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Liang: Good afternoon, I am the Super Cloud Product manager Leung Yiu-chung, thank you just now my two leaders to do a more wonderful speech, more vivid, give me half an hour to introduce you to the Yun Hui. Before I introduce this product or solution to you, I would first explain to you our company's corresponding concept of large data and large data corresponding solutions in our company. We have three questions to solve for big data or three questions to ask the customer, there are three. The first one, the customer's actual demand is what he is now in the big ...
Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...
Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...
How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...
How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo! North ...
According to IDC, global data will reach 10 trillion TB in 2015, and the annual composite growth rate will reach 38% in 2020. Due to the lower cost of data, the rapid increase of data volume, coupled with the emergence of new data sources and data technology has evolved a variety of data types. Big data is waving at us. With large data, large data analysis and proper management will have a great impact on the enterprise data center. As the world's largest database software company, Oracle is in time to launch a number of technology products for large data to meet the needs of enterprises and enhance their own value. ...
I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...
Large data technology is exciting, innovative and powerful. Large data technology can definitely bring business analytics to a new level ... But not now. The skills and best practices of business Intelligence (BI) have accumulated for many years in 1000 major global companies and countless smaller companies, and the relational database management system (RDBMS) is up to dozens of years. The products in these categories have excellent tool technology, manageability, and fault tolerance, providing interfaces for non-developer design, with carefully created data models that represent a great deal of input over the years. ...
"IT168 Review" Hadoop, a high-profile technology, has become increasingly popular with big data, with many vendors entering large data areas with Hadoop or similar technology. At the Strata+hadoop World Congress, these vendors released their big data products and were mostly associated with Hadoop. This article will be 10 major data manufacturers of the innovative technology inventory: 1.Cloudera. Cloudera is a professional engaged in Had based on Apache ...
Hadoop's High-profile technology has become increasingly popular with big data, with many vendors entering large data areas with Hadoop or similar technology. At the Strata+hadoop World Congress, these vendors released their big data products and were mostly associated with Hadoop. This article will be 10 major data manufacturers of the innovative technology inventory: 1.Cloudera. Cloudera is a professional engaged in data management software sales based on Apache Hadoop ...
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