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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

00:57:40

95: How the Metrics Layer Bridges the Gap Between...

The Data Stack Show ·

2022/07/13

Highlights from this week’s conversation include:Nick’s background and career journey (2:40)What Transform does (5:53)Metrics layer vs. metrics store (8:04)Signals vs. metrics (13:24)The user of a metric layer (14:34)Using Transform within an organization (17:05)How to fuse two sources into a metric (23:54)Currently supported databases (28:46)Community engagement (31:33)Optimizing for queries, metrics, and use cases (35:33)Technology and the human factor (40:49)Managing metrics amidst fast-paced

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00:03:55

The PRQL: Data Marts Aren’t Just for the Enterprise

The Data Stack Show ·

2022/07/08

Eric and Kostas preview their upcoming conversation with Nick Hansel from Transform.

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01:02:36

94: Notebooks Aren’t Just for Data Scientists With...

The Data Stack Show ·

2022/07/06

Highlights from this week’s conversation include:Bary’s background and Hex (3:05)Reconciling two sides of data (9:16)Collaboration at Hex (15:10)What it takes to build something like Hex (20:02)Defining “commitment engineering” (26:01)How to begin working with Hex (30:56)Hex customers and uniqueness (40:31)The future in a world of data acquisition (45:30)Crossover between analytics and ML (51:33)Advice for data engineers (57:19)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP

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00:03:41

The PRQL: Have You Ever Been a Part of a Company That...

The Data Stack Show ·

2022/07/01

Eric and Kostas preview their upcoming conversation with Barry McCardel of Hex Technologies.

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01:04:46

93: There Is No Data Observability Without Lineage...

The Data Stack Show ·

2022/06/29

Highlights from this week’s conversation include:Kevin’s background and career journey (1:54)Metaplane and the problem that is solves (6:47)The silence of data problems (9:53)Data physics work that requires more (13:35)Trusting data when bugs are present (19:12)Building a navigable experience (22:36)Developing anomaly detection (30:06)What Metaplane provides today (35:05)Metaplane’s plans for the future (37:45)Comparing Bigquery, Snowflake, and Redshift (40:56)Why data goes bad (48:15)Advice for

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00:03:25

The PRQL: What Are the Similarities Between VCs and...

The Data Stack Show ·

2022/06/24

Eric and Kostas preview their upcoming conversation with Kevin Hu of Metaplane.

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00:55:36

92: Building a Decentralized Storage System for Media...

The Data Stack Show ·

2022/06/22

Highlights from this week’s conversation include:Tejas’ background and career journey (2:49, 43:04)Digital collaboration with Netflix Drive (7:57)A formal version control component (23:44)Centralized store vs. local affairs (31:05)The different skill sets a data engineer needs (37:38)How to get into data engineering (40:57)New technologies coming into day-to-day work (44:39)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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00:02:51

The PRQL: What is Netflix Cloud?

The Data Stack Show ·

2022/06/17

Eric and Kostas preview their upcoming conversation with Tejas Chopra of Netflix.

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01:00:20

91: The Future of Streaming Data with Stripe,...

The Data Stack Show ·

2022/06/15

Highlights from this week’s conversation include:How we should think about batch versus streaming (6:02)Defining “streaming ETL” (9:34)A brief history of streaming processing platforms (22:07)The birth and evolution of Benthos (28:41)What led Jeff to build a new tool (34:29)Why you shouldn’t share all the data (37:23)Making streaming technologies approachable to engineers (42:09)Breaking out of traditional terminology (52:58)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for

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00:02:34

The PRQL: Can Streaming Simplify Your Data Flows?

The Data Stack Show ·

2022/06/10

Eric and Kostas preview their upcoming livestream panel talking about all things streaming. Don't miss next week's episode with experts from Stripe, Deephaven, Materialize and Benthos

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00:56:34

90: The Modern Data Stack Has a Join Problem with...

