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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

00:49:45

58: Data Federation is No Longer The "F" Word with...

The Data Stack Show ·

2021/10/20

Highlights from this week’s conversation include:Solving problems with data has been a long-time passion of Scott’s (2:52)Day-to-day use of data at InterSystems (6:25)The technical aspects involved in constructing a data fabric (17:52)Companies at a variety of maturity levels can adopt a data fabric (26:49) A paradigm shift in the marketplace (28:39)Comparing and contrasting data fabric and data mesh (30:49)Sharing data across the business and not having it siloed in different departments

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00:06:55

Data Debrief: Can Tools Help Solve Data Quality...

The Data Stack Show ·

2021/10/15

On this Data Debrief, Eric and Kostas are joined by Brian from Rudderstack to talk about Data Quality.

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00:56:07

57: Improving Data Quality Using Data Product SLAs...

The Data Stack Show ·

2021/10/13

Highlights from this week’s conversation include:Egor’s software engineering background and history with Uber (2:19)Experimentation platforms and analytics definitions (7:49)Bigeye’s function and use cases (9:40)Managing the relationship between the data engineer maintaining the pipelines and the downstream teams providing the context (18:49)Pinpointing problems in data compared to problems in software (21:55)Defining data quality at Bigeye (24:13)Machine learning models as a data product

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01:03:55

56: Stream Processing and Observability with Jeff...

The Data Stack Show ·

2021/10/06

Highlights from this week’s conversation include:Jeff’s history with stream processing (2:52)Working with Mantis to address the impact of Netflix downtime (4:20)Defining observability as operational insight (6:58)Time series data and the value of data today (18:52)Data integration’s shift from batch to streaming (29:34)The current state of change data capture (32:20)How an engineer thinks of the end-user (56:21)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers

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01:06:48

55: Tables vs. Streams and Defining Real-Time with...

The Data Stack Show ·

2021/09/29

Highlights from this week’s conversation include:Pete’s background in data engineering and capital market trading (2:10)Comparison of the tooling from 2012 when Deephaven started with that of today (10:30)Taking a closer look at defining real-time data (19:47)Getting non-technical people, clients, and developers all on the same platform (36:11)Deephaven’s incremental update model (40:25)Kafka, timely data flow, and Deephaven (44:22)Use cases for Deephaven (51:52)Going to GitHub to try out Deephaven

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01:08:53

54: The Center of the Modern Data Stack with Neil...

The Data Stack Show ·

2021/09/22

Highlights from this week’s conversation include:Neil’s programming hobby turned into a career and how he cold-contacted Mixpanel for a job (2:28)Lessons learned from nine years at Mixpanel (5:05)Defining product analytics (8:06)How Mixpanel has evolved into the product it is today (10:56)The importance of Mixpanel’s real-time analysis (19:52)Looking at Arb, Mixpanel’s own arbitrary segmentation database (23:44)The business impact that the rise of the cloud data warehouse had on Mixpanel

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01:20:05

53: What Religion, a Cult, and a Tech Product Have in...

The Data Stack Show ·

2021/09/15

Highlights from this week’s conversation include:Bart’s journey from southern California, to New York, to Egypt, to London, to Spain (3:31)Exposure to different communities and finding shared language and experience (10:21)Looking back at early online communities and how they furthered your learning journey (27:50)How the level of niche-ness impacts a community (44:06)The cautionary tale of WeWork (57:28)Surefire community killers (1:03:44)Open source communities in tech and the passion that drives

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01:08:53

52: Discussing Data Warehouses, Lakes, and Meshes...

The Data Stack Show ·

2021/09/08

Highlights from this week’s conversation include:James’ background at Microsoft and current work with EY’s data fabric (2:22)The external and internal facing components of EY’s data fabric (6:39)The importance of the data lineage (11:29)The most important requirements for data quality (15:32)Looking at the data capabilities of Microsoft (21:30)The data warehouse, explained (29:00)Using a data warehouse or a data lake (34:33)Defining the buzzword data mesh (51:13)The problem with data mesh (59:31)The

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00:54:50

51: Democratizing AI and ML with Tristan Zajonc of...

The Data Stack Show ·

2021/09/01

Topics in this wide-ranging conversation include: Tristan’s background with Cloudera and the need for continual operational ML and AI (3:15)How the complexity of Continual is hidden behind a simplicity of use (14:48)Focusing on data that lives within a data warehouse (18:43)Understanding features in the ML conversation (22:47)The three layers of Continual (26:11)The importance of SQL to Continual (30:19)Caching layers and the data warehouse centric approach (38:28)Betting on the warehouse being a

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00:58:44

50: From Data Infrastructure to Data Management with...

The Data Stack Show ·

2021/08/25

Highlights from this week’s episode:Ananth’s background (2:51)The evolution of Slack (4:54)Kafka and Presto’s two of the most reliable and flexible tools for Ananth (9:43)How Snowflake gained an advantage over Presto (13:24)Opinions about data lakes (17:23)Core features of data infrastructure (23:22)The tools define the process, and not the other way around (31:30)Defining a data mesh (36:44)Data is inherently social in nature (40:31)Lessons learned from writing Data Engineering Weekly (49:14)The

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00:55:09

49: MLops - The Finalization of the Data Stack with...

