BT

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Topics

Choose your language

InfoQ Homepage Hadoop Content on InfoQ

  • LinkedIn's Data Infrastructure

    Jay Kreps of LinkedIn presented some informative details of how they process data at the recent Hadoop Summit. Kreps described how LinkedIn crunches 120 billion relationships per day and blends large scale data computation with high volume, low latency site serving.

  • Facebook on Hadoop, Hive, HBase, and A/B Testing

    The Hadoop Summit of 2010 included presentations from a number of large scale users of Hadoop and related technologies. Notably, Facebook presented a keynote and details information about their use of Hive for analytics. Mike Schroepfer, Facebook's VP of Engineering delivered a keynote describing the scale of their data processing with Hadoop.

  • Amazon Elastic MapReduce Updates from Hadoop Summit 2010

    The Hadoop Summit of 2010 included a keynote from Peter Sirota, General Manager of Amazon Elastic MapReduce (EMR), which is a hosted Hadoop offering from Amazon that includes web-based management tools.

  • Yahoo! Updates from Hadoop Summit 2010

    The Hadoop Summit of 2010 started off with a vuvuzela blast from Blake Irving, Chief Product Officer for Yahoo. Yahoo delivered keynote addresses that outlined the scale of their use, technical directions for their contributions, and architectural patterns in how they apply the technology.

  • Mahout 0.3: Open Source Machine Learning

    The need for machine-learning techniques like clustering, collaborative filtering, and categorization has steadily increased the last decade along with the number of solutions needing quick and efficient algorithms to transform vast amounts of raw data into relevant information. Apache Mount 0.3 has been announced on March, adding more functionality, stability and performance.

  • Clojure Roundup: Distribution with Crane, Mathematics with Incanter, Builds with Leiningen 1.0

    FlightCaster recently open sourced Crane, a tool for distributing and remotely controlling Clojure instances, currently specialized for EC2. Incanter is a Clojure library and tool that makes R-like statistical computations easy with Clojure. Also: the build and dependency management tool Leiningen 1.0 is now available.

  • Goat Rodeo: A Unified Data Model for Web Applications

    David Pollak, found of the Lift web framework and "Beginning Scala" author, has announced a new initiative "Goat Rodeo" that aims to bring data modeling into the 21st century.

  • Apache Mahout: Highly Scalable Machine Learning Algorithms

    The Apache Mahout project, a set of highly scalable machine-learning libraries, recently announced it's first public release. InfoQ spoke with Grant Ingersoll, co-founder of Mahout and a member of the technical staff at Lucid Imagination, to learn more about this project and machine learning in general.

  • Amazon Rolls Out Hadoop Based MapReduce to EC2

    It has been possible to run Hadoop on EC2 for a while. Today Amazon simplified the process by announcing Amazon Elastic MapReduce which automatically deploys EC2 instances for computational use and includes a API for interacting with them.

  • Cloudera Seeks to Make Hadoop More Accessible With Packaged Distribution

    Numerous projects have sprouted up around the popular Hadoop open source implementation of map reduce in the last year. Now Cloudera is releasing Cloudera Distribution for Hadoop, an open source product seeking to make it easier for company's to begin using Hadoop.

  • Cascading - Data Processing API for Hadoop MapReduce

    Cascading is a new processing API for data processing on Hadoop clusters, and supports building complex processing workflows using an expressive, declarative API.

  • HBase Leads Discuss Hadoop, BigTable and Distributed Databases

    Google's recent introduction of their Google Application Engine has created renewed interest in alternative database technologies. InfoQ recently sat down with the leads of HBase, an open-source, distributed, data store modeled after the Google's BigTable.

  • Hypertable Lead Discusses Hadoop and Distributed Databases

    Two open source projects related to Hadoop, HBase and Hypertable, provide Big Table inspired scalable database implementations. InfoQ sat down with Doug Judd, Principal Search Architect at Zvents, Inc. and Hypertable project founder, to discuss its implementation.

  • Lucene 2.3: Large indexing performance improvements, new machine-learning project

    The Apache Lucene project, a high-performance full-featured text search engine library written entirely in Java, released version 2.3 today. InfoQ spoke with committer and Project Management Committee (PMC) member Grant Ingersoll to learn more about this release and the future plans for Lucene.

  • MapReduce A Step Backwards: Is Comparison to Relational Databases Fair?

    A recent article on the Database Column by David J. DeWitt and Michael Stonebraker attempts to compare the increasingly popular MapReduce programming paradigm to a relational database. The blogsphere has quickly called foul on the comparison and its reasoning.

BT