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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 100
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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 ?

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Open-Sourcing AvroTensorDataset: A Performant TensorFlow Dataset For Processing Avro Data

LinkedIn Engineering

An Avro file is formatted with the following bytes: Figure 1: Avro file and data block byte layout The Avro file consists of four “magic” bytes, file metadata (including a schema, which all objects in this file must conform to), a 16-byte file-specific sync marker, and a sequence of data blocks separated by the file’s sync marker.

Datasets 102
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Aligning Velox and Apache Arrow: Towards composable data management

Engineering at Meta

In the new representation , the first four bytes of the view object always contain the string size. Otherwise, a prefix of the string is stored in the next four bytes, followed by the buffer ID (StringViews can contain multiple data buffers) and the offset in that data buffer. first writing StringView at position 2, then 0 and 1).

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Introducing Netflix TimeSeries Data Abstraction Layer

Netflix Tech

Cost Efficiency : Reducing the cost per byte and per operation to optimize long-term retention while minimizing infrastructure expenses, which can amount to millions of dollars for Netflix. Metadata table : This table stores information about how each time slice is configured per namespace.

Bytes 95
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Improving Efficiency Of Goku Time Series Database at Pinterest (Part?—?1)

Pinterest Engineering

The bucket in itself is actually nothing but a collection of SST files holding all the time series data and metadata for the corresponding bucket size. See the graph below, which shows the compaction read and write bytes on a cluster when it is bootstrapping for the first time. The bucket id is unix time divided by bucket size.

Database 108
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5 Big Data Challenges in 2024

Knowledge Hut

quintillion bytes (or 2.5 Two, it creates a commonality of data definitions, concepts, metadata and the like. With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1. exabytes) of information is being generated every day.