Massive Data is the Opportunity for Internet Industry
vividime's Solution for Internet Industry
With the development of the Internet, the number of Internet users in the world has exceeded 4 billion. The replacement of smart phones to functional phones has been basically completed, and smart phone users have formed a huge scale, which has led to explosive growth of data in the Internet industry. The products and services of the Internet industry cover various industries, including portals, e-commerce, instant messaging, search engines, telecom value-added, online games, video media, online travel, Internet finance, online education, online recruitment, social networks, and so on.
1.The value of the data is not unleashed
The data has been collected and initially used, but there is still a lot of information hidden in the data. Internet enterprises need better methods to analyze and use their data.
2.Massive data require high performance platform
Daily new data is at the level of tens of Tb and will soon reach hundreds of Tb. This makes enterprises have high requirements for data collection and processing. How to complete data collection and process within an effective and efficient time is a difficult problem that must be solved.
3.Different data standards without integration
Different departments have different methods of collecting and processing data, which leads to different standards for data, resulting in data islands. If they want to use all the data for analysis, additional cleaning is required.
4.High requirements for data sharing
Different applications have different requirements for data. How to allocate resources, how to share and provide data, how to control, and maximize the satisfaction of application needs while having flexibility and scalability are key issues in achieving data sharing and leveraging platform value.
Data Layer
Integrate different business information systems to achieve a view of all data.
Modeling Layer
Make different analysis themes for different analysis perspectives.
Display Layer
By presenting rich and beautiful charts and flexible interactive methods, the analysis results are presented to decision-makers and business users. IT and business departments can make different presentations based on their own needs.
Using Vividime high-performance VooltDB data market as the engine. VooltDB's distributed data market supports high concurrency and high availability. Each data mart is based on lightweight modeling details of a theme, and the data is distributed and stored on each node while also being backed up. The data is efficiently compressed, labeled, and stored on disk in a columnar format. When it is necessary to query and calculate, in memory computing is used for data calculation, and each machine node will calculate simultaneously, and the results will be sent to the application layer for display./P>
1.vividime Copilot can help enterprises find more undiscovered value in their data.
2.VooltDB can quickly process extremely large amounts of data, achieving sub-second computational responses for datasets spanning from tens to hundreds million. This can help the Internet industry quickly process the large amount of data they produce, and also support real-time updates.
3.vividime supports users to perform data cleaning internally and can help unify data standards.
4.vividime, as an end-to-end data analysis platform, allows all employees to analyze and share data on the same platform.
