Shulou(Shulou.com)06/03 Report--

Cloud Wisdom (Beijing) Technology Co., Ltd. Lu Xinghai

1. He (big data) in 2014

2013 is known as the first year of big data of China. After nearly two years of continuous fermentation, by the end of 2014, with the publicity of the media, the research of scholars, the promotion of manufacturers and the in-depth exploration and practice of enterprises, big data has made a lot of application and development in various industries.

For example, there are currently about 600 official accounts about big data on Wechat, producing nearly 2000 translations or original articles every day, which will generate about 20 billion readings a day. in the whole year, this is equivalent to watching Zhang ailing's "Love in the City" 240 billion times in a year. (note: it is really big data)

It is precisely because of the big data craze that has promoted the investment and financing of big data in various industries and vertical sectors. As shown in the table below, the main big data financing consultation in the global market since the beginning of 2014 (February 15) (incomplete statistics source: 36 krypton).

1 using big data analysis to help the sales team find potential value customers, Infer raised US $10 million

2 Twitter acquires Lucky Sort, an analysis and visualization company of big data, for Twitter's own text mining

3 Splice Machine, a start-up on real-time big data platform, received US $15 million in financing

4 PlaceIQ, a mobile advertising startup based on geographic location big data analysis, received round C financing of US $15 million

5 Google Ventures US $130 million led the investment of big data to serve the Flatiron Health of oncology medical industry.

6 big data sales management service provider InsideSales received US $100m in round C financing with a valuation of nearly US $1 billion

6 PPDAI received tens of millions of dollars in round B from the speed of light, and the funds will be invested in the research and development of big data's credit information system.

8 Cloudera, a startup that provides big data systematic processing for the enterprise market, raised $900 million, and Intel invested $740 million

9 to make the interaction between the team and customers smarter, big data intelligent relationship management RelateIQ received another $40 million in financing

10 bring big data to any enterprise. Cloudera has just received a round of $160 million in investment.

11 move big data processing to the cloud, Israeli start-up SiSence received $30 million in financing

12 big data start-up Concurrent receives tens of millions of US dollars in financing

13 to get through the bottom and top levels of big data's technology, Trifacta announced that it had completed round C financing of US $25 million

14 big data start-up Metanautix, founded by former Google and Facebook executives, showed up with $7 million in financing

15 big data service provider "percentage point" received US $25 million in round C financing to release the strategy of "implementing big data"

16 big data analysis service company Hortonworks completed a financing of 50 million US dollars, after the famous Yahoo!

17 Salesforce acquires big data's intelligent relationship management startup RelateIQ for $390 million

18 SaaS,Duetto, which uses big data to analyze the pricing management of the hotel, received $21 million in round B financing.

19 big data analyzed cloud service GoodData was led by Intel Capital to raise US $27.5 million in round E financing.

20 Wecash, the first domestic big data credit evaluation company, received 40 million yuan in IDG A round financing.

21 EverString big data user forecast analysis engine received US $12 million in round A financing led by LightSpeed Capital.

22 to help companies better understand the data, big data startup Adatao completed a $13 million round of financing, led by a16z

23 "Yi Orange Technology" received tens of millions of dollars in round A financing, using big data in the workplace to improve the efficiency of HR.

24 Goldman Sachs bet on Asian big data market, Singapore big data Antuit received $56 million in new financing

25 big data analysis company Rubikloud received US $7 million in round A financing, most of the investors came from China

Using self-service BI to promote the consumerization of enterprise products, big data Visualization Company Yonghong Technology completed 50 million yuan A+ round financing

27 big data + machine learning + platform, so Dato took $18.5 million in round B financing

