (16:43)Miscommunication because of vague terminology (20:06)Netlify’s internal knowledge repository (23:01)Breaking down Netlify’s hub and spoke model (30:45)What data tools to use and when (35:21)The metric layer and BI (44:17)Next steps

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00:03:52

The PRQL: How High Performing Data Teams Put Tooling...

The Data Stack Show ·

2022/01/28

This week on the PRQL, Eric and Kostas discuss tooling as they preview the upcoming show with Paige Berry of Netlify.

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00:55:02

72: Building Data Ops Into the Data Lifecycle with...

The Data Stack Show ·

2022/01/26

Highlights from this week’s conversation include:Douwe’s career journey (3:04)The missing piece in GitLab’s data tooling (7:35)The open-source offering in the data space (12:38)Singer’s connection with Meltano (22:31)How Meltano manages connectors on a diverse codebase (35:21)The data house side of Meltano (39:47)Data house operating versus Airflow (44:06)Meltano’s vision present today (47:02)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk

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00:06:00

The PRQL: Is It Viable to Manage Integrations Open...

The Data Stack Show ·

2022/01/21

Eric and Kostas preview the upcoming show featuring Douwe Maan of Meltano.

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00:57:23

71: ETL at the Edges with Jimmy Chan of Dropbase

The Data Stack Show ·

2022/01/19

Highlights from this week’s conversation include:Jimmy’s career background (3:01)How to use Data cubes (5:52)What Dropbase is and who it is built for (11:01)Getting sales and marketing data in usable formats (16:46)Ensuring data remains flexible and transferable (28:36)Defining what “offline data” is and how to use it (34:09)How Dropbase can work with the rest of the data stack (43:30)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data

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00:05:33

The PRQL: Is Kostas an Excel Power User Yes/No?

The Data Stack Show ·

2022/01/14

Eric and Kostas preview the upcoming conversation with Jimmy Chan of Dropbase.

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01:00:12

70: The Difference Between Data Lakes and Data...

The Data Stack Show ·

2022/01/12

Highlights from this week’s conversation include:Vinoth’s career background (3:19)Building a data lake at Uber (6:52)Defining what a data lake is (14:01)How data warehouses differ from data lakes (22:46)When you should utilize an open source solution in your datastack (37:36)Evolving from a data warehouse to a data lake (45:09)Early wins Hudi earned inside of Uber (52:30)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers,

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00:04:37

The PRQL: What Old Tech Concepts Were Borrowed to...

The Data Stack Show ·

2022/01/07

Eric and Kostas preview the upcoming show as they talk about data lakes and data warehouses and why these are important.

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01:03:31

69: What is the Modern Data Stack?

The Data Stack Show ·

2022/01/05

Highlights from this week’s conversation include:Panel introductions and backgrounds (2:55)What the modern data stack means to each of our panelists (5:04)Defining the fundamental components of a modern data stack (17:22)How the modern stack drives insights and actions for businesses (28:03)Getting to a uniform definition to the modern stack (33:45)Managing the modernization of a large scale data stack (39:09)How testing works in the dbt context (48:44)The relationship between the data warehouse and

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00:04:30

The PRQL: Should Data Trust Drive the Evolution of...

The Data Stack Show ·

2021/12/31

In this PRQL, Eric and Kostas preview their upcoming show where they discuss the modern data stack with some of the top experts in the industry.

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