A, big data company Internet giants

Internet giants start backed by e-commerce, social, information, games, finance and other huge concepts of the Internet era.

Tencent has user relationship data and social data based on this, Tencent's thinking is mainly to use data to improve products, focusing on QZONE, WeChat, e-commerce and other products of the back-end data through. Tencent's future lies in WeChat, which is now no longer focusing on IM communication, but connecting everything. In the future, WeChat is likely to become the largest entrance to the basic services of the entire Internet. At that time, WeChat also mastered everything of e-commerce, socialization, information, games and finance.

The Internet is a magical big network, big data and software customization is also a model, here quote, the beginning number of this hand technique is a handful of seven in the middle of the three children zero last is a Surabaya II five zero, in order to combine to find, I want to say, unless you want to do or understand this aspect of the contents of the content, if it is just a hilarious thing, do not come.

Alibaba has transaction data and credit data, more in the construction of data circulation, collection and sharing of the underlying structure. Which Alibaba's Taobao, Tmall, Alibaba, Alipay. Commodity transactions, payment data is the infrastructure of business. Alipay's transaction data has allowed Ali to dominate the mutual fund field for a long time. E-commerce surpasses retail either now or in the near future. So Ali's current possession of online business data is also equivalent to mastering part of China's commercial share.

Baidu's Baidu Search. Baidu's utilization of information comes from the needs of users and merchants, the user side serves the search needs of Internet users, and the merchant side matches advertisers with the advertising business of Internet users. In addition, Baidu also bet heavily on AI, AI if successful will revolutionize the basic services of society, such as driverless. So personally, I think Baidu still has a chance to return to the first throne.

With the huge volume and quality of data in the Internet era, it can be said that BAT has the best data talent today.

Two, big data companies industry giants

Industry giants individuals are divided into two categories.

The first category is IT giants, such as Kaiyun United, Xiaomi, Xinmeida, Wave, ZTE, Dawning and other companies. They have become leaders in their respective fields by virtue of having established technical barriers or service capabilities in the IT field.

The second category is traditional industry giants, encompassing a wide range of industries, finance, retail, energy, machinery, wine and other verticals. For example, have you heard of Moutai Wine Company's big data platform?

Because of the above industry giants' vertical data monopoly position and the data volume becomes larger, hoping to rely on the data to generate value . With these two points, the industry giants also have a lot of high-quality data talent.

But data is not their first driver. They have more important primary businesses.

Three, Big Data Startups

The main characteristic of this type of Big Data company is that it relies on Hadoop Big Data tools to address the market needs, to bring innovative solutions to the market and to push the technology forward.

Four, the new era of big data companies (i.e., big data third-party service companies) to explore the code big data

The new era of big data companies are personally divided into two major categories: basic service platforms, and commercial data analysis.

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

Business data analytics-type big data companies provide complex end-to-end data services, including data collection, cleaning, analysis, to help companies without data analysis and integration capabilities to understand the data, to recognize the data, and to make their own data useful.

Next we focus on some of the new era of big data companies, namely big data third-party service companies. Their features focus on Web data collection services, specializing in Internet data capture, processing, analysis, mining. It can flexibly and rapidly capture the scattered distribution of information on the webpage, and accurately mine the required data through powerful processing functions, which is the most used webpage collection tool at present.

It has four significant features:

First: Simple

Don't need to use any software, you just need to tell us your target website and what you are interested in, then you can get the data that we capture for you

First: Flexible

We have to use the same software as we do in the past, so we have to use the same software for all of our clients, so that they can get the data that we need. Strong>Second: Flexibility

The ability to get any data from any website, whether it's a static or dynamic page, makes it very easy to get the data.

Third: Fast

For a job that would take 20 people a day to complete, we can do it in a few hours. It saves you money, saves you labor, and puts you ahead of your competitors.

Fourth: Accuracy

Every column of the extraction results is exactly what you need, no more and no less. At the same time, the data will be filtered and calibrated according to your requirements

"Big Data" can be said to be booming in recent years, it is not only a business trend, but also a technological innovation that has changed the life of mankind. The importance of big data to industry users is also becoming more and more prominent. Mastering data assets, doing big data to store a handful of seven three 2011 Surabaya two five zero. Making intelligent decisions has become the key for enterprises to stand out. Therefore, more and more companies are beginning to pay attention to the strategic layout of big data and redefine their core competitiveness.

In this article, the author compiles the most influential companies in the field of big data active within China, some of which are giants in the field of computers or the Internet, and some of which are just recently founded startups. But they all have one thing in common: they all see the big opportunities that big data brings, and they don't hesitate to push into the field.

First of all, let's take a look at some of the established vendors that provide big data tools, and see how they are utilizing their advantageous position to impact the big data space and promote their new products and solutions to the new wave of technology?

Big data is more than cloud computing is an emerging term, but from (Table 1) in the list of some of the companies it is not difficult to find, in the industry, big data is seen by technology companies as another huge business opportunity after the cloud, including IBM, Microsoft, Google, Amazon and a large number of well-known companies have to dig into this market; in addition, many start-ups have also begun to join the gold rush team to big data! In addition, many startups have also begun to join the big data gold rush team, such as Cloudera, Clustrix and so on. But look at the domestic big data service provider market, the concept of big data, for domestic enterprises may still be slightly unfamiliar, in the most influential of the top 30 companies, domestic enterprises are still almost a blank, relatively speaking, the domestic big data started late, but there are still some companies spared no effort to invest in this blue sea of big data, and the development of the situation is good, the following is to take stock of the field of big data, the main domestic camp it!

Domestic companies doing big data is still divided into two categories: one is now already have access to big data capabilities of the company, such as Baidu, Tencent, Alibaba and other Internet giants, as well as Huawei, Wave, ZTE, and other domestic leaders, covering data collection, data storage, data analysis, data visualization, and data security and other areas; the other is the start-up big data companies, they rely on big data tools, in response to market demand, to provide the best service to the market. data tools to meet market demand, bring innovative solutions to the market and promote the development of technology. Most of these big data applications still require the services of third-party companies.

More and more applications involve big data, and the attributes of these big data, including volume, velocity, diversity, and so on, are presenting the ever-growing complexity of big data, so the analytic methods of big data are particularly important in the field of big data, which can be said to be the decisive factor in deciding whether the final information is valuable or not. Based on this, what are the more popular products for analyzing big data?

And in this, the brightest star is Hadoop, Hadoop has been recognized as a new generation of big data processing platform, EMC, IBM, Informatica, Microsoft and Oracle have been put into the arms of Hadoop. For big data, the most important thing is still the analysis of data, from which to 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 analytics tools.

With the explosive growth of data, we are being surrounded by all kinds of data. The correct use of big data will bring great convenience to people, but at the same time also bring technical challenges to the traditional data analysis, although we have entered the era of big data, but "big data" technology is still in its infancy, and further development to improve the big data analytics 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 in the enterprise, the enterprise has become the main body of big data application. Can big data really change the way businesses operate? The answer is undoubtedly yes. As businesses begin to utilize big data, we are seeing new and wonderful applications of big data every day, helping people to really benefit from it. The use of big data has been widely penetrated into every aspect of our lives, covering a wide range of industries including healthcare, transportation, finance, education, sports, retail, and more.