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Data Engineering Podcast

This show goes behind the scenes for the tools, techniques, and difficulties associated with the dis

Episodes

Total: 449

Summary Data integration from source systems to their downstream destinations is the foundational st

Summary Regardless of how data is being used, it is critical that the information is trusted. The pr

Summary In order to improve efficiency in any business you must first know what is contributing to w

Summary There is a constant tension in business data between growing siloes, and breaking them down.

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains

Summary Any business that wants to understand their operations and customers through data requires s

Summary Data observability is a product category that has seen massive growth and adoption in recent

Summary The global climate impacts everyone, and the rate of change introduces many questions that b

Summary The dream of every engineer is to automate all of their tasks. For data engineers, this is a

Summary AirBnB pioneered a number of the organizational practices that have become the goal of moder

Summary Data has permeated every aspect of our lives and the products that we interact with. As a re

Summary The position of Chief Data Officer (CDO) is relatively new in the business world and has not

Summary Data engineers have typically left the process of data labeling to data scientists or other

Summary Data is useless if it isn’t being used, and you can’t use it if you don’t

Summary Data mesh is a frequent topic of conversation in the data community, with many debates about

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be u

Summary Exploratory data analysis works best when the feedback loop is fast and iterative. This is e

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dep

Summary The current stage of evolution in the data management ecosystem has resulted in domain and u

Summary Data engineering is a difficult job, requiring a large number of skills that often don&#8217