Time like the Pentium surging rapids, it is a no go also, without nostalgia.
- Cervantes
China Software Network Daily Collection
June 23, Shanghai college entrance examination results announced. Students and parents can, government public information website, and even micro-channel, Alipay, telephone hotlines and other forms of Review score by the Examination Yuan website.
This now looks very ordinary data online business, it is hard to imagine in the past. Examination Yuan from Shanghai to the Shanghai data center, to complete the data collection, transmission, storage, processing, analysis, and then to get through each channel number of service applications, the majority of students and parents to provide online data services, inseparable from behind data technology efforts and programs.
Liu Wang root star Central Technology Development Director said, in fact, only Shanghai Kaofenchaxun one kind of big data online services. As a "smart government" infrastructure, Shanghai will rely on large data center hub of the city, to build the city's data sharing system resources, the development of resource data collection, management, sharing, openness, applications, security and other technical standards and management practices, break department "data islands", so as to promote government services "run errands data" from "the people run errands" to change.
June 28, Star Central Technology malls and the first stop of the tour came to Beijing. Liu Wang root in his speech, the same companies began to address the legacy of the previous data analysis data island issues, and building systems in addition to analyzing online data services outside the business system. + + AI large cloud data integration, on a private cloud platform, cloud PaaS platform to provide data to support enterprises to build resilient, flexible data services and applications.
Enterprise Cloud will support the resilient, flexible data services and applications
With the increasing number of front desk staff or the business end demand for data services, companies need to develop a lot of new data applications to ongoing iterative business, improve the user experience, including real-time class, a number of innovative AI class, business class online data and try. Therefore, we need better data hierarchical design and modeling, offers a variety of data computing power, and can be elastic stretching according to the workload and ultimately need cloud computing technology to support flexible, flexible data services and applications.
Requirements for data service cloud platform has also undergone a fundamental change, and presents several features:
First, the development of ideas digital age business applications need to shift from a product-centric, and shift to user-centric experience.
Second, the development mode from the single mode application development into a micro-services development model. Monomers application development is that many people involved in the same project, often re-coupling, low development efficiency, create the wheel often repeated, long development cycle, and often is "indeed affect the whole body."
The micro service is a method to serve a single application kit form consisting of many small service building software, each service has its own micro-lightweight data processing module and communication mechanisms can be developed and deployed independently. It is possible to deliver faster, more flexible operation and maintenance, and to avoid repeating off-create the wheel.
Third, the enterprise data model developed by the core business outsourcing, to become self-study mode, or to regulate development by new management, either self-built R & D team. When the order to improve the micro-services, applications can be precipitated as the center for the whole company and the whole industry energized.
Break the bottleneck of traditional cloud computing PaaS cloud data several advantages
A lot of practice shows that companies often encounter a lack of innovation in the digital coherent program, the lack of a unified development platform, data asset management chaos, there is no technology and standards on business technology challenges. Meet these challenges, we need to use the latest technology to build applications and data services as the core data cloud platform.
Liu Wang said the root, PaaS cloud of advanced data in several ways:
First , the design ideas, data-centric, business-as-oriented, business innovation can accelerate the speed. Data, applications, and intelligence is digitized three core raw materials, the need to provide a complete tool chain including data analysis, application development and intelligent modeling, etc., on a PaaS platform, and is open to as many users to try innovation.
Second , the technical realization, from the traditional to container virtualization technology upgrade technology. Container technology effectively solve the performance problems of virtualization technology, lightweight, flexible capacity and better meet the needs of micro-services, can improve resource utilization data centers, while able to provide better services to micro the flexibility and scalability. Through technological innovation, container technology also can support complex business systems, including distributed databases, including, but can also provide multi-tenancy, automatic scaling, automation redundancy and other capabilities, business developers to further reduce the difficulty of the operation and maintenance of .
Third, in the management level, the control will be better and better integration into interoperability. Application may run anywhere in a public cloud, private cloud, and so may have the edge end computing power, but also with business and precipitation data, the application will have the ability to cross-cloud, interconnection of data, such as cloud and collaborative end edge .
Star ring data in the cloud is the technology for large enterprise data PaaS application development
In order to meet the needs of enterprise data online service, support elastic, flexible data services and applications, science and technology to build the star ring data, applications, intelligent integration of digital data PaaS cloud platform. In May this year the star ring Transwarp Data Cloud 2.0 version release.
Liu Wang said the root, and traditional cloud compared to the data cloud has a completely different design ideas, which uses a new generation of cloud-native technology to create data-centric by providing complete data, applications and intelligent development tools, data and applications cloud interconnection of.
Architecturally, said chimney technology stack data in the cloud formed from the traditional to the application-driven development, the pursuit of shared services into a hierarchical design reuse ideas. Enterprise Data Cloud includes the underlying technology, data service layer and business center services layer.
最上层是直接服务于业务的服务层，提供App、Web等的访问和交互能力；中间层是企业的数据业务中心，包含企业沉淀的各种有效的业务服务和数据服务，数据都做了有效的建模形成数据资产，可能包含数据仓库、数据湖或者数据中台的建设；而最底层应该是云基础平台，提供包括大数据、AI、Kubernetes、容器、数据库、计算、网络、安全等在内的技术能力。
刘汪根说, 企业的数据业务中心经过发展和沉淀，可以形成企业的数据中台和业务中台，是企业数据和业务能力的积淀。
这一数据云PaaS的核心是把可以共享的能力抽象为可以“自助、自动化”的服务，无论是数据库、大数据、AI建模、应用开发、微服务能力等，甚至是技术栈的管理，都可以被抽象为可以被大规模复用的服务。
为了有效的融合数据、应用和智能，TDC提供了DB-PaaS、Application PaaS和Analytic PaaS三个核心模块。
首先，星环科技已经能够提供几乎所有的数据库品类，包括分析型数据库Inceptor和闪存数据库ArgoDB，覆盖包括图数据库、Bigtable、文本搜索在内的NoSQL数据库，提供实时计算引擎Slipstream，以及交易数据库KunDB，所有的数据库都采用分布式技术来实现，并大规模在生产落地。因此，TDC是目前提供最完备的DB-PaaS能力的私有云产品。
第二，TDC也提供齐全的应用PaaS能力，企业可以将通过TDC来建设DevOps流程，TDC提供包括Spring Cloud、go、NodeJS、python、java、PHP在内的标准化的应用开发框架，帮助研发团队更快的开发和运维微服务。
Third, in the analysis platform, Star Central Technology Transwarp Studio toolset includes data development IDE, task scheduling data, data synchronization and ETL, OLAP Cube model, including graphical development tools to improve the efficiency of large data development. Also it provides asset management tools and data visualization analysis tools, and provides the ability to exchange and share data across tenants and accelerate collaborative innovation between data workers. In the intelligent modeling, satellite, Central Technology Sophon to-end data modeling capabilities, and Sophon NLP, knowledge maps, video analysis module can be more direct application to the impetus provided intelligence.
Big Data doubt to many enterprises has brought the dawn break through the competition, for most companies the most sensible decision-making data-driven and customer-driven. + + AI large cloud data integration tools from the purchase, construction data to the cloud platform to support resilient, flexible data services and applications, it is necessary to climb on the way to the cloud and the enterprise.
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