Reviewing the development of the entire big data industry, Qin Wen, CEO of Lianyuanxin Network, said that the biggest change in 2014 was from "talking about big data" to "using big data". I have the same feeling on this point. the constant attention of capital brings about big data's continuous practical and in-depth application in various industries. For example, Dangdang introduced consumer behavior analysis represented by Ranking Model as a recommendation system. Through the analysis of consumers' click behavior, it revealed the subtle relationship between click rate and consumer identity and goods, which increased sales by 100 million yuan. Through the processing of massive voice information, BoCom reduced the time spent on historical voice retrieval from 3 to 5 working days to 5 minutes, the retrieval feedback time was less than 100 milliseconds, and the tuning feedback time was less than 1 second. A few days ago, there was a piece of news on the Internet that credit card "arbitrageurs" earned nearly 10 million a year by exploiting bank loopholes, and finally, through the bank's implementation of big data fraud prevention monitoring platform, by setting corresponding indicators to monitor each credit card, so as to achieve the alarm to find.

These are just a few examples. In fact, there have been many active explorations and applications in various industries in 2014, as well as in the field of application performance management. As for what exactly is application performance management? What kind of spark can it produce when it meets big data, which will be discussed with you in the following chapters.

2. She in 2014 (Application performance Management)

The English abbreviation of application performance management is APM, and its full name is Application Performance Management. Is it APM? Let's start with an official definition, which is explained as follows on the wikipedia.org website: application performance management refers to the monitoring and management of software program availability and performance. In order to ensure a certain degree of service level, application performance needs to pay attention to the detection and diagnosis of application system problems. It is a bridge between complex IT data and business value realization.

Why is it application performance management in 2014? In fact, the concept of applied performance management was mentioned many years ago, but the development of the new generation of APM in China, it can be said that 2014 is its first year. It is precisely because of the continuous maturity and evolution of foreign related concepts and products and the urgent needs of the domestic Internet industry that this old concept has new connotations and technical characteristics. To visually explain the concept of APM, we need to review two concepts.

First: business, more vernacular, is the business that needs to be dealt with in various industries, business is the basis for the survival of any enterprise, because business means income, and the ultimate goal of enterprise operation is to bring reasonable profits through benign business operation.

Second: user experience, whether the product can be successful in the Internet era, user experience has increasingly become the key, when users use the product, the experience journey really begins, and whether this process is pleasant or not will directly affect the word-of-mouth of the product and affect sales. In terms of enterprise products and services, user experience is divided into three categories, as shown in the following figure.

Today, without e-commerce, the user experience of products and services has been recognized by almost everyone, and the importance of performance experience as a very basic link is self-evident. The two concepts of "application performance quality" and "business growth" are basically regarded as synonyms. Looking forward to the business growth of enterprises, it is necessary to continuously improve the performance and stability of key applications based on the experience of users.

The Internet, especially the rapid development of mobile Internet applications in various industries in recent years, not only brings huge business opportunities to enterprises, but also brings a new round of technical challenges. The change of network structure brought about by new technology and the uncertainty brought by the continuous development of network environment and network applications have a great impact on the stability of performance, and the deepening complexity of the network makes it on the edge of getting out of control. In the field of mobile Internet, the diversification of access modes, the diversification of terminal devices held by mobile users, and the complexity of network hierarchy and structure bring more serious problems to mobile network services. At the same time, with the increase and maturity of mobile users, their requirements for mobile Internet performance are getting higher and higher. People pay more attention to the senses and experience of the whole use process, and delay means failure. This has a huge impact on the business.

A recent consumer survey shows that 60% of users lose interest in applications (websites or App) that load for more than 3 seconds. Seventy-four percent of respondents said the waiting time would not exceed 5 seconds, and when faced with a poor-performing application, 1Universe 3 respondents said they would turn to competitors. Under the competitive pressure of such stringent user experience, the frustration of shoppers means not only the loss of business, but also the damage of brand reputation. To sum up, the performance of the application system has become a bottleneck restricting the development of the company's business. It is difficult to imagine that a system with slow response and poor experience can retain more users. At the same time, the complexity of modern applications increases unprecedentedly, and there are many factors that affect system performance, which brings great challenges to problem discovery and location.

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