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    Technology

    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.

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    Copyright: © 2021 The Data Stack Show

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    Latest Episodes:
    57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye Oct 13, 2021
    Show notes

    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 (28:38)
    • Determining SLAs (32:22)
    • How Bigeye brings different parties together and addresses natural communication barriers (36:42)
    • Looking at when an organization needs to implement data quality tooling (45:54)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    56: Stream Processing and Observability with Jeff Chao of Stripe Oct 06, 2021
    Show notes

    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. 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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs Sep 29, 2021
    Show notes

    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 (1:02:43)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel Sep 22, 2021
    Show notes

    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 (34:56)
    • Sub-second latencies and real-time use cases (49:05)
    • Career advice from Neil (1:02:02)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC Sep 15, 2021
    Show notes

    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 them (1:08:11)

    Follow the Data on Kubernetes Community at DoK.community and on Twitter at @DoKCommunity. You can follow Bart at @birthmarkbart.

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY Sep 08, 2021
    Show notes

    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 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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    51: Democratizing AI and ML with Tristan Zajonc of Continual Sep 01, 2021
    Show notes

    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 central component of data stack architecture (43:34)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    50: From Data Infrastructure to Data Management with Ananth Packkildurai Aug 25, 2021
    Show notes

    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 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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook Aug 18, 2021
    Show notes

    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 pipeline failure (19:50)
    • Defining data stacks (24:01)
    • A sample data stack for a young company (28:37)
    • Why Redshift and Snowflake have trended in the opposite direction (33:02)
    • BigQuery and Snowflake comparisons (36:06)
    • MLOps and whose responsibility is it (39:12)
    • Feast, Tecton, and feature stores (45:40)
    • Having a good community around an open source product (49:30)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    48: Season Two Recap with Eric Dodds and Kostas Pardalis Aug 11, 2021
    Show notes

    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 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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


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