Ad-hoc query/batch offline processing computing capabilities are available to meet the needs of massive data ETL and interactive query.
Simple setup can quickly carry out data analysis work, and underlying construction and operation and maintenance of the cluster are fully managed.
Task development, user-defined features and task scheduling features are available to support the task development via WEB/IDE/CLI/SDK by developers.
A security mechanism is set up for data storage and access with multi-dimensional authority verification mechanism for data operation.
Data Compute enables seamless integration with various tools (e.g. Data Integration, Stream Compute and BI report) provided by JD Cloud, and assisting the user in unified collection, storage and computing of enterprise data. Data Compute provides the executive capacity of SQL/Python data development and operation, capable of giving goods supports to data cleaning and data processing logics. In combination with its elastic resource computing & management capacity/complete authority management system, Data Compute can help enterprises quickly set up a PB-level enterprise data warehouse.
Data Compute Service, as a new cloud data warehouse, can not only process and analyze the data in the warehouse, but also provide default support to Object Storage Service on Cloud. The users can directly process and analyze the data on the Object Storage Service (such as data of such types as log, text and csv) by utilizing elastic Data Compute and SQL/Python computing environment. The processed data can be written back to the Object Storage Service, and release related compute resources as well, lending low-cost support to the data cleaning and processing scenario.
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