talend big data architecture

Infrastructure Department-platform Development team Lead software Engineer Description of responsibilities : 1. Enterprise-class Big Data platform architecture planning and design, to improve the storage and computing capacity of the platform, lead the team to complete technical solutions; 2. Large data base compon

required; When there is a large amount of data, such as the addition of hundreds of millions of daily events, the increase of 10T data per day; In real-time analysis of data, especially big data; When a high-availability, high-fault-tolerant, high-performance da

. Ironfan provides simple and easy-to-use command line tools for automated deployment and management of clusters based on Chef framework and APIs. Ironfan supports the deployment of Zookeeper, Hadoop, and HBase clusters. You can also write a new cookbook to deploy any other non-Hadoop clusters. Ironfan was initially developed by Infochimps, a U. S. Big Data startup, using the Ruby language and open source w

The 1th chapter on Big DataThis chapter will explain why you need to learn big data, how to learn big data, how to quickly transform big data jobs, the contents of the actual combat cou

relative to the traditional database connection, can deal with larger, deeper topological relations, can be performed on multiple cluster nodes, is indeed the modern data relationship research tool.Iv. Mllib Machine Learning Support FrameworkBy porting the machine learning algorithm to the spark architecture, it can take advantage of the underlying large-scale storage and the

, local through NIO to do socket connection test , 100 terminals simultaneously request a thread of the server, the normal Web application is the first file is not sent complete, the second request either wait, either timeout, or directly deny the connection, change to NIO, then 100 requests can be connected to the server side, the service side only need 1 threads to process the data can , to pass a lot of data