Which companies in China can provide big data services?

First, big data companies Internet giants

Internet giants all started with huge concepts such as e-commerce, socialization, information, games, finance and so on.

Tencent has user relationship data and social data generated based on it. Tencent's thinking is mainly to improve products with data and attach importance to the back-end data of products such as QZONE, WeChat and e-commerce. Tencent's future lies in WeChat, which no longer focuses on IM communication, but connects everything. In the future, WeChat is likely to become the biggest entrance to the basic services of the whole Internet. At that time, WeChat mastered everything about e-commerce, social interaction, information, games and finance.

The Internet is a magical big network, and big data and software customization are also a model. Here's a quote. The starting number of this skill is a pure one, with three zeros in the middle, and finally a four-two-five zero. You can find it by combining them in order. What I want to say is, unless you want to do or understand this, if you just join in the fun, don't come.

Alibaba has transaction data, credit data, and more is to build the underlying architecture of data circulation, collection and sharing. Among them, Alibaba's Taobao, Tmall, Alibaba and Alipay. Commodity trading and payment data are the infrastructure of business. Alipay's transaction data makes Ali occupy a dominant position in the field of mutual gold for a long time. No matter now or in the near future, e-commerce has surpassed retail. So Ali's current online merchant data is equivalent to mastering the commercial proportion of China.

Baidu Baidu search. Baidu's use of information comes from the needs of users and businesses. The client serves the search needs of Internet users, and the merchant matches the advertising business of advertisers and netizens. In addition, Baidu also made a big bet on AI. If AI succeeds, it will completely change the basic services of society, such as driverless driving. Therefore, personally, Baidu still has a chance to return to the first throne.

With the huge amount of data and high-quality data in the Internet era, it can be said that BAT has the best data talents today.

Second, big data company industry giants

Industry giants fall into two categories.

The first category is IT giants, such as Kaiyun United, Xiaomi, Xinmeida, Inspur, ZTE, Shuguang and other companies. They have become the best in their respective fields by establishing technical barriers or service capabilities in the IT field.

The second category is the traditional industry giants, including all walks of life, finance, retail, energy, machinery, alcohol and other vertical fields. For example, have you heard of the big data platform of Maotai Liquor Company?

Due to the monopoly position of vertical data of the above-mentioned industry giants and the increasing amount of data, I hope to rely on data to generate value. With two points, industry giants also have many high-quality data talents.

But data is not their first driving force. They have a more important main business.

Third, big data startups.

The main feature of this kind of big data companies is to rely on Hadoop big data tools to bring innovative solutions to the market and promote technology development to meet market demand.

Fourth, companies in the new era of big data (namely, big data third-party service companies) explore big data.

Big data companies in the new era are divided into two categories: basic service platforms and business data analysis.

Basic service platform provides basic services of data platform, such as big data storage platform, computing platform, BI platform and data trading platform.

Big data companies with commercial data analysis provide complex end-to-end data services, including data collection, cleaning and analysis, and help enterprises without data analysis and integration to understand and recognize data and make their own data work.

Next, I will mainly talk about some companies in the new era of big data, namely big data third-party service companies. Their characteristic is to focus on network data collection services, specializing in Internet data collection, processing, analysis and mining. It can capture scattered information on web pages flexibly and quickly, and accurately mine the required data through powerful processing functions. It is the most widely used web page acquisition tool at present.

It has four remarkable characteristics:

First: simplicity

You don't need to use any software, just tell us your target website and what you are interested in, and you can get the data we grabbed for you.

Second: flexibility

It is very easy to get any data from any website, whether static or dynamic.

Third: fast.

For a job that requires 20 working days, we can finish it in a few hours. Save money and effort, and let you get ahead of your competitors.

Fourth: accuracy

Every column of the extracted results is what you need, no more, no less. At the same time, the data will be screened and verified according to your requirements.

"Big data" has flourished in recent years. It is not only an enterprise trend, but also a technological innovation that changes human life. The importance of big data to industry users has also become increasingly prominent. Master data assets and make big data into stores. Intelligent decision-making has become the key for enterprises to stand out. Therefore, more and more enterprises begin to pay attention to the strategic layout of big data and redefine their core competitiveness.

The author sorts out the most influential enterprises active in the field of big data in China. Some of them are giants in the field of computer or internet, and some are newly established start-ups. But they have one thing in common, that is, they all see the big opportunities brought by big data and advance into this field without hesitation.

First of all, let's take a look at the established vendors who provide big data tools and see how they use their dominant position to impact the big data field and promote new products and solutions to a new wave of technologies.

Big data is a new term than cloud computing, but from some companies listed in table 1, it is not difficult to find that in the industry, big data is regarded as another huge business opportunity after cloud computing by technology companies, including a large number of well-known companies such as IBM, Microsoft, Google and Amazon. In addition, many start-ups have also begun to join the gold rush team of big data, such as Cloudera and Clustrix. However, looking at the domestic big data service provider market, the concept of big data may be a bit strange to domestic enterprises. Among the top 30 most influential enterprises, domestic enterprises are almost blank. Relatively speaking, domestic big data started late, but some enterprises still spare no effort to invest in the blue ocean of big data, and the development trend is good. Let's take a look at the main camps in the domestic big data field!

Domestic big data companies are still divided into two categories: one is companies that have the ability to obtain big data, such as Internet giants such as Baidu, Tencent and Alibaba, and domestic leading enterprises such as Huawei, Inspur and ZTE, covering data collection, data storage, data analysis, data visualization and data security; The other is the start-up big data companies, which rely on big data tools to bring innovative solutions to the market and promote technological development according to market demand. Most of these big data applications still need the services of third-party companies.

More and more applications involve big data. The attributes of these big data, including quantity, speed and diversity, all show the growing complexity of big data. Therefore, the analysis method of big data is particularly important in the field of big data, which can be said to be the decisive factor to determine whether the final information is valuable. Based on this, which products that analyze big data are more popular?

One of the most dazzling stars is Hadoop, which has been recognized as a new generation of big data processing platform. EMC, IBM, Informatica, Microsoft and Oracle have all embraced Hadoop. For big data, the most important thing is to analyze the data and find valuable data to help enterprises make better business decisions. Below, let's take a look at the following top ten enterprise-level big data analysis tools.

With the explosive growth of data, we are surrounded by all kinds of data packets. The correct use of big data will bring great convenience to people, but it also brings technical challenges to traditional data analysis. Although we have entered the era of big data, "big data" technology is still in its infancy, and further development and improvement of big data analysis technology is still a hot spot in the field of big data.

In the current Internet field, the application of big data has been very extensive, especially for enterprises, which has become the main body of big data applications. Can big data really change the way companies operate? The answer is undoubtedly yes. As enterprises start to use big data, we will see new and wonderful big data applications every day to help people really benefit from them. The application of big data has penetrated into all aspects of our lives, covering medical, transportation, finance, education, sports, retail and other industries.