Remove Bytes Remove Events Remove Metadata
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Foundation Model for Personalized Recommendation

Netflix Tech

To harness this data effectively, we employ a process of interaction tokenization, ensuring meaningful events are identified and redundancies are minimized. Drawing an analogy to Byte Pair Encoding (BPE) in NLP, we can think of tokenization as merging adjacent actions to form new, higher-level tokens.

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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 104
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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 95
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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
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How Netflix microservices tackle dataset pub-sub

Netflix Tech

Datasets themselves are of varying size, from a few bytes to multiple gigabytes. Each version contains metadata (keys and values) and a data pointer. You can think of a data pointer as special metadata that points to where the actual data you published is stored. it is meant purely for data versioning and propagation.

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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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Data Engineering Weekly #201

Data Engineering Weekly

The tool leverages a multi-agent system built on LangChain and LangGraph, incorporating strategies like quality table metadata, personalized retrieval, knowledge graphs, and Large Language Models (LLMs) for accurate query generation. Lack of Byte String Support : It is difficult to handle binary data efficiently.