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
- 2024-05-13 10:34
- last episode published
- 2024-05-12 17:00
- publication frequency
- 6.27 days
- Contributors
- Tobias Macey
- Author
- Tobias Macey
- Owner
- Explicit
- false
- Number of Episodes
- 429
- Rss-Feeds
- Detail page
- Categories
- Education Careers Software How-To Technology Business Training
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Episodes
| Date | Title & Description | Contributors |
|---|---|---|
| 2024-05-12 | Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. The services and systems need to be kept up to d... |
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| 2024-05-05 |
Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach Summary Artificial intelligence has dominated the headlines for several months due to the successes of large language models. This has prompted numerous debates about the possibility of, and timeline for, artificial general intelligence (AGI). Peter Vo... |
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| 2024-04-28 | Summary Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration... |
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| 2024-04-21 | Summary Generative AI has rapidly transformed everything in the technology sector. When Andrew Lee started work on Shortwave he was focused on making email more productive. When AI started gaining adoption he realized that he had even more potential fo... |
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| 2024-04-14 | Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB... |
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| 2024-04-07 |
Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case,... |
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| 2024-03-31 |
Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary Summary Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While ... |
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| 2024-03-24 |
Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+ Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. With their launch of Dagster+ as the redesigned commercial companion to the open sou... |
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| 2024-03-17 | Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destinat... |
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| 2024-03-10 | Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. The primary purpose of the catalog is ... |
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