The big data platform provides real-time, batch and diversified other data acquisition modes. It has a development tool package that supports different systems and devices and thus can be rapidly scaled up according to enterprise needs.
Lenovo big data platform is based on Hadoop, Spark and other open-source ecologies. It comprises multiple core features and components and enables high-level integration and performance optimization of open-source technologies. It also enables deep optimization of the infrastructure layer. It establishes a generic resource dispatch management system based on the distributive storage system to efficiently support large-scale batch processing, interactive search computing, flow computing and multiple computing engines.
Metadata (metadata) is a data management tool of big data platform, which manages the metadata owned by enterprises, supports business view and physical view management of data, and can view the basic information of metadata, the location of data, the consanguinity of data, the impact analysis of data, the life cycle of management data, etc.
Task scheduling (taskscheduler) is an efficient graphical big data workflow configuration and execution management platform, which supports visual big data computing task construction ability. By encapsulating the complexity of the underlying technology and providing the visual operation of many computing modules, such as sql script, mr,spark scala,shell script, mysql/oracle, data import / export and so on, developers focus more on the computing itself than on the underlying technical details.
SQL search analyzer is an online search tool constructed on the basis of big data platform and enables data resource management, customized data search, timed task and file management. The user doesn’t have to master complicated big data development technologies. Instead, it only needs to be familiar with SQL grammar to perform search operations on mass data like that of a relational database and it can display the search results in a visual way.
Opens up data capacity on an as-needed and controlled basis and enables resource management for multiple users; allocate storage and computing resources, monitor the use thereof and calculate the charges by item..
The operation and maintenance management system of Lenovo's big data platform enables convenient graphical monitoring of operation and maintenance. With easier use, it enables automatic software deployment, real-time monitoring of the operating status of various nodes, authority control of various types of users, collective resource quota dispatch and automatic system warning.
The official release component installation version can be viewed.
Lenovo Big Data provides deep learning smart application platforms and comprehensive solutions for clients, including big data software and hardware, big data consulting, modeling and other services. It assists enterprises in using big data to accurately forecast market demand and establish a technology-driven big data analytics platform based on operating needs and oriented to full data and self-learning.
Lenovo Big Data has established a centralized and unified big data operation platform for the hospital’s applications and has thus set up an end-to-end medical data application system covering data acquisition, data storage, data analysis and data application for the hospital.