Remove Bytes Remove Coding Remove Metadata
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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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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 109
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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

We’ll demonstrate using Gradle to execute and test our KSQL streaming code, as well as building and deploying our KSQL applications in a continuous fashion. The first requirement to tackle: how to express dependencies between KSQL queries that exist in script files in a source code repository. Managing KSQL dependencies.

Kafka 96
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Apache Ozone Fault Injection Framework

Cloudera

This framework does not require any code changes to the system-under-test that is being validated. One key part of the fault injection service is a very lightweight passthrough fuse file system that is used by Ozone for storing all its persistent data and metadata. No changes to Ozone code required for simulating failures.

Hadoop 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. Direct data pointers are automatically replicated globally.

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Data Engineering Weekly #201

Data Engineering Weekly

88% of respondents “Always” or “Often” use Types in their Python code. 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.

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Data Vault Architecture, Data Quality Challenges, And How To Solve Them

Monte Carlo

architecture (with some minor deviations) to achieve their data integration objectives around scalability and use of metadata. “A The other advantage is because we follow a standard design, we are able to generate a lot of our code using code templates and metadata. This layer has minimal transformation rules.