A true story.
A commercial bank in preparation for the National Day holiday program planning large-scale marketing campaigns in order to promote consumption and old customers tap the potential customer. In general, business interests are usually carried out in cooperation with the electricity supplier, OTA, travel, O2O and other platforms, and even insurance companies, the line restaurants, cinemas, shopping centers, etc., in order to make optimal marketing effectiveness, data analysis and technical departments need and repeated communication needs of the business sector, to do for data acquisition, processing, cleaning, and open up the match, and finally through clustering and statistical analysis, the customer base will be divided, and to the corresponding business data analysis, but toss a month, Finally, the report found that the business sector is not strong executable content, marketing is less desirable.
This situation abound in the financial sector. As a marketing core banking requires a lot of manpower, communication and time data dimensions too small, not enough data to get through the degree, the business value of the data can not really put up with a lack of data loop, making the business of marketing ineffective. In fact, behind these phenomena reflect the common challenges currently faced by the vast majority of users: save any data, the flow does not move, with the bad, and the fundamental reason is that behind the data infrastructure can not effectively help users to prop up the digital age range based on innovative business applications and data.
This high level of technology as strong as the bank industry in the field of data infrastructure, there are great challenges, not to mention other industries. Future, building data infrastructure will inevitably become an important challenge for all industry users in the digital transition process to deal with the need to focus on.
Why data infrastructure is so important
Recently, the Chinese Academy of ICT and Huawei Technologies Co., jointly prepared and issued the "2019 White Paper Data Infrastructure", which is China's first white paper for the field of data infrastructure. The White Paper on the role of economic data for the era of digital positioning, status of data applications, the definition and characteristics data infrastructure and future trends in-depth interpretation.
The paper considered the most critical data is becoming the means of production digital economy, with the vigorous development of the digital economy are profoundly changing the effective application of production and lifestyle, the data will become a strong driving force of economic and social development, and 5G, cloud computing, big data, networking, artificial intelligence and other new technologies continued to promote the explosive growth of data.
Great challenge at the same time, the trend of explosive growth of data, mass data contains a huge value, but also to the user's "save any data, the flow does not move, with the bad" has become the most common phenomenon. The data stream does not move, for example, "Data Infrastructure White Paper 2019" describes the data needs like water flowing again, to break the "data barrier" to maximize the release of value, but at the moment the data stream does not move the main island facing applications, management silos, geographical data island "three islands", and count the force wall, network wall, wall media resources "three high wall."
In order to solve common problems "save any data, the flow does not move with the bad", "Data Infrastructure White Paper 2019" that the data infrastructure is the key to good data infrastructure can accelerate the realization of the value of the data.
White paper is that data infrastructure and infrastructure data management layers, where layers comprising a storage infrastructure, computing, networking hardware, data management by the operating system, database systems, and large data system components, and constituting the supporting data storage data lifecycle management software facilities.
Data infrastructure should cover access, storage, computing, data management and enable five areas, through data aggregation parties to provide "mining - exist - Operator - Tube - with the" ability to support the full life cycle, to build all-round data security system and create an open data environment, so that data stored Come on, get moving stream, used well, the data resources into data assets.
"Data Infrastructure White Paper 2019" that the data infrastructure should have the following five characteristics: integration, collaboration, intelligent, secure, open, to help companies achieve intelligent storage, simplify management and maximize the value of data. For example, in terms of integration, the White Paper believes patients need to be considered in a heterogeneous integration, integration of store count, database storage integration, integration agreement, five-level format performed fusion, thereby allowing data to flow together, so that data can be more convenient.
Overall, the "Data Infrastructure White Paper 2019" the first systematic exposition of the importance of data infrastructure, definitions, characteristics and trends. The white papers will not only allow users to have the importance of infrastructure data to fully understand, but also for the development of data infrastructure of the industrial chain has a role in promoting.
Data infrastructure has just started, need to strengthen ecological building
在数据基础设施领域，华为是业界走在最前沿的公司之一。华为在11月19日的全球数据基础设施论坛上正式宣布了其数据基础设施战略。华为数据基础设施包括数据存储、数据处理、数据管理系统以及数据虚拟化引擎（HetuEngine），华为希望通过融合、智能、开放的数据基础设施，对数据的采、存、算、管、用实现端到端的整合和优化。
“华为致力于让数据在全生命周期内好用，让每个比特的数据价值发挥最大，每个比特的数据成本最优，让合作伙伴像使用数据库一样使用大数据。”华为Cloud & AI产品与服务总裁侯金龙表示。
毫无疑问，数据基础设施依然处于早期阶段。由于数据产业涉及到多个细分市场以及众多市场参与者，往往需要数据、产品与服务之间的紧密协同，数据基础设施作为数据产业中的关键支撑环节，同样需要包括硬件、软件、开源等相关产业链上下游企业紧密合作，“平台+生态”将会是数据基础设施未来至关重要的发展方式。
正因为如此，在华为数据基础设施战略中，数据虚拟化引擎--河图（HetuEngine）是华为“平台+生态”的一大创举，河图引擎在整个数据基础设施中犹如核心枢纽一样，不仅可以屏蔽掉数据基础设施底层的复杂性，让开发者无需关注后台抽象的逻辑关系，也不用操心涉及数据存取用的具体细节，只需在更高层服用已有的生态、工具和技能，就可以实现2-10倍的开发效率提升。
与目前市场中热门的数据中台不同，华为河图引擎（HetuEngine）是一个让数据基础设施走向平台化的平台，它对下解决数据接入、数据共享的难题，对上有利于应用的数据分析与挖掘，真正浚通企业内部多个孤立的数据源，为企业的数字化转型厘清了数据和业务的逻辑，让数据重复实现了共享和全局应用，并且极大提升了数据资源的全面性、准确性和可用性。
此外，华为河图引擎（HetuEngine）让数据基础设施走向平台化，也将彻底改变过去数据孤立与割裂的局面，让数据的完整性、可靠性以及安全合规等问题得到充分保障。
Even more unusual is that Huawei is fully aware of the importance of ecological data infrastructure construction. Therefore, Huawei announced in June 2020 to formally open source engine Hetu, ecological partners will open northbound interface, southbound interface as well as the core engine. North to the open source interface component can ensure the diversity of applications on-demand access to facilitate the application of innovation; among the core engine is open source allows partners to participate in the construction of ecological data infrastructure; south to the open source interface component is to make data access more flexible , so that partners self-control, eliminating the risk of locking.
Huawei hopes Hetu engine (HetuEngine), can really create a data platform, and practice the "platform + Eco" strategy, so that customers and partners can use the database as easy as using big data. Compared to the past, we believe the data infrastructure solutions encompassing the stage, Huawei provided, will be more conducive to create a win-win environment.
In addition, Huawei also on the scene data infrastructure were classified as: Production trading scene, lake scene data, the edge of the scene, and introduced the corresponding data infrastructure solutions for these three scenarios: production-oriented trading scene OceanData, for FusionData lake scene, and intelligent data FusionCube 2.0 for the edge of the scene, covering a variety of products from AI chip, storage, big data to the database, intelligent operation and maintenance and management.
"Data Infrastructure White Paper 2019" is a starting point for data infrastructure industries, it marks the data infrastructure has become the consensus of the user community and industry. Although data on the specific definition of infrastructure there are still some differences, but the value and role of data infrastructure has become increasingly clear and prominent, with the introduction of the "Data Infrastructure White Paper 2019", I believe there will be more walks of life accelerate the construction of infrastructure user data in the digital transition, there will be more added to the chain partner data infrastructure among the largest ecological.