Streaming Data Big Data

Beijing time, November 30, Wired Magazine Network edition recently published article said, streaming video service provider Netflix is betting on big data, dream of becoming the next generation of HBO television network, without having their subscribers subscribe to cable TV services. The article points out that Netflix is using data mining and algorithms to provide an advantage because it has a huge dataset of 29 million subscribers ' viewing habits and preferences. The following is the full text of this article: Ride Hastings (Reed hasti ...)

The big data field has boomed in recent years. As a segment of big data, education big data has great potential to promote educational change. Big data technology is rapidly evolving, which opens up new possibilities for big data applications.

As the big data ecosystem becomes more and more perfect, more and more users with different backgrounds will join the ecosystem. How to reduce the user's entry threshold and facilitate users to use big data resources quickly and conveniently is also a problem to be considered.

Rap king Jay Z previously spent 56.2 million of dollars on the acquisition of the tidal music platform officially restarted the line, the conference site gathered numerous big-name stars, including Wukesong, Madonna, Rihanna, Kanye West, Usher, Nicki Minaj, Alicia Keys, Daft punk, etc. Jay Z Strong connections and the influence of many singers make tidal get very high attention, tidal only 24 hours online has attracted 6.5 million users, spotif ...

Big data is an important part of the Xinhua 3 strategic system. Yu Yingtao, president and CEO of Xinhua Group, pointed out that the core of the digital economy is data, and big data is the key means to drive data to create value. As an important part of the new IT strategy of "application-driven, cloud-led future".

"IT168 Information" March 12, 2013, IBM held 2013 large data press conferences in Beijing, fully demonstrating its unparalleled industry advantages in large data areas: from the industry's unique large data platform to the world's top large data analysis technology, from large data strategies to large data landing solutions, From a large data strategy for the enterprise consulting to IBM in the global and Chinese markets in different industries, large data practices, ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

With the full integration of it and communication technology into the social life, the huge amount of data generated every day contains great value, the data is becoming the strategic assets of enterprises. 　　It is one of the strategic directions of various industries, especially the telecom industry, to acquire new cognition and method from the mass data and create new value. Telecom operators are expected to become big Data Navigator Big data to our first feeling is big, then big Data how big? 　　A set of data called "one day on the internet" can give us some reference. During the day, all the content that the Internet produces can be engraved with 1.6 ...

Today, big data technologies, especially big data analytics, have evolved into an important part of most corporate strategies, and companies are under intense pressure to keep up with the rapid growth of big data.