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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 ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

Present situation analysis and future trend of large-size Chinese data

Has the "Big data" era come? The trend is a ridiculous and respectable force: today, if you open any media, if not mention "big data", I am afraid to be embarrassed to publish. This trend is so overwhelming that even state leaders are no exception.   The question is: Why does everybody say Pro data? The value of data, with the exponential growth of data volume, has no longer been able to show through the traditional charts, which is why business intelligence has not yet become popular, has been "data analysis" to squeeze the stage. Because, the value hides in the data, needs the data analysis to be able to release these ...

Website Data analysis: Multidimensional cross analysis to troubleshoot Web site data exceptions

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall We are in the data analysis, most of the time in the use of trend analysis, comparative analysis, subdivision analysis of these three methods, but there is still a way we will often use-cross analysis, especially when troubleshooting data anomalies, Cross-analysis reveals its power. In addition to say sorry to everyone is the blog update frequency may not be so frequent, but as far as possible to publish at least a month, hope that the quality of the article is guaranteed, or welcome to comment on the discussion, can send ...

Analysis and discussion on the basic structure of website Data Warehouse

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

An analysis of 2013 years ' application and trend of large data

In the Internet industry, 2013 can be said to be recognized as a trans-era significance of the "big data year." In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak.   However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies are already starting to practice big data. To learn more about China ...

Data analysis still in infancy? See TalkingData The key factors in the entry into force of large data

It is an important goal for us to realize the improvement of enterprise operation efficiency through large data technology, but this work is not easy for every enterprise. On January 21, "1 billion said TalkingData mobile Internet Industry index Data Report", a number of industry experts and senior talkingdata for us to share the release of large data value existing pits, and how we can solve. The so-called 1 billion said, refers to the TalkingData platform now covers 1.06 billion of mobile smart devices, including iOS, an ...

5 High replication usage scenarios and case sharing for large data analysis

From August 19, 2014 to 20th, the "2014 China International Data Conference" was held at the Ambassador Hotel in Beijing.   The following is Zhu speech by general manager of IBM China Development Center information Management Software Department.   Point of view concentration: 1, large data this matter, if it has a life cycle, I think it has not exceeded its infancy;   2, the charm of large data is not that it is big, but it is such a large number of data can produce more and more value before. 3, the big data is not only refers to the new data, in this society, the most valuable data is still ...

Industry Analysis: How to use data to drive sales

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall billion Power network case Center editor-in-chief Wei The Science and Technology COO Zhang Shaofeng The Korea all clothing House PR director Chen the electricity merchant experienced the extensive brutal growth, gradually enters the fine operation stage, the data mining and the analysis also becomes the new target which the electricity merchant enterprise exerting force.   What data mining directly drives sales growth in the finer battles of this data? How do I turn data into sales? Less than 5% power companies have data mining team billion power ...

The new opportunity and challenge of open source in the era of large data

Open source Hotspot Inventory 1984, Richard Stallman launched GNU and Free Softwarefoundation, which has been open source for more than 28 years. From the bottom of the operating system to advanced desktop applications, there are open source footprint. Linux, which is especially open source operating system, is a controversial issue and is subject to many commercial attacks.   Many people like to put open source and business together, to accuse Open source is how "irregular", "energy consumption", "instability" and so on, especially Microsoft. Talk about ...

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