Mahout: All content tagged as Mahout in NoSQL databases and polyglot persistence
Wednesday, 4 April 2012
Apache Bigtop: Apache Big Data Management Distribution Based on Apache Hadoop
The primary goal of Bigtop is to build a community around the packaging and interoperability testing of Hadoop-related projects. This includes testing at various levels (packaging, platform, runtime, upgrade, etc…) developed by a community with a focus on the system as a whole, rather than individual projects.
Currently packaging:
- Apache Hadoop 1.0.x
- Apache Zookeeper 3.4.3
- Apache HBase 0.92.0
- Apache Hive 0.8.1
- Apache Pig 0.9.2
- Apache Mahout 0.6.1
- Apache Oozie 3.1.3
- Apache Sqoop 1.4.1
- Apache Flume 1.0.0
- Apache Whirr 0.7.0
Apache Bigtop looks like the first step towards the Big Data LAMP-like platform analysts are calling for. Practically though it’s goal is to ensure that all the components of the wide Hadoop ecosystem remain interoperable.
Original title and link: Apache Bigtop: Apache Big Data Management Distribution Based on Apache Hadoop (©myNoSQL)
Thursday, 26 January 2012
Mavuno: A Hadoop-Based Text Mining Toolkit
Mavuno is an open source, modular, scalable text mining toolkit built upon Hadoop. It supports basic natural language processing tasks (e.g., part of speech tagging, chunking, parsing, named entity recognition), is capable of large-scale distributional similarity computations (e.g., synonym, paraphrase, and lexical variant mining), and has information extraction capabilities (e.g., instance and semantic relation mining). It can easily be adapted to new input formats and text mining tasks.
I’d love to hear from people with more knowledge in the field how Mavuno compares to Mahout.
Original title and link: Mavuno: A Hadoop-Based Text Mining Toolkit (©myNoSQL)
Tuesday, 3 January 2012
Mahout as a Service in Apache Whirr 0.7.0
What’s included with Whirr 0.7.0 will definitely cut down the 2-3 hours required to get Mahout up and running on Amazon. At least that’s what Frank Scholten’s post made me believe.
Original title and link: Mahout as a Service in Apache Whirr 0.7.0 (©myNoSQL)
via: http://www.searchworkings.org/blog/-/blogs/apache-whirr-includes-mahout-support
Wednesday, 21 December 2011
Machine Learning, Hadoop, and Mahout
The presentation Cloudera Data Science team (Josh Wills, Tom Pierce, Jeff Hammerbacher) gave a couple of days ago on the state of machine learning and Hadoop.
Friday, 9 December 2011
Mahout on Amazon EC2: Installing Hadoop/Mahout on High Performance Instance
Danny Bickson:
Full procedure should take around 2-3 hours.. :-(
I think this would be considered a good provisioning speed for ramping up a new machine in your data center. But it is not a good getting up to speed time.
Original title and link: Mahout on Amazon EC2: Installing Hadoop/Mahout on High Performance Instance (©myNoSQL)
via: http://bickson.blogspot.com/2011/02/mahout-on-amazon-ec2-part-5-installing.html
Monday, 28 November 2011
Why Is Cloudera Packing Mahout With Hadoop?
Machine learning is an entire field devoted to Information Retrieval, Statistics, Linear Algebra, Analysis of Algorithms, and many other subjects. This field allows us to examine things such as recommendation engines involving new friends, love interests, and new products. We can do incredibly advanced analysis around genetic sequencing and examination, distributed search and frequency pattern matching, as well mathematical analysis with vectors, matrices, and singular value decomposition (SVD).
All these fields have deep connections in the big data space.
Original title and link: Why Is Cloudera Packing Mahout With Hadoop? (©myNoSQL)
via: http://www.cloudera.com/blog/2011/11/cdh3u2-apache-mahout-integration/
Thursday, 11 November 2010
Quick Reference: Hadoop Tools Ecosystem
Just a quick reference of the continuously growing Hadoop tools ecosystem.
Hadoop
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing.
HDFS
A distributed file system that provides high throughput access to application data.
MapReduce
A software framework for distributed processing of large data sets on compute clusters.
Amazon Elastic MapReduce
Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).
aws.amazon.com/elasticmapreduce/
Cloudera Distribution for Hadoop (CDH)
Cloudera’s Distribution for Hadoop (CDH) sets a new standard for Hadoop-based data management platforms.
ZooKeeper
A high-performance coordination service for distributed applications. ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
HBase
A scalable, distributed database that supports structured data storage for large tables.
Avro
A data serialization system. Similar to ☞ Thrift and ☞ Protocol Buffers.
Sqoop
Sqoop (“SQL-to-Hadoop”) is a straightforward command-line tool with the following capabilities:
- Imports individual tables or entire databases to files in HDFS
- Generates Java classes to allow you to interact with your imported data
- Provides the ability to import from SQL databases straight into your Hive data warehouse
Flume
Flume is a distributed, reliable, and available service for efficiently moving large amounts of data soon after the data is produced.
archive.cloudera.com/cdh/3/flume/
Hive
Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language.
Pig
A high-level data-flow language and execution framework for parallel computation. Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
Oozie
Oozie is a workflow/coordination service to manage data processing jobs for Apache Hadoop. It is an extensible, scalable and data-aware service to orchestrate dependencies between jobs running on Hadoop (including HDFS, Pig and MapReduce).
Cascading
Cascading is a Query API and Query Planner used for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.
Cascalog
Cascalog is a tool for processing data on Hadoop with Clojure in a concise and expressive manner. Cascalog combines two cutting edge technologies in Clojure and Hadoop and resurrects an old one in Datalog. Cascalog is high performance, flexible, and robust.
github.com/nathanmarz/cascalog
HUE
Hue is a graphical user interface to operate and develop applications for Hadoop. Hue applications are collected into a desktop-style environment and delivered as a Web application, requiring no additional installation for individual users.
You can read more about HUE on ☞ Cloudera blog.
Chukwa
Chukwa is a data collection system for monitoring large distributed systems. Chukwa is built on top of the Hadoop Distributed File System (HDFS) and Map/Reduce framework and inherits Hadoop’s scalability and robustness. Chukwa also includes a flexible and powerful toolkit for displaying, monitoring and analyzing results to make the best use of the collected data.
Mahout
A Scalable machine learning and data mining library.
Integration with Relational databases
- Oracle
- Hadoop connector for Oracle Ora-Oop
- Hadoop and Oracle Parallel Processing
Integration with Data Warehouses
The only list I have is MapReduce, RDBMS, and Data Warehouse, but I’m afraid it is quite a bit old. So maybe someone could help me update it.
Anything else? Once we validate this list, I’ll probably have to move it on the NoSQL reference
Original title and link: Quick Reference: Hadoop Tools Ecosystem (NoSQL databases © myNoSQL)
