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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: 448

Summary Anomaly detection is a capability that is useful in a variety of problem domains, including

Summary Building a data platform that works equally well for data engineering and data science is a

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and

Summary Building a machine learning model can be difficult, but that is only half of the battle. Hav

Summary Building an ETL pipeline can be a significant undertaking, and sometimes it needs to be rebu

Summary Some problems in data are well defined and benefit from a ready-made set of tools. For every

Summary In recent years the traditional approach to building data warehouses has shifted from transf

Summary The database market continues to expand, offering systems that are suited to virtually every

Summary Kubernetes is a driving force in the renaissance around deploying and running applications.

Summary One of the biggest challenges for any business trying to grow and reach customers globally i

Summary Database indexes are critical to ensure fast lookups of your data, but they are inherently t

Summary How much time do you spend maintaining your data pipeline? How much end user value does that

Summary Analytics projects fail all the time, resulting in lost opportunities and wasted resources.

Summary Data integration is one of the most challenging aspects of any data platform, especially as

Summary Delivering a data analytics project on time and with accurate information is critical to the

Summary Customer analytics is a problem domain that has given rise to its own industry. In order to

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data

Summary Distributed storage systems are the foundational layer of any big data stack. There are a va

Summary Machine learning is a class of technologies that promise to revolutionize business. Unfortun

Summary Archaeologists collect and create a variety of data as part of their research and exploratio