XtreemFS VS Apache Hadoop

XtreemFS

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Tracking mentions began in Dec 2020.

Apache Hadoop

• Getting thousands of files of output back from a container
  1 project | /r/docker | 2 May 2023

  Did you check out tools like https://hadoop.apache.org/ ?

• Trying to run hadoop using docker
  1 project | /r/hadoop | 3 Apr 2023

  check out the various dockerfiles bundled with hadoop on GitHub. you can point to them from within docker-compose. they haven't been updated in a couple years tho.

• Unveiling the Analytics Industry in Bangalore
  3 projects | /r/u_Khushisondhi7 | 23 Mar 2023
• 5 Best Practices For Data Integration To Boost ROI And Efficiency
  3 projects | /r/ReviewNPrep | 12 Mar 2023

  There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka.

• Hadoop or Spark?
  1 project | /r/dataengineering | 23 Jan 2023
• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
  10 projects | dev.to | 19 Jan 2023

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS.

• Effortlessly Set Up a Hadoop Multi-Node Cluster on Windows Machines with Our Step-by-Step Guide
  1 project | dev.to | 9 Jan 2023

  A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks.

• In One Minute : Hadoop
  10 projects | dev.to | 21 Nov 2022

  The Apache™ Hadoop™ project develops open-source software for reliable, scalable, distributed computing.

• Elon Musk dissolves Twitter's board of directors
  3 projects | /r/business | 31 Oct 2022

  So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.

• A peek into Location Data Science at Ola
  6 projects | dev.to | 26 Sep 2022

  This requires the use of distributed computation tools such as Spark and Hadoop, Flink and Kafka are used. But for occasional experimentation, Pandas, Geopandas and Dask are some of the commonly used tools.