Nosql Presentation

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Automatic expansion of NoSQL cluster on cloud

The chief technical officer of Schindler Yuncheng (Speedycloud) Dong at the meeting with a speech entitled "Automation extension of NoSQL cluster on the Yunping platform". Demonstrates how to create and initialize a NoSQL cluster on a cloud host, and how to detect a host failure through a monitoring system, and automatically invoke the cloud API for faulty device replacement, and finally show how to destroy a host from the command line. But because the time is hasty, did not give the small partner to leave too many time to carry on the question solution and the difficulty detailed introduction, therefore dong in ...

MongoDB Alliance Cloudera wants to conquer big data market

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets.   Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

Large data analysis drives security new ecology

According to IDC forecasts, in 2006 the world's data storage volume is 180,000 PB, and now this number has reached 1.8 million PB, and in 2015 years will reach 8 million PB. At the same time, analysis of the company's data shows that by 2015, the output of large data will reach 16.9 billion U.S. dollars. The big time we see Big data is coming quietly. Although data analysis has always been a part of IT industry, and data warehousing, data mining, business intelligence and so on has been continuously for the development of enterprises and innovation to provide value, but with the scale of the data index increase ...

Some questions about website data Analysis 3: Data Warehouse related issues

The intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall the article before--the website data analysis Some questions 2 mainly collates the bi related question, this article mainly wants to organize some data warehouse related question. Because I recently looked back at some data warehouse information and books, want to put forward as well as the current problems to come up (blog about data Warehouse related content Please refer to the website Data Warehouse this directory), at the same time they also have the knowledge of the data warehouse under the reorganization and understanding, and for a long time ...

The confusion of big data

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

Analysis of Tencent analysis system architecture

TA (Tencent Analytics), a free website analysis system for third-party webmasters, is highly praised by webmasters for data stability and timeliness, and its second-level real-time data update frequency is also recognized by the industry. This article will take you in-depth exploration of TA system architecture and implementation principles from many aspects of real-time data processing, data storage and so on. Web Analytics (Web Analytics) mainly refers to the site-based ...

Looking to the future of HBase

My Chinese name is Yu Zhihong. In the HBase community, more people know about Ted Yu. has been a member of the HBase PMC since June 2011. At the HBTC 2012 conference, I was pleasantly surprised by the wide adoption of hbase in China. Famous companies such as Taobao, Huawei, Intel and IBM all recognise HBase. HBase has become a de facto nosql solution in the United States, a trend that is more pronounced in China. I am delighted to see the company's contribution to HBase. In the introduction NoSQL ...

"Bdtc Sneak peek" Lu Yi Lei: The practice of Hadoop in advertising monitoring technology

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

Xinhua Sanzhong releases big data products to create big data industry and ecosystem

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".

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