'Mahout' presentation slideshows

Big Data & Hadoop

Hannah Jones presents. Big Data & Hadoop. Agenda. What is BigData ? What is Hadoop? Hadoop vs. Traditional Database Who uses Hadoop? Brief History How does Hadoop work ? Storage Processing Other Projects Presentation Layer. What is Big Data?.

823 views • 39 slides

Introducing Apache Mahout

753 views • 29 slides

Introducing Apache Mahout

407 views • 29 slides

Fast forward with Microsoft big data

Fast forward with Microsoft big data. Vinoo Srinivas M Solutions Specialist Windows Azure (Hadoop, HPC, Media). The world of data is changing . Data explosion. 10x increase every five years. Hadoop. Cheap, Distributed Storage & Processing. Volume Velocity Variety.

328 views • 20 slides

Scaling Big Data Mining Infrastructure:

Scaling Big Data Mining Infrastructure:. The Twitter Experience By: Jimmy Lin & Dmitriy Ryaboy. Outline:. Introduction The problem! The big data mining cycle where to find the data? conclusion future Exploration. I ntroduction.

363 views • 20 slides

Apache Bigtop Working Group

Apache Bigtop Working Group. Cluster stuff. Cloud computing. Bigtop Administration. Make sure you are signed up on the bigtop-dev mailing list. Lots of info which will never get repeated if you miss it Bigtop -user, bigtop-dev. Bigtop Administration. Sign up for jira.

254 views • 17 slides

517 views • 15 slides

Tusk and Stone

Tusk and Stone. By: Adam Lee Mrs. Kelly Malcolm Bosse. Mahout.

325 views • 14 slides

Apache Mahout

Apache Mahout. Industrial Strength Machine Learning Jeff Eastman. Current Situation. Large volumes of data are now available Platforms now exist to run computations over large datasets (Hadoop, HBase) Sophisticated analytics are needed to turn data into information people can use

541 views • 9 slides

Dr. Kurt Stockinger Data Warehouse & Business Intelligence Architect Credit Suisse, Zurich

The Parallel Universe Effect between Data-Intensive Physics and Banking. Dr. Kurt Stockinger Data Warehouse & Business Intelligence Architect Credit Suisse, Zurich May 28, 2013. Typical Data Warehouse Reference Architecture. Customers. Products (CH). Products (US). Transactions (CH).

247 views • 5 slides