Big data promises a lot in terms of business value, but enterprises may have difficulty determining how to deploy the architecture and tools that need to be utilized. Everything from descriptive statistics to predictive modeling to artificial intelligence is provided by big data. The organization hopes to achieve this goal through big data and will determine the tools it needs to launch. Benefiting from the development and maturity of the entire big data ecosystem, the open source system with Hadoop as the core has undoubtedly become the selection standard for the B-end big data architecture. At the same time, the rise of cloud big data ecology in recent years has also provided very valuable basic support for the construction of B-end big data applications.
In the future, with the further integration of B-side application data and capabilities, I believe that enterprise-oriented big data platforms will receive more and more attention from the society, and gradually penetrate into the industry's scene applications, allowing industrial intelligence to promote the quality of supply-side reforms. Effectiveness improvement helps companies further enhance their competitiveness. If you want to learn big data systematically, you can join big data technology to learn the deduction : 522189307
