http://test.concurrentinc.com/index.php en info@grantmx.com Copyright 2009 2009-10-10T03:36:54+00:00 http://www.concurrentinc.com/news-events/entry/cascading_now_has_support_for_hbase_and_the_jdbc_api/ http://www.concurrentinc.com/news-events/entry/cascading_now_has_support_for_hbase_and_the_jdbc_api/#When:03:36:54Z Cascading now has support for HBase and the JDBC API. 2009-10-10T03:36:54+00:00 http://www.concurrentinc.com/news-events/entry/cloud_computing_-_from_getting_started_and_tools_to_large_scale_architectur/ http://www.concurrentinc.com/news-events/entry/cloud_computing_-_from_getting_started_and_tools_to_large_scale_architectur/#When:23:35:34Z Do you have a technical background in other areas and you want to get started   in Cloud Computing?  Do you want to find out more about Map-Reduce and scaling   up flexibly on a larger number of CPUs?  What tools should be used by a new   person to get started quickly or for an experienced development group to   develop large scale enterprise system?  Do you want to better understand how how   one architects systems in the Cloud? This training session goes over basic cloud concepts in general along with the   advantages of Cloud vs. traditional computing.  To make things tangible, there   is a walk through of the mechanics needed to get an existing, small sample   application up an running on a cloud provider.  Then the session will cover how   such a system could incrementally scale up to dozens or hundreds of CPUs.  Architecture principles and decisions will cover how to design and scale systems   from small to a huge scale. Also being presented is what it takes to get an application running on a   distributed cluster infrastructure, and how it differs from traditional methods.  As an experienced MapReduce/Hadoop and other scale-free technologies, Chris will   illustrate the concept with real life use cases that he has worked with. The end of the training seminar will allow for questions and an open discussion.  Bring your questions and challenges. http://www.sfbayacm.org/events/2009-06-06.php 2009-06-06T23:35:34+00:00 http://www.concurrentinc.com/news-events/entry/sam_sig_hadoop_architecture_mapreduce_patterns_and_best_practices_w_cascadi/ http://www.concurrentinc.com/news-events/entry/sam_sig_hadoop_architecture_mapreduce_patterns_and_best_practices_w_cascadi/#When:03:32:15Z Abstract: A rapid introduction to Hadoop architecture, MapReduce patterns, and best practices with Cascading. Hadoop is an open source implementation of the Google MapReduce processing model and has been widely embraced by startups and established companies like Yahoo! and Amazon. Cascading, also an open source project, is an alternative API to MapReduce that allows developers to rapidly create sophisticated applications on the Hadoop platform. Unfortunately the MapReduce model can be very complex to manipulate when attempting to perform tasks developers take for granted when using relational style databases, like joins and secondary sorting of grouped values. Further, integrating Hadoop with external systems requires a deep knowledge of its internals. But this is where Hadoop clusters offer the most value, of off-loading data cleansing and data migration tasks from traditional tools and expensive load sensitive systems. Cascading is an API that replaces the “Map” and “Reduce” primitives and their associated Key/Value algebra with functions, filters, and aggregators, and links them all together with a familiar columns and records model. And provides key processing primitives familiar to developers. In this presentation, we will present the Hadoop architecture, how MapReduce influences that architecture and is used for common tasks, and how Cascading helps developers rapidly build sophisticated data processing and orchestration applications that can be very simply tested and executed. Bio: Chris K Wensel has been a Software and Systems Architect for over 15 years. He is the founder of Concurrent Inc., and the author of the Cascading data processing open-source project. He’s also a Principal at Scale Unlimited, a professional services company offering commercial training and consulting for Hadoop and related large architectures. Over the last 7 years he has deployed large and sophisticated data processing applications for use by companies providing geo-spatial, web content, and financial data services in both the traditional enterprise data-center and on Amazon EC2. Location Cubberley Community Center 4000 Middlefield Road, Room H-1 Palo Alto, CA http://www.sdforum.org/index.cfm?fuseaction=Calendar.eventDetail&eventID=13367 2009-05-28T03:32:15+00:00 http://www.concurrentinc.com/news-events/entry/cloud_computing_paradigms_mapreduce_hadoop_cascading/ http://www.concurrentinc.com/news-events/entry/cloud_computing_paradigms_mapreduce_hadoop_cascading/#When:03:29:03Z Cloud computing promises to make a significant impact on engineering computing paradigms and application design in a number of important arenas. Amazon’s Elastic Compute Cloud and subsequent Elastic MapReduce is only one of many providers offering cloud computing. This talk will provide an overview of common programming methods in the cloud, including MapReduce, Hadoop, and Cascading. Hadoop is an open source implementation of the Google MapReduce processing model which has been widely embraced by startups and established companies like Yahoo! and Amazon. Cascading is another open source project which provides an alternative API to MapReduce, and which allows developers to rapidly create sophisticated applications on the Hadoop platform. http://www.californiaconsultants.org/Events.cfm/item/114   2009-05-20T03:29:03+00:00 http://www.concurrentinc.com/news-events/entry/cascading_1.0_has_been_released/ http://www.concurrentinc.com/news-events/entry/cascading_1.0_has_been_released/#When:20:00:42Z Cascading 1.0 has been released. Visit the Cascading community site for more information. 2009-01-14T20:00:42+00:00