Financial-level big data cloud services are not that unattainable,

Financial-level big data cloud services are not that unattainable,

For non-insiders, the IT system of financial institutions seems very mysterious. In the eyes of those who have seen more technology movies, the IT system is like this:

→ A inaccessible place that goes deep into underground or mountain data centers;

→ Multi-Channel Optical Cables, satellite communication facilities, multi-channel power supply lines, and large-scale generators on standby;

→ Strict monitoring and protection, uninterrupted 24-hour inspections and various security measures;

→ Fingerprint recognition, iris scanning, voiceprint verification, and smart card reading;

→ Data centers with protective measures against electromagnetic shielding;

Finally, we can see that the servers that are full of technologies are working happily, and various indicators are flashing constantly...

What is the actual situation? Financial institutions that are increasingly dependent on IT systems do not seem to be well positioned. Due to the sensitivity of financial data, any mistake may cause serious consequences that no one can bear.

In the era that all chat software can transfer money and make payments to complete various transactions, financial institutions, like other industries, have put digital transformation on the agenda, but this has caused a lot of problems.

 

Famous for its "security first, conservative and better"

Financial institutions

How easy is digital transformation?

In order to cope with challenges and meet new opportunities in the new era, China Merchants Securities took the lead in Scientific and Technological Innovation transformation in the securities industry and actively explored cloud computing and big data application models, we are committed to creating a flexible, agile, and dynamically scalable IT service architecture, hoping to quickly respond to business needs through leading mobile service platforms; in addition, the big data analysis platform is used to gain an in-depth understanding of customer behavior preferences, optimize product design, and build a Technical Service System Based on Customer segmentation to bring customers a better experience and value.

For any other industry, if you are faced with requirements similar to the above, the most suitable answer is: cloud migration! However, the migration of financial institutions to the cloud is not as simple as that of other industries.

The unique restrictions of securities companies make China Merchants Securities more rigorous when selecting cloud service providers. How to keep up with the market and solve security risks is an important part of their balance. By comprehensively considering resource allocation, security compliance, and business, China Merchants Securities selects Azure as the only cloud service provider, A big data platform solution based on hybrid cloud architecture is built through services such as Azure Server Load balancer, virtual machine, storage, Hadoop, and SQL database.

By running desensitized data in the Azure Hadoop computing group, Alibaba Cloud makes full use of the elastic scalability of the public cloud platform and connects the cloud deployment and local environment with VPN, to achieve seamless connection between local and Cloud analysis.

The platform currently has up to 2 million registered users and processes 0.1 billion million pieces of customer behavior data per day. In the traditional mode, it takes a lot of manpower for O & M. Seven colleagues, such as data centers, systems, storage, databases, middleware, and applications, spend about one hour each day; after Azure was adopted, it only took one person 0.5 hours to achieve a savings.

 

A small step on the cloud and a huge step on the industry

Azure provides comprehensive IaaS and PaaS support for China Merchants Securities so that they can quickly build the basic IT environment required for SaaS services based on their needs and business scale on the cloud to achieve fast delivery, greatly shorten the launch time. The smooth implementation of this hybrid cloud solution not only achieves system elasticity and data security, but also achieves efficient processing and storage of hundreds of TB-level data, the cost of manpower, power supply, network traffic, O & M, and license is greatly reduced, and the overall cost is reduced by about 50%.

With the advantages of efficient storage of Azure massive data, China Merchants Securities has also deployed two sets of customer behavior collection and web crawler systems on the cloud to analyze customer behavior preferences. At the same time, by collecting APP operation information, we also push customized messages to customers that better meet their needs to improve user experience, so that users can better understand enterprise products and services, improve Enterprise Image while enhancing user activity.

Low Oil, this cloud is really good!

As the first public cloud of international brands in China, Azure has interconnected data centers in Beijing and Shanghai. Its high-speed China Telecom, China Unicom, and China Mobile Network BGP are connected to the national backbone network, assists China Merchants Securities in building a real hybrid enterprise cloud platform. With the help of this hybrid cloud architecture, China Merchants Securities not only achieves system elasticity and data security, but also quickly completes data analysis on the public cloud to obtain new impetus to boost business.

Microsoft provides technical authorization. The Microsoft Azure trusted cloud operated by 21 vianet adheres to the four basic principles of security, privacy protection, compliance, and transparency, and is committed to building trusted public cloud services in various industries.

With the support of comprehensive and comprehensive protection measures, China Merchants Securities has begun to use Azure to spread its secrets on the road to digital transformation ~

 

Learn more:

Understanding Load balancer

Learn about virtual machines

Understanding about public cloud storage services

Understanding SQL database

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