Big Data Processing

[Large data 100 points] Presenter: Bai Moderator: Carey Organizer: Zhongguancun Large data Industry Alliance zhongguancun Large Data Industry alliance specially invited white teacher to take the first "Big Data 100" Forum keynote speaker! Bai is a chief engineer of Shanghai Stock Exchange, Ph. D., PhD. She is a ph. D. tutor at the Institute of Information Engineering, Chinese Academy of Sciences. Also serves as the executive director of Chinese Information Society of China, vice chairman of the Securities Sub-Committee of the National Financial Standardization Committee. White teacher research and work in the field across the academic, industrial ...

[Large data 100 points] Presenter: Bai Moderator: Carey Organizer: Zhongguancun Large data Industry Alliance zhongguancun Large Data Industry alliance specially invited white teacher to take the first "Big Data 100" Forum keynote speaker! Bai is a chief engineer of Shanghai Stock Exchange, Ph. D., PhD. She is a ph. D. tutor at the Institute of Information Engineering, Chinese Academy of Sciences. Also serves as the executive director of Chinese Information Society of China, vice chairman of the Securities Sub-Committee of the National Financial Standardization Committee. White teacher research and work in the field across the academic, industrial ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

With the development of the industry, its business opportunities show a variety of trends. 　　"Big Data" was used in the 2014 vocabulary, but in fact, due to the lack of data, large data cleaning and analysis capacity, as well as data visualization bottlenecks, and other issues, "Big data" has been unable to delay landing. Recently, with the development of infrastructure, it means that the development of large data has come to a new critical point. System software supplier Software AG Gagan Mehra, on the VentureBeat website, elaborated his recognition of the next development of big data ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...

To understand the concept of large data, first from the "Big", "big" refers to the scale of data, large data generally refers to the size of the 10TB (1TB=1024GB) data volume above. Large data is different from the massive data in the past, and its basic characteristics can be summed up with 4 V (Vol-ume, produced, and #118alue和Veloc-ity), that is, large volume, diversity, low value density and fast speed. Large data features first, the volume of data is huge. Jump from TB level to PB level. Second, the data types are numerous, as mentioned above ...

In "2013 Zhongguancun Big Data Day" Big Data Wisdom City Forum, cloud Human Science and Technology CEO Wu Zhuhua brings to the theme "about intelligent city thinking-real-time large data processing opportunities and challenges" speech. He believes that the opportunities for large data in various industries are as follows: Financial securities (high-frequency transactions, quantitative transactions), telecommunications services (support systems, unified tents, business intelligence), Energy (Power plant power grid Monitoring, information collection and analysis of electricity), Internet and electricity business (user behavior analysis, commodity model analysis, credit analysis), other industries such as Intelligent city, Internet of things. Wu Zhuhua ...

If you talk to people about big data, you'll soon be turning to the yellow elephant--hadoop (it's marked by a yellow elephant). 　　The open source software platform is launched by the Apache Foundation, and its value lies in its ability to handle very large data in a simple and efficient way. But what is Hadoop? To put it simply, Hadoop is a software framework that enables distributed processing of large amounts of data. First, it saves a large number of datasets in a distributed server cluster, after which it will be set in each server ...

Ufida UAP Data platform has the ability of large data processing and analysis, it mainly relies on unstructured data processing platform Udh (UAP distribute for Hadoop) to complete. 　　UDH includes Distributed file system, storage database, distributed analysis and computing framework for Distributed batch processing, real-time analysis query, stream processing and distributed batch processing based on memory, and distributed data mining. In today's big data, companies can not blindly follow, but should understand why big data is so hot, why pay attention to it. Its ...

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...