Speaking of big data, big data has three layers: data collection, storage, and calculation.
The first is the data collection layer, services represented by App and saas.
The technologies that need to be mastered in the basic stage of big data are: Linux, Docker, KVM, MySQL foundation, Oracle foundation, MongoDB, redis, and hadoopmapreduce hdfs yarn, etc.
The second data storage layer, such as cloud storage, requires the following technologies: hbase, hive, sqoop, etc.
For example, as an open source framework, Hadoop is designed for offline and large-scale data analysis. HDFS, as its core storage engine, has been widely used for data storage. HBase is a distributed, column-oriented open source database, which can be considered as a package of hdfs, essentially a data storage, NoSQL database.
HBase is a Key/Value system that is deployed on hdfs, which overcomes the shortcomings of hdfs in random read and write. Like hadoop, Hbase's goal mainly relies on horizontal expansion and increases computing and storage by continuously adding cheap commercial servers. ability.
The third is the data computing application layer, based on data, for future mobile social networking, transportation, education, and finance. The technologies that need to be mastered in the big data architecture design stage are: Flume distributed, Zookeeper, Kafka, etc., And the technologies that need to be mastered in the real-time computing stage of big data are: Mahout, Spark, and storm.
The connotation of managing big dataThe dividend of the mobile Internet may be fading, but the data dividend has just begun. As the global data volume enters the explosive phase, artificial intelligence based on massive data deep learning is bringing about a new round of industrial transformation. "Data" + "Artificial Intelligence" will become the main line of technology investment in the next 5-10 years. This concept has not only emerged in Internet companies, but has also become a new engine for the traditional management consulting industry to carry out "Internet +" transformation.
Zhongyuan Dataju took the lead in the world to put forward the concept of "management big data" and completely built a management big data model and data structure (all have applied for intellectual property protection), established a powerful enterprise management database, and realized scientific management and management reforms for enterprises Provide solid management data support.
Management big data is constantly emerging and accumulated in the course of enterprise development, involving various management data in professional fields such as strategy, organization, human resources, and corporate culture. The integration of the management data of many enterprises can form a complete ecosystem of vertical integration and horizontal sharing of multiple ecosystems and cross-industry chains, which has the characteristic of "massive". Through the use of management big data, enterprises convert the value of data into time value, and then into management value and economic value.
1. In-depth service to major customers in the industry to realize the realization of commercial applications of data assets
As the world's leading integrated service provider for big data management, Zhongyuan Shouju has a management data reserve in more than 30 sub-fields. Zhongyuan Data comprehensively uses the latest big data mining technology and its own large amount of professional accumulation to help enterprises from all walks of life truly and effectively realize the application value of managing big data. Deeply integrate large and small data to solve the connection between structured data and unstructured data, help large enterprises in various vertical fields to make good use of data assets, create deep value, and help the transformation and upgrading of corporate management.
2. Establish and manage a big data trading platform to open up data islands
Zhongyuan Dataju will make every effort to build a "cloud platform" strategy in the field of big data. Use the Internet spirit of open sharing to gather long-tail big data, open up big data islands, and truly realize heterogeneous data sharing across industries and fields. Maximize the business prospects of data monetization.
Relying on its own research strength, Zhongyuan Data has invested in the construction of a management data resource pool, and gradually realized the creation of a management big data transaction platform. Through sharing and cooperation, deep into the management application layer of each sub-field, so that there is no difficult management data in the world.
3. Build a management big data ecosystem to achieve a comprehensive upgrade of the industry
"Compound interest" is known as the eighth miracle in human history. The information age has detonated the power growth model of the entire industry. In the future, "data assets" will become the strongest source of power to help companies achieve power growth.
Zhongyuan Dataju combines its own research strength and accumulation in the field of management big data, serves the entire management big data industry chain, builds a complete management big data ecosystem, opens up upstream, midstream, and downstream companies, and establishes a benign management big data field The circular system serves the management of large, medium and small companies in the field of big data.
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