Cache Data Engineering Processing 
The Netflix TechBlog
MARCH 7, 2024
Data: Fast Data Our main data lake is hosted on S3, organized as Apache Iceberg tables. For ETL and other heavy lifting of data, we mainly rely on Apache Spark. In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training.
The Netflix TechBlog
SEPTEMBER 10, 2024
The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. The previous version of the message processor was a Mantis stream-processing job that processed messages from the message queue.
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The Netflix TechBlog
JULY 21, 2022
Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. We now explore each of these components individually, while highlighting the nuances of the data pipeline and pre-processing.
The Netflix TechBlog
MARCH 5, 2019
the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). Can we leverage this lineage solution to help forecast SLA misses and address Data Lifecycle Management questions (job cost, table cost, and retention)?
Abhishek Tiwari
DECEMBER 27, 2017
A common theme across all these trends is to remove the complexity by simplifying data management as a whole. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture.
The Netflix TechBlog
JANUARY 6, 2025
Data is a tool that enhances decision-making, complementing the deep expertise and industry knowledge of our creative professionals. Although there was already a process for creating and comparing budgets for new productions against similar past projects, it was highly manual.
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