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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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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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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. Sample Queries supported by Graph Database. Component Design.

Design 334
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming. To achieve this, Cosmos was developed as a computing platform for workflow-driven, media-centric microservices. 264, AV1, etc.).

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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 new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Media p erformance . Watching media sites including CNN, Fox News, and CNBC has been very interesting.

Website 220
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Three steps in exploratory data analytics: Discover, browse, explore Grail captures heterogeneous data from across the network in one place while retaining its context and semantic details, which eliminates the limitations of traditional databases. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 215