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Data Engineering Weekly #221

Data Engineering Weekly

Outsourcing the replication of Kafka will simplify the overall application layer, and the author narrates what Kafka would be like if we had to develop a durable cloud-native event log from scratch. link] Yuval Yogev: Making Sense of Apache Iceberg Statistics A rich metadata model is vital to improve query efficiency. and Lite 2.0)

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Netflix Cloud Packaging in the Terabyte Era

Netflix Tech

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The inspection stage examines the input media for compliance with Netflix’s delivery specifications and generates rich metadata.

Cloud 97
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Introducing Netflix’s Key-Value Data Abstraction Layer

Netflix Tech

The first level is a hashed string ID (the primary key), and the second level is a sorted map of a key-value pair of bytes. Chunked data can be written by staging chunks and then committing them with appropriate metadata (e.g. This model supports both simple and complex data models, balancing flexibility and efficiency.

Bytes 107
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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

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. It is also possible to set a maximum for the bytes billed for your query. Photo by Konstantin Evdokimov on Unsplash ?

Bytes 97
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

Netflix Tech

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. This file includes: Metadata ?—?This Mount multiple objects? — ?

Media 89
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Netflix Drive

Netflix Tech

A file and folder interface for Netflix Cloud Services Written by Vikram Krishnamurthy , Kishore Kasi , Abhishek Kapatkar , and Tejas Chopra In this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces. The major pieces, as shown in Fig.

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Kafka Listeners – Explained

Confluent

When a client (producer/consumer) starts, it will request metadata about which broker is the leader for a partition—and it can do this from any broker. Brokers in the cloud (e.g., AWS EC2) and on-premises machines locally (or even in another cloud). This is the metadata that’s passed back to clients. The default is 0.0.0.0,

Kafka 101