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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. in Atlas , Netflix’s in-memory dimensional time series database.

Media 214
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. We will use a graph database such as Neo4j to store the information. When the server receives a request for an action (post, like etc.)

Design 334
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Data ingestion pipeline with Operation Management

The Netflix TechBlog

by Varun Sekhri , Meenakshi Jindal , Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Teams generally want to run algorithms and create annotations using all those media files.

Media 264
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Django Highlights: Wrangling Static Assets And Media Files (Part 4)

Smashing Magazine

Django Highlights: Wrangling Static Assets And Media Files (Part 4). Django Highlights: Wrangling Static Assets And Media Files (Part 4). But unfortunately, when dealing with static assets and media files, there are a lot of caveats to deal with. Part 3 : Models, Admin, And Harnessing The Relational Database. Media Files.

Media 69
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The Anna Key-Value Store Now Has 355x the Performance of DynamoDB for the Dollar

High Scalability

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. Each storage server collects statistics about the requests it serves, the data it stores, etc. Our monitoring engine automatically moves data between tiers based on access patterns.

Storage 199
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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. Enter graph databases.

Database 134