Remove Bytes Remove Hadoop 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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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 70
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Apache Ozone Fault Injection Framework

Cloudera

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. The APIs are generic enough that we could target both Ozone data and metadata for failure/corruption/delays. Introducing Apache Hadoop Ozone. Further Reading.

Hadoop 96
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data. Hardware Hadoop uses commodity hardware.

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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. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

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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. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

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97 things every data engineer should know

Grouparoo

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.