<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>hadoop</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/1911/feed"/>
    <updated>2026-06-19T16:30:52+00:00</updated>
    <id>https://links.biapy.com/guest/tags/1911/feed</id>
            <entry>
            <id>https://links.biapy.com/links/4207</id>
            <title type="text"><![CDATA[SeaweedFS]]></title>
            <link rel="alternate" href="https://github.com/seaweedfs/seaweedfs" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4207"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding.]]>
            </summary>
            <updated>2025-08-29T03:38:12+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4744</id>
            <title type="text"><![CDATA[Trunk Data Platform (TDP)]]></title>
            <link rel="alternate" href="https://www.trunkdataplatform.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4744"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[open source big data platform.

Trunk Data Platform is an Open Source, free, Hadoop distribution.

- [Trunk Data Platform (TDP) @ GitHub](https://github.com/TOSIT-IO/TDP).
- [TDP Installation Guide @ Alliage](https://www.alliage.io/en/academy/getting-started/install).
- [Installation Guide to TDP, the 100% open source big data platform @ Adaltas](https://www.adaltas.com/en/2023/10/18/tdp-guide-getting-started/).]]>
            </summary>
            <updated>2025-08-29T05:07:04+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6353</id>
            <title type="text"><![CDATA[Ambari -]]></title>
            <link rel="alternate" href="https://ambari.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6353"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Apache Ambari project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. Ambari provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.]]>
            </summary>
            <updated>2025-08-29T09:37:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/7024</id>
            <title type="text"><![CDATA[Luigi]]></title>
            <link rel="alternate" href="https://github.com/spotify/luigi" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/7024"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.]]>
            </summary>
            <updated>2025-08-29T11:28:13+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/8352</id>
            <title type="text"><![CDATA[HBase - Apache HBase&amp;amp;#153; Home]]></title>
            <link rel="alternate" href="http://hbase.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/8352"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache HBase™ is the Hadoop database, a distributed, scalable, big data store. 
Use Apache HBase when you need random, realtime read/write access to your Big Data. This project&amp;#039;s goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google&amp;#039;s Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.]]>
            </summary>
            <updated>2025-08-29T15:09:22+00:00</updated>
        </entry>
    </feed>
