Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain time frame. , high growth rate and diversified information assets.
It is a very serious thing if software goes wrong, so everyone should be careful when choosing, and pay attention to the comparison of these aspects when choosing big data software: 1. Mass structured and unstructured data assets need to be used securely and shared. 2. The speed of data analysis tools, parallel acceleration. 3. Data updating and cleaning is time-consuming and labor-intensive. 4. It is necessary to collaboratively analyze and display data anytime, anywhere.
It is understood that Jingxing Big Data: ① Centralized data storage, multi-tenant architecture, hierarchical authorization access
② Unified data access portal, users can only use raw data within the platform, strictly control data export and file download
③ Unified ID card and single point Login, user behavior audit on the whole platform
④ Establish data parallel processing cluster, run data analysis tools such as R, Matlab, Stata, SAS in parallel
⑤ Compatible with big data frameworks such as Hadoop, Spark, Storm, etc., and share resources with data analysis tools
⑥ Provide anywhere The remote collaborative desktop supports various data visualization tools such as BO, HANA, etc.
⑦ Perfect platform monitoring and statistical reports, comprehensive monitoring and analysis of data and computing resources
⑧ Matching a variety of teaching and research environments (software programming, big data, cloud computing, energy exploration, biopharmaceuticals, weather forecasting, mechanical design, integrated circuit design, etc.)
What are the functions of Jingxing Big Data?
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