The Data Stack Show ·

2022/06/08

Highlights from this week’s conversation include:Ahmed’s background and career journey (2:27)Why the modern data stack “sucks” (4:53)The limitations of progress (9:13)Showing data with only 11 columns (11:55)Managing one table that rules them all (19:02)Viewing the world as timestamped activities (32:40)When this model becomes harder to use (35:15)The two parts you need in a company (44:41)Those who use Narrator (48:32)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for

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00:05:15

The PRQL: Can One Table Rule Them All?

The Data Stack Show ·

2022/06/03

Eric and Kostas preview their upcoming episode with Ahmed Elsamadisi of Narrator AI.

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00:51:40

89: Solving Microservice Orchestration Issues at...

The Data Stack Show ·

2022/06/01

Highlights from this week’s conversation include:Viren’s background and career journey (2:23)Engineering challenges in Netflix transitions (6:05)How Conductor changed the process (9:30)Building a lot more microservices (16:04)Open sourcing Conductor (17:38)Defining “orchestration” (22:05)Using an orchestrator written in Java (31:04)Building a cloud service around microservices (34:59)Differentiating product experiences (37:17)Orchestration platforms in new environments (42:15)Advice for those early

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00:04:08

The PRQL: What are the Different Flavors of...

The Data Stack Show ·

2022/05/27

Eric and Kostas preview their upcoming conversation with Viren Baraiya of Orkes.

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01:01:46

88: What Is Data Observability? With Tristan...

The Data Stack Show ·

2022/05/25

Highlights from this week’s conversation include:Tristan’s background and career journey (2:43)Updating old technology (11:40)Defining “data observability” (18:44)The primary user of a data observability tool (29:56)Handling an incident (33:01)Why multipliers for data observability (37:06)Early symptoms of a data drift (43:12)Tuning in the context of data engineering (50:11)What keeps Tristan working with data (55:12)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for

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00:03:41

The PRQL: Does Data Exist if We Do Not Observe It?

The Data Stack Show ·

2022/05/20

Eric and Kostas preview their upcoming conversation with Tristan Spaulding of Acceldata.

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00:58:08

87: Why Is Now the Golden Age of Data Analytics? With...

The Data Stack Show ·

2022/05/18

Highlights from this week’s conversation include:Cindi’s career journey (2:36)Major shifts in analytics (6:34)Where we are in formation of the modern analytics cloud (9:07)The process of moving into the cloud (11:01)How to accelerate the digital transformation (17:29)Common patterns amongst company cultures (19:42)Data regulations affecting change (22:34)ThoughtSpot customer base (24:06)The need to know SQL (27:42)Power users leveraging the AI Insights (31:24)Who should audit technology (32:33)The

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00:03:17

The PRQL: Can You Trust AI Enabled Analytics?

The Data Stack Show ·

2022/05/13

Eric and Kostas preview their upcoming conversation with Cindi Howson of ThoughtSpot and Host of The Data Chief Podcast.

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00:58:40

86: Solving the Data Quality Problem with Bigeye,...

The Data Stack Show ·

2022/05/11

Highlights from this week’s conversation include:Guest introductions (1:02)Defining data quality (4:08)Forgetting to apply software best practices (8:33)Differentiating observability and data quality (17:53)Who should care about quality in the organization (26:55)Why this is still a valid conversation (35:44)The jurisdiction of various components (45:39)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

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00:51:39

85: You Can Stop Doing Data Fire Drills with Barr...

The Data Stack Show ·

2022/05/04

Highlights from this week’s conversation include:Barr’s background and career journey (2:12)Trust: a technical or human problem? (9:47)Behind the name “Monte Carlo” (15:41)Defining data accuracy and reliability (17:36)How much can be done with standardization (22:27)How to avoid frustration when generating data about data (25:49)Defining “resolution” (28:59)Understanding the concept of SLAs (33:25)Building a company for a category that doesn’t exist yet (37:40)What it looks like to use Monte Carlo

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