Data Data Engineer Data Management Python 
Data Engineering Podcast
JULY 2, 2023
In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. What is feature engineering is and why/to whom it matters?
Data Engineering Podcast
JANUARY 30, 2022
Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. The only thing worse than having bad data is not knowing that you have it.
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Data Engineering Podcast
MAY 22, 2022
Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager.
Data Engineering Podcast
JULY 10, 2022
Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.
Data Engineering Podcast
JUNE 26, 2022
Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Random data doesn’t do it — and production data is not safe (or legal) for developers to use. And don’t forget to thank them for their continued support of this show!
Knowledge Hut
FEBRUARY 1, 2024
Variables in Python are fundamental containers used for storing and manipulating data in a program. In Python programming, variables are the backbone of data manipulation and program logic. They hold and transform data, allowing for the execution of algorithms and the management of large datasets.
Data Engineering Podcast
JULY 17, 2022
Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.
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