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Launching the Engineering Blog

Zalando Engineering

Our Engineering Blog was launched in June 2020 after a long break of the previous tech blog. What customizations we applied to design the blog and the publishing process. Static Site Generator Our previous tech blog used a CMS which only a limited number of people had access to. It's actively developed.

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Netflix Cloud Packaging in the Terabyte Era

Netflix Tech

Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side. The inspection stage examines the input media for compliance with Netflix’s delivery specifications and generates rich metadata.

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Netflix Drive

Netflix Tech

Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. 2 , are the file system interface, the API interface, and the metadata and data stores. The major pieces, as shown in Fig.

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Data Vault Architecture, Data Quality Challenges, And How To Solve Them

Monte Carlo

In this blog post we’ll dive into data vault architecture; challenges and best practices for maintaining data quality; and how data observability can help. architecture (with some minor deviations) to achieve their data integration objectives around scalability and use of metadata. “A What is a Data Vault model? methodology.

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

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Meeting DoorDash Growth with a Self-Service Logistics Configuration Platform 

DoorDash Engineering

With this design, clients can start using config-platform immediately and can also add additional support when needed. As with other parts of the design, this data model was finalized after multiple iterations. The platform is extensible so that any business can come and add their own validations on top of basic validation.