Remove Bytes Remove Events Remove Metadata
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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 99
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Introducing Netflix TimeSeries Data Abstraction Layer

Netflix Tech

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.

Bytes 94
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Data Engineering Annotated Monthly – May 2022

Big Data Tools

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

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Data Engineering Annotated Monthly – May 2022

Big Data Tools

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

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Tech Overview of Compute-Compute Separation- A New Cloud Architecture for Real-Time Analytics

Rockset

The leader creates a replication stream and sends updates and metadata changes to follower virtual instances. Rockset uses an external strongly-consistent metadata store to perform leader election. Rockset uses an external strongly-consistent metadata store to perform leader election.

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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

Netflix Tech

version vpc-id subnet-id instance-id interface-id account-id type srcaddr dstaddr srcport dstport pkt-srcadd r pkt-dstaddr protocol bytes packets start end action tcp-flags log-status 3 vpc-12345678 subnet-012345678 i-07890123456 eni-23456789 123456789010 IPv4 52.213.180.42 These events represent a specific cut of data from the table.

AWS 61
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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Building event streaming applications using KSQL is done with a series of SQL statements, as seen in this example. Introduction. KSQL primer. The KSQL pipeline flow.

Kafka 96