What is the future trend of big data real-time analysis platform? How to choose?

As a customized version of Vertica's CreditEase-based analysis products, PetaBase-V provides real-time analysis services for big data. It adopts MPP, which can linearly expand the computing power and data processing power of the cluster. PetaBase-V is based on column database technology, which has the characteristics of high performance, high expansibility, high compression rate and high robustness, and can perfectly solve the performance problems such as slow report calculation speed and detailed data query.

At present, the research on big data technology can be divided into several directions: structured data analysis, text data analysis, multimedia data analysis, Web data analysis, network data analysis and mobile data analysis.

In the future, the main development trends of 10 big data:

The integration of big data and artificial intelligence;

Application of data analysis in interdisciplinary field;

Data science promotes multidisciplinary integration;

Deep learning has become the core technology of intelligent analysis of big data;

Use big data to build a large-scale, orderly and open knowledge system;

The security of big data continues to be worrying;

Open source continues to be the mainstream of big data technology; Comprehensive application of big data, cloud computing and mobile Internet;

Big data improves the government's governance ability, and the utilization, privatization and commercialization of data resources have become a continuous trend;

The construction of big data technology curriculum system and the rapid development of personnel training. The forecast of big data development trend is summarized as "integration, cross-border, foundation and breakthrough".

1. Big data analysis combined with intelligent computing has become a hot spot, including the combination of big data and artificial intelligence related technologies such as neural computing, deep learning and semantic computing. Thanks to the rapid development of computing technology represented by cloud computing and big data, the speed and quality of information processing have been greatly improved, and massive data can be processed in parallel quickly.

2. Data fusion analysis and application in interdisciplinary fields will become a major trend in the future development of big data analysis and application.

Because the existing big data platform is not easy to use, and the data analysis of vertical application industry involves domain expert knowledge and domain modeling, there is a big gap between the analysis and application of big data industry and general big data technology, and there is a lack of mutual integration.

Therefore, it is urgent to carry out interdisciplinary and interdisciplinary research on big data technology and application, and promote the application and landing of big data in typical and major industries, especially in hot technical fields such as Internet of Things, mobile Internet, cloud computing and social computing.

3. Big data security and privacy. In the era of big data, all websites open the real-time data generated by their users to varying degrees. Some market analysis institutions that monitor data can analyze and mine through various data combinations such as information written by people on social networking sites and location information displayed by smart phones.

However, data analysis in the era of big data cannot guarantee that personal information will not be illegally used by other organizations, so it is urgent to solve the problem of user privacy security.

Security intelligence emphasizes the integration and correlation of scattered security information in the past, and the integration of independent analysis methods and tools to form interaction, and finally realize intelligent security analysis and decision-making.

4. Enhance various visualization technologies and tools for big data analysis. Before analysis, it is necessary to explore the data.

In this process, visualization will play a huge role. After analyzing big data, in order to facilitate users to understand the results, we also need to display the results. In particular, visual mobile data analysis tools can track users' behaviors and allow application developers to evaluate their products from users' perspective. By observing the way users interact with applications, developers will be able to understand why users perform certain behaviors, thus providing a basis for perfecting and improving their applications.

In the future, enterprise users will choose a more reliable, safe and easy-to-use one-stop big data processing platform.

One-stop platform for big data includes: virtualization platform, data fusion platform, big data management platform and visualization platform.

Committed to providing customers with enterprise and big data platform services, helping enterprises to easily build their own data intelligence solutions, transforming from traditional applications to big data applications, and using the advantages of big data to deepen the business value system of enterprises.