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

LinkedIn Engineering

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

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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Aligning Velox and Apache Arrow: Towards composable data management

Engineering at Meta

Why we need a composable data management system Meta’s data engines support large-scale workloads that include processing large datasets offline (ETL), interactive dashboard generation, ad hoc data exploration, and stream processing. In the new representation , the first four bytes of the view object always contain the string size.

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How Netflix microservices tackle dataset pub-sub

Netflix Tech

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

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AVIF for Next-Generation Image Coding

Netflix Tech

The goal is to have the compressed image look as close to the original as possible while reducing the number of bytes required. Shown below is one original source image from the Kodak dataset and the corresponding result with JPEG 444 @ 20,429 bytes and with AVIF 444 @ 19,788 bytes.

Coding 84
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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

It provides a powerful and easy-to-use interface for large-scale data analysis, allowing users to store, query, analyze, and visualize massive datasets quickly and efficiently. BigQuery is a powerful tool for running complex analytical queries on large datasets. Name your dataset, then click on CREATE DATA SET.

Bytes 52
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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

quintillion bytes of data are created every single day, and it’s only going to grow from there. Fault Tolerance: Apache Spark achieves fault tolerance using a spark abstraction layer called RDD (Resilient Distributed Datasets), which is designed to handle worker node failure. count(): Return the number of elements in the dataset.

Scala 96