The Data Stack Show ·

2021/08/18

Topics in this conversation include: Ben's background and his shift to data engineering (2:19)Trends in the data space: finding the most efficient tools, the Snowflake phenomenon, and keeping up with new functionalities (5:33)Key differences in data practices in small companies and Facebook-sized companies (12:38)Having to build tools specifically designed for Facebook because of SaaS product limitations (16:00)Team structure at Facebook (18:17)Developing more robust systems that are resistent to

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00:32:45

48: Season Two Recap with Eric Dodds and Kostas Pardalis

The Data Stack Show ·

2021/08/11

Highlights from this week’s episode:Dissecting the different team structures from organizations in season two (1:16)The people behind the data are key to the data itself (9:17)Open source licensing and the core components needed for large scale commercial viability (15:13)Game-changing core technologies in the new data economy (22:09)Snowflake vs. Databricks battle. "The UFC of Geeks" (25:54)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk

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00:51:05

47: Taming the Four Dragons of Data with Sven...

The Data Stack Show ·

2021/08/04

Highlights from this week’s episode include:Sven's Ph.D. in Singularity Theory (2:59)The Databricks vs. Snowflake conversation (8:17)The difficulty of not just inventing something new, but making it accessible (18:01)Databricks and unstructured data (22:22)Organizational change responding to technological change (29:27)The three-dimensional evolution of a successful open source project (40:31)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk

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00:56:12

46: A New Paradigm in Stream Processing with Arjun...

The Data Stack Show ·

2021/07/28

Highlights from this week’s episode include:Introducing Arjun and how he fell in love with databases (2:51)Looking at what Materialize brings to the stack (5:28)Analytics starts with a human in the loop and comes into its own when analysts get themselves out and automate it (15:46)Using Materialize instead of the materialized view from another tool (18:44)Comparing Postgres and Materialize and looking at what's under the hood of Materialize (23:16)Making Materialize simple to use (32:33)Why

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00:55:59

45: Open Source and Attribution with Ophir Prusak of...

The Data Stack Show ·

2021/07/21

Highlights from today's conversation include:Ophir's decision to switch from software engineering to marketing and riding the startup train (2:39)Open sourcing in the world of software (5:55)How open source has changed Ophir's life as a marketeer working at startups (10:28)Chartio's sunsetting drove Ophir to search for a data tooling replacement (27:27)Discussing trends in adoption of tools for small scale and large scale companies (35:01)Data challenges related to attribution--how wrong do you want

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00:57:33

44: Leveraging Data in a Post-Covid World with Ruben...

The Data Stack Show ·

2021/07/14

Highlights from this week's episode: Ruben's background (2:36)Massive shifts in data caused by COVID (4:47)Big Tech is no longer untouchable (9:54)Accelerations in the BI space (15:17)A focus on people and on trust (23:43)Numbers are filtered by the biases of the people viewing them (28:46)AI trends and adoption (38:06)Using qualitative data for insights, particularly at early stages (40:56)Recommendations for taking stock of who is using the data and assessing what their skills are (50:06)The Data

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00:46:00

43: Modern Authentication and User Management with...

The Data Stack Show ·

2021/07/07

Highlights from this week's episode:Sokratis' realization that big corporations were not the best thing for him (2:56)Transitioning for Workable to Clerk.dev (3:40)Convincing developers to outsource components to a service (9:36)Clerk's layered solutions and how it affects the developer and the end-user (12:41)Starting with Clerk from scratch vs. using Clerk to replace an existing component (19:55)Synergies and SaaS starter kit (24:06)Building Clerk to avoid a single point of failure

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00:52:53

42: Scaling Data Science with Ryan Boyer of Shipt

The Data Stack Show ·

2021/06/30

Highlights from this week’s episode include:Ryan's full circle path from stocking shelves at Target to using data science for a company owned by Target (2:00)Building great tools and wielding them effectively (5:04)Changes at Shipt since being acquired (9:29)How people’s bias impacts models built by data scientists (12:30)The different data sources Shipt incorporates (22:02)How Ryan's work as a data scientist has changed as Shipt has grown (25:29)How data science helps marketing (31:38)Improving

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00:50:20

41: Doing MLOps on Top of Apache Pulsar and Trino...

The Data Stack Show ·

2021/06/23

Highlights from this week’s episode:Joshua started his first company at age 15 and then sold two more startups after that (2:15)Embracing the open source movement and not reinventing the wheel if you don't have to (12:15)Pulsar seemed built to address Kafka's weaknesses (17:23)Using Redis as a coordinator for federated learning and taking advantage of its portability (23:05)The pillars of Pandio and some practical use cases (31:24)Feature stores and model versioning (38:23)Seeing Pulsar as the

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00:57:46

40: Graph Processing on Snowflake for Customer...

The Data Stack Show ·

2021/06/16

Highlights from this week’s episode include:Launching Affinio and the engineering backgrounds of the co-founders (2:36)The massive transformation in customer data privacy regulation in the past eight years (6:23)Creating the underpinning technology that can apply to any customer behavioral data set (10:05)Ranking and scoring surfing patterns and sorting nodes and edges (14:13)Placing the importance of attributes into a simple UI experience (19:28)Going from a columnar database to a graph processing

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