<?xml version="1.0" encoding="UTF-8"?>
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    <title>processing</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1004/feed"/>
    <updated>2026-04-28T08:56:37+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1004/feed</id>
            <entry>
            <id>https://links.biapy.com/links/1105</id>
            <title type="text"><![CDATA[xan :fr:]]></title>
            <link rel="alternate" href="https://github.com/medialab/xan" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The CSV magician.

`xan` is a command line tool that can be used to process CSV files directly
from the shell.
It can easily preview, filter, slice, aggregate, sort, join CSV files,
and exposes a large collection of composable commands that can be chained
together to perform a wide variety of typical tasks.

Related contents:

- [Xan - Un outil surpuissant pour manipuler vos fichiers CSV en ligne de commande @ Korben :fr:](https://korben.info/xan-couteau-suisse-manipulation-csv-ligne-commande.html).]]>
            </summary>
            <updated>2025-08-28T19:00:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1112</id>
            <title type="text"><![CDATA[Apache Flink]]></title>
            <link rel="alternate" href="https://flink.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1112"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Stateful Computations over Data Streams.

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

- [Apache Flink @ GitHub](https://github.com/apache/flink).

Related contents:

- [Flink AI: Hands-On FEDERATED_SEARCH()—Search a Vector Database with Confluent Cloud for Apache Flink® @ Confluent](https://www.confluent.io/blog/flink-ai-rag-with-federated-search/).
- [You Gotta Push If You Wanna Pull @ Gunnar Morling](https://www.morling.dev/blog/you-gotta-push-if-you-wanna-pull/).
- [Why We Ditched Flink Table API Joins: Cutting State by 75% with DataStream Unions @ Zalando Engineering Blog](https://engineering.zalando.com/posts/2026/03/why-we-ditched-flink-table-api-joins-cutting-state.html).
- [The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse @ Big Data Boutique](https://bigdataboutique.com/blog/kfc-architecture-blueprint-kafka-flink-and-clickhouse).]]>
            </summary>
            <updated>2026-03-09T07:29:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4559</id>
            <title type="text"><![CDATA[Apache Beam®]]></title>
            <link rel="alternate" href="https://beam.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4559"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Unified Apache Beam Model. The easiest way to do batch and streaming data processing. Write once, run anywhere data processing for mission-critical production workloads.

Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud Dataflow, and Hazelcast Jet. 

- [Beam @ GitHub](https://github.com/apache/beam).]]>
            </summary>
            <updated>2025-08-29T04:36:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4560</id>
            <title type="text"><![CDATA[Dataflow]]></title>
            <link rel="alternate" href="https://cloud.google.com/dataflow/?hl=en" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4560"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Unified stream and batch data processing that&amp;#039;s serverless, fast, and cost-effective.

- [ &amp;quot;CI/CD avec Dataflow dans Google Cloud&amp;quot; au GDG Cloud Nantes @ GDG France&amp;#039;s YouTube :fr: ](https://www.youtube.com/watch?v=BK88_bIoCpc).]]>
            </summary>
            <updated>2025-08-29T04:36:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5408</id>
            <title type="text"><![CDATA[Imaginary]]></title>
            <link rel="alternate" href="https://github.com/h2non/imaginary" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5408"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing.

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker &amp;amp; Fly.io. It&amp;#039;s almost dependency-free and only uses net/http native package without additional abstractions for better performance.]]>
            </summary>
            <updated>2025-08-29T06:57:57+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7420</id>
            <title type="text"><![CDATA[Marvin Image Processing Framework]]></title>
            <link rel="alternate" href="http://marvinproject.sourceforge.net/en/index.html" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7420"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Pure Java cross-platform image processing framework that provides features for image and video frame processing, multi-threading image processing, GUI integration, extensibility via plug-ins, unit text automation among other things.]]>
            </summary>
            <updated>2025-08-29T12:34:52+00:00</updated>
        </entry>
    </feed>
