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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

Media Feature Storage: Amber Storage Media feature computation tends to be expensive and time-consuming. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Document store.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). To simulate text messages I have used ~3 billion of reddit comments (10 years from 2007 to 2017), downloaded from pushshift.io. So can we use it as our main datastore? group by a.w, group by a.w,

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. We had an advanced team of database administrators and access to top experts within Oracle. million requests per second.

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