Big Data big challenge integration is the key

April 26, 2013-27th, the 2013 Global Technology Summit hosted by the 51CTO Media Group's wot (World of Tech) brand was held at the Renaissance Beijing Capital Hotel. This summit will focus on large data infrastructure and the application of the upper layer of the ecosystem, to solve large-scale data-related problems, explore large data base solutions, to stimulate the competitiveness of data mining, make the data sound. 51CTO as the host of this summit, will be the whole video, text broadcast live coverage of this data feast, more content please click on the topic: 2013 Big Data Global Technology Summit.

2013 major Data Global Technology Summit topics

Informatica Company Greater China Chief Product Advisor but bin for everyone brought a large data integration of the topic speech, but bin introduced, now big data into the industry popular language, there are a lot of places to use. However, with the rapid increase of data volume, the complexity of data sources and types, the technical personnel are more and more powerless to analyze the data, and if the data is integrated, the efficiency of data analysis will be greatly improved.

Technology breakthroughs bring the Internet age: 24 hours online, full network coverage, with the data explosion to make big data become popular language. The large data is large transaction data, large interactive data and large data processing, collectively, now a variety of enterprise data more and more, so large data is very useful to them, lecturers also share large data applications in some cases.

So what's the big data about? But the lecturer said that the big data is about innovation and cost, the more innovation, the lower the cost, the higher the data return, so everyone said that large data is a golden hill, reasonable use of large data, can drive the rapid growth of enterprises.

While the analysis and processing of large data relies on software frameworks, Hadoop is a framework that enables users to develop distributed programs without knowing the underlying details of the distributed system, thus leveraging the power of the cluster for high-speed computing and storage. It has a wide range of advantages, such as scalability, low cost, high efficiency, high reliability. There are a lot of big data systems built on the basis of Hadoop.

Finally, the instructor introduced Informatica and the case for data integration using Informatica. Founded in 1993 and focused on data integration, Informatica is now the world's leading provider of enterprise data integration software.

With Informatica comprehensive, unified, open, and economical data integration platform, organizations can improve the quality of data while accessing, discovering, cleaning, integrating and delivering data to increase operational efficiency and reduce operating costs. In the big Data age, Informatica can unleash the great potential of Hadoop, leveraging Hadoop and reducing costs, by dramatically optimizing and improving capabilities. As a case, but the lecturer talked about the application of Informatica data integration scheme in the interconnection Vehicle project, which is a typical large data project, through the Informatica integration scheme, realizes the enhancement user experience and enterprise's business ability.

(Responsible editor: Lu Guang)