|almost 3 years ago||4 days ago|
|-||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
We haven't tracked posts mentioning Weka yet.
Tracking mentions began in Dec 2020.
How do I make multiple computers run as one?
1 project | reddit.com/r/techsupport | 6 Jan 2022
The computers that you have appear to use an x86 architecture. Therefore, you could most likely install a Linux distro on each one. Then, you could use something like Apache Hadoop to execute some sort of distributed process across each computer.
Spark for beginners - and you
3 projects | dev.to | 22 Dec 2021
Hadoop is an ecosystem of tools for big data storage and data analysis. It is older than Spark and writes intermediate results to disk whereas Spark tires to keep data in memory whenever possible, so this is faster in many use cases.
Dreaming and Breaking Molds – Establishing Best Practices with Scott Haines
3 projects | dev.to | 8 Dec 2021
So Yahoo bought that. I think it was 2013 or 2014. Timelines are hard. But I wanted to go join the Games team and start things back up. But that was also my first kind of experience in actually building recommendation engines or working with lots of data. And I think for me, like that was, I guess...at the time, we were using something called Apache Storm. We had Hadoop, which had been around for a while. And it was like one of the biggest user groups was out of the Yahoo campus. It was called the HUG group, like the Hadoop Users Group. So they met for basically pizza and stories on Wednesdays once a month, which was really fun.
Setting up a single-node Hadoop cluster
1 project | dev.to | 14 Nov 2021
Spark is lit once again
6 projects | dev.to | 29 Oct 2021
Here at Exacaster Spark applications have been used extensively for years. We started using them on our Hadoop clusters with YARN as an application manager. However, with our recent product, we started moving towards a Cloud-based solution and decided to use Kubernetes for our infrastructure needs.
The Data Engineer Roadmap 🗺
11 projects | dev.to | 19 Oct 2021
Apache Hadoop and HDFS
Whatever java can do there is a better alternative in job market?
2 projects | reddit.com/r/learnjava | 16 Jul 2021
5 Best Big Data Frameworks You Can Learn in 2021
3 projects | dev.to | 18 Jun 2021
Both Fortune 500 and small companies are looking for competent people who can derive useful insight from their huge pile of data and that's where Big Data Framework like Apache Hadoop, Apache Spark, Flink, Storm, and Hive can help.
The Data Engineering Interview Study Guide
1 project | dev.to | 22 Apr 2021
Some positions require Hadoop, others SQL. Some roles require understanding statistics, while still others require heavy amounts of system design.
Currently in Data Science. Should I make the move?
1 project | reddit.com/r/dataengineering | 22 Mar 2021
It'd be best to clarify exactly what we mean by "Hadoop", but if we define it as the suite described here then the only components I still see being used for greenfield are HDFS - or, to be more specific, HDFS-compatible filesystems (AWS EMR and Azure Data Lake Storage both offer HDFS compatibility) - and maybe (Spark) YARN.
What are some alternatives?
Go IPFS - IPFS implementation in Go
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Ceph - Ceph is a distributed object, block, and file storage platform
Seaweed File System - 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.
MooseFS - MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
GlusterFS - Web Content for gluster.org -- Deprecated as of September 2017
Smile - Statistical Machine Intelligence & Learning Engine
lizardfs - LizardFS is an Open Source Distributed File System licensed under GPLv3.
H2O - Sparkling Water provides H2O functionality inside Spark cluster
GlusterFS - Gluster Filesystem : Build your distributed storage in minutes
JSAT - Java Statistical Analysis Tool, a Java library for Machine Learning