Bytes Cloud Storage Designing Systems 
Towards Data Science
JANUARY 26, 2023
This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. here , here , and here ). CPU cores and TCP connections).
Towards Data Science
MARCH 5, 2024
Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience. BigQuery Studio If it says 1.27
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Netflix Tech
SEPTEMBER 24, 2021
After the inspection stage, we leverage the cloud scaling functionality to slice the video into chunks for the encoding to expedite this computationally intensive process (more details in High Quality Video Encoding at Scale ) with parallel chunk encoding in multiple cloud instances.
Data Engineering Weekly
DECEMBER 3, 2023
In a typical Carrot & stick approach , a thoughtful system design with an incentive to improve goes a long way over the stick approach, as noted by the author. The blog is an excellent read to understand late-arriving data, backfilling, and incremental processing complications.
ProjectPro
JANUARY 24, 2023
BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets. BigQuery is designed for analytical queries beyond basic CRUD operations and offers excellent performance for these queries. Due to this, combining and contrasting the STRING and BYTE types is impossible.
Tweag
APRIL 19, 2023
Most training pipelines and systems are designed to handle fairly small, sub-megapixel images. These decades-old systems were tailored to support doctors in their traditional tasks, like displaying a WSI for manual analysis. Reading WSIs from Blob Storage The first basic challenge is to actually read the image.
Netflix Tech
MAY 5, 2021
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.
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