Tag：Big data
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Time：2019-12-16
These requirements are the nightmare of designers! There are some common problems in design because of the high threshold of design and the different aesthetic standards. For example, when designing, it is found that the materials are not enough and there is no unified standard that leads to the dissatisfaction of customers with the design […]
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Time：2019-12-15
When I was 10, the fortune teller told me that when I was 30, I would play with brother Ba every day.At that time, I was at a loss, thinking about who my brother-in-law was, but at the age of 30, I realized that I was really with brother-in-law day and night. At one time, […]
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Time：2019-12-14
Preface:The traditional retail business has entered a bottleneck period, and the concept of “new retail” emerges in endlessly, dazzling: Omni channel / unmanned store / Unmanned Container / New Ecology (HEMA fresh / millet home / tmall store), etc.; all kinds of technical concepts are even more confused: oneid, data center, user center, unified member […]
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Time：2019-12-13
Abstract:The branch of developers is dedicated to helping developers learn and understand the latest technologies of Alibaba cloud, and designing a full range of technological growth and advancement paths for developers. The activity of hi shopping season on Alibaba cloud in 2019 has been officially launched on February 25. From the opened activity page, the […]
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Time：2019-12-13
A brief analysis of the first generation map reduce principle. No nonsense, above. The figure above shows the schematic diagram of the first generation map reduce. Map stage is on the left and reduce stage is on the right. Map and reduce are each one process. First lookLeft map stage： Map data exists in HDFS. […]
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Time：2019-12-12
With the rapid decline of data communication cost and the emergence of various sensing technologies and intelligent devices, from bracelets, shared travel, intelligent electricity meters, environmental monitoring equipment to elevators, CNC machine tools, excavators, industrial production lines, etc., a large number of real-time data are continuously generated and sent to the cloud. These massive data […]
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Time：2019-12-11
The medical and health industry is one of the pioneers of adopting advanced technology both at home and abroad, because the stakeholders in the industry will be more close to the data and attach importance to the importance of data, so as to speed up the action on decision-making, in order to better the life […]
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Time：2019-12-10
In order to deal with the growing Internet data, many tools begin to appear, and the most popular one is the Hadoop system. In addition to the familiar Hadoop components such as HDFS, MapReduce, HBase, hive, the general big data processing platform often uses Kafka or other message queuing tools, redis or other caching software, […]
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Time：2019-12-9
I. background of flow calculationIn our daily life, we usually store the data in a table first, and then process and analyze it, which involves a problem of timeliness. If we deal with data at the level of year and month, the real-time requirement of many data is not high; but if we deal with […]
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Time：2019-12-8
Recently Alibaba shared the PPT of Alibaba data in Taiwan practice (searching original articles by itself). We still need to learn from the founder of data in Taiwan with great respect. So we carefully read it and hope to find something different. Reading these professional ppts is actually very time-consuming. You need to peel off […]
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Time：2019-12-7
When mongodb was started today, I didn’t pay attention to it before. Today, I found out that it was warning again. I want to make it whole. Here are the alarms 2019-09-05T12:00:55.271+0800 I CONTROL [initandlisten] 2019-09-05T12:00:55.271+0800 I CONTROL [initandlisten] ** WARNING: /sys/kernel/mm/transparent_hugepage/enabled is ‘always’. 2019-09-05T12:00:55.271+0800 I CONTROL [initandlisten] ** We suggest setting it to ‘never’ […]
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Time：2019-12-7
A brief history of deep learning Starting from the school of machine learning If we want to divide machine learning into schools, we can divide it into two categories: inductive learning and statistical learning. The so-called “inductive learning” is similar to the induction method we usually use in our study. It is also called “learning […]
