Bytes Cloud Storage 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).
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.
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Towards Data Science
MARCH 5, 2024
BigQuery basics and understanding costs ∘ Storage ∘ Compute · ? Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. Join as we journey through the depths of cost optimization, where every byte is a precious coin. Photo by Konstantin Evdokimov on Unsplash ?
Snowflake
JUNE 20, 2024
Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems. Ingestion Pipelines : Handling data from cloud storage and dealing with different formats can be efficiently managed with the accelerator.
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.
Confluent
MAY 29, 2019
Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. zip Zip file size: 3593 bytes, number of entries: 9 drwxr-xr-x 2.0 6 objects dropped. 6 objects created. m2 directory.
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. Kafka rebalancing has come a long way since then, and the author walks back to us the memory lane of Kafka rebalancing and the advancements made ever since.
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