Data Engineering Podcast
This show covers the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
- Website
- https://www.dataengineeringpodcast.com
- Description
- The Show About Modern Data Management
- Support
- Flattr this!
- Language
- 🇬🇧 English
- last modified
- 2025-01-14 00:04
- last episode published
- 2025-01-13 01:09
- publication frequency
- 6.42 days
- Contributors
- Tobias Macey
- Author
- Tobias Macey
- Owner
- Explicit
- false
- Number of Episodes
- 457
- Rss-Feeds
- Detail page
- Categories
- Education Careers Software How-To Technology Business Training
Recommendations
Episodes
| Date | Title & Description | Contributors |
|---|---|---|
| 2025-01-13 | SummaryIn this episode of the Data Engineering Podcast Andrew Luo, CEO of OneSchema, talks about handling CSV data in business operations. Andrew shares his background in data engineering and CRM migration, which led to the creation of OneSchema, a pla... |
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| 2025-01-03 |
Breaking Down Data Silos: AI and ML in Master Data Management SummaryIn this episode of the Data Engineering Podcast Dan Bruckner, co-founder and CTO of Tamr, talks about the application of machine learning (ML) and artificial intelligence (AI) in master data management (MDM). Dan shares his journey from working ... |
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| 2024-12-23 | SummaryIn this episode of the Data Engineering Podcast Lior Barak shares his insights on developing a three-year strategic vision for data management. He discusses the importance of having a strategic plan for data, highlighting the need for data teams... |
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| 2024-12-16 | SummaryThe core task of data engineering is managing the flows of data through an organization. In order to ensure those flows are executing on schedule and without error is the role of the data orchestrator. Which orchestration engine you choose impac... |
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| 2024-12-08 |
An Exploration Of The Impediments To Reusable Data Pipelines SummaryIn this episode of the Data Engineering Podcast the inimitable Max Beauchemin talks about reusability in data pipelines. The conversation explores the "write everything twice" problem, where similar pipelines are built without code reuse, and di... |
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| 2024-12-01 | SummaryIn this episode of the Data Engineering Podcast Sam Kleinman talks about the pivotal role of databases in software engineering. Sam shares his journey into the world of data and discusses the complexities of database selection, highlighting the ... |
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| 2024-11-26 | SummaryIn this episode of the Data Engineering Podcast, Anna Geller talks about the integration of code and UI-driven interfaces for data orchestration. Anna defines data orchestration as automating the coordination of workflow nodes that interact with... |
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| 2024-11-18 |
Streaming Data Into The Lakehouse With Iceberg And Trino At Going In this episode, I had the pleasure of speaking with Ken Pickering, VP of Engineering at Going, about the intricacies of streaming data into a Trino and Iceberg lakehouse. Ken shared his journey from product engineering to becoming deeply involved in d... |
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| 2024-11-11 |
An Opinionated Look At End-to-end Code Only Analytical Workflows With Bruin SummaryThe challenges of integrating all of the tools in the modern data stack has led to a new generation of tools that focus on a fully integrated workflow. At the same time, there have been many approaches to how much of the workflow is driven by co... |
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| 2024-11-04 |
Feldera: Bridging Batch and Streaming with Incremental Computation SummaryIn this episode of the Data Engineering Podcast, the creators of Feldera talk about their incremental compute engine designed for continuous computation of data, machine learning, and AI workloads. The discussion covers the concept of incrementa... |
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