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Automating Twilio Recording Exports for Quality Purposes: Python Implementation Guidelines

DZone

Twilio is a call management system that provides excellent call recording capabilities, but often organizations are in need of automatically downloading and storing these recordings locally or in their preferred cloud storage. However, downloading large numbers of recordings from Twilio can be challenging.

Storage 242
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Globalizing Productions with Netflix’s Media Production Suite

The Netflix TechBlog

Besides the need for robust cloud storage for their media, artists need access to powerful workstations and real-time playback. Local storage and compute services are connected through the Netflix Open Connect network (Netflix Content Delivery Network) to the infrastructure of Amazon Web Services (AWS).

Media 203
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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. Our object storage service splits objects into many parts and stores them in S3.

Media 218
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An Efficient Object Storage for JUnit Tests

DZone

One day I faced the problem with downloading a relatively large binary data file from PostgreSQL. To resolve the problem it was suggested to find more suitable data storage. There are several limitations to store and fetch such data (all restrictions could be found in official documentation ).

Storage 124
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

Big Data 321
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 242
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Unlike data warehouses, however, data is not transformed before landing in storage.