50: From Data Infrastructure to Data Management with Ananth Packkildurai episode artwork

EPISODE · Aug 25, 2021 · 58 MIN

50: From Data Infrastructure to Data Management with Ananth Packkildurai

from The Data Stack Show · host Rudderstack

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.

Episode metadata supplied by the publisher feed · Published Aug 25, 2021

This week on The Data Stack Show, Eric and Kostas get the chance to talk with Ananth Packkildurai, Zendesk’s principal data engineer and the author of the Data Engineering Weekly newsletter.

PodParley-generated summary based on available episode metadata and transcript content.

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50: From Data Infrastructure to Data Management with Ananth Packkildurai

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This episode was published on August 25, 2021.

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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...

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