Skip to main content

Exploring Apache Hama

By Desk Editor
Apache Hama is one of the under-hyped projects in the Hadoop ecosystem but gaining a lot of traction steadily with the efforts of its committers. "Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms." 

 First a short introduction to BSP in Apache Hadoop context :


 A look at Apache Hama components and its high level architecture :


Among its various use cases, a presentation which explores usage in Machine learning with Apache Hama - a slide deck from the recently concluded ApacheCon Europe 2012



Algorithms available within Apache Hama:

    Addition of multiple matrices
    Multiplication
    Matrix Norm
    Compute the transpose of matrix
    Compute the determinant of square matrix
    Cholesky Decomposition
    Singular Value Decompostion

Other useful links:

Getting Started with Apache Hama 
Apache Hama integration with YARN 
Semi Clustering with Apache Hama 
With its focus on data locality and certain reviews claiming much more faster processing of algorithms, this project is one to watch out for especially among the first movers on Hadoop 2.0 . 
Labels:

Comments

Post a Comment

Popular articles

5 online tools in data visualization playground

By Desk Editor
While building up an analytics dashboard, one of the major decision points is regarding the type of charts and graphs that would provide better insight into the data. To avoid a lot of re-work later, it makes sense to try the various chart options during the requirement and design phase. It is probably a well known myth that existing tool options in any product can serve all the user requirements with just minor configuration changes. We all know and realize that code needs to be written to serve each customer’s individual needs.
To that effect, here are 5 tools that could empower your technical and business teams to decide on visualization options during the requirement phase. Listed below are online tools for you to add data and use as playground.
1)      Many Eyes: Many Eyes is a data visualization experiment by IBM Researchandthe IBM Cognos software group. This tool provides option to upload data sets and create visualizations including Scatter Plot, Tree Map, Tag/Word cloud and ge…
6 comments
Read more

Data deduplication tactics with HDFS and MapReduce

By Desk Editor
As the amount of data continues to grow exponentially, there has been increased focus on stored data reduction methods. Data compression, single instance store and data deduplication are among the common techniques employed for stored data reduction.
Deduplication often refers to elimination of redundant subfiles (also known as chunks, blocks, or extents). Unlike compression, data is not changed and eliminates storage capacity for identical data. Data deduplication offers significant advantage in terms of reduction in storage, network bandwidth and promises increased scalability.
From a simplistic use case perspective, we can see application in removing duplicates in Call Detail Record (CDR) for a Telecom carrier. Similarly, we may apply the technique to optimize on network traffic carrying the same data packets.
Some of the common methods for data deduplication in storage architecture include hashing, binary comparison and delta differencing. In this post, we focus on how MapReduce and…
2 comments
Read more

Hadoop's 10 in LinkedIn's 10

By Desk Editor
LinkedIn, the pioneering professional social network has turned 10 years old. One of the hallmarks of its journey has been its technical accomplishments and significant contribution to open source, particularly in the last few years. Hadoop occupies a central place in its technical environment powering some of the most used features of desktop and mobile app. As LinkedIn enters the second decade of its existence, here is a look at 10 major projects and products powered by Hadoop in its data ecosystem.
1)      Voldemort: Arguably, the most famous export of LinkedIn engineering, Voldemort is a distributed key-value storage system. Named after an antagonist in Harry Potter series and influenced by Amazon’s Dynamo DB, the wizardry in this database extends to its self healing features. Available in HA configuration, its layered, pluggable architecture implementations are being used for both read and read-write use cases.
2)      Azkaban: A batch job scheduling system with a friendly UI, Azkab…
Post a Comment
Read more