Private Lakehouse

Business challenge

Data integration and governance are difficult

There is no unified data specification for cross-business and cross-department systems, and it is difficult to comprehensively manage and guarantee data quality.

Data security and privacy risks are high

Data silos are obvious, and the lack of unified security and privacy protection mechanisms is not conducive to the realization of unified data governance.

Technology selection and implementation is difficult

The selection of new data lake warehouse architecture is difficult, the current technical difficulties and business problems are prominent, and the lack of support ability.

Solution architecture

Scheme characteristics

Enterprise local construction

Build a unique, secure and controllable private data lake platform in an enterprise's local environment to store, analyze and manage enterprise data assets.

Technology combined

Fully integrate data warehouse and data lake technology to realize the data analysis system of batch flow fusion. Easily resolve heterogeneous data differences and compatibility issues.

Unified storage of multiple data formats

The data lake provides large-scale, highly concurrent, and low-cost data storage and analysis capabilities to efficiently process structured, semi-structured, and unstructured data.

Stable and reliable, excellent performance

Focus on the construction of highly stable and reliable private data lake warehouse, business-driven technology optimization, to ensure that the data lake warehouse to improve the performance of huge data processing.

Scheme value

Storage and computing separation architecture

Enhance the flexible scalability of storage clusters or computing clusters, simplify operation and maintenance complexity, improve cluster performance, and optimize and support a variety of workloads.

Smooth expansion and upgrading

In the business architecture, the role of the platform for new technologies, new ecology and new functions is flexibly used to ensure that the business architecture is in line with the optimization and evolution path of sustainable development.

Ensure data security compliance

Using the platform's perfect data security technical protection system, the goal of unified authentication, unified user, unified authorization, and unified control is achieved.

Promote cost control

Comprehensive and rich monitoring, continuous optimization of storage and computing resource use efficiency, promote efficient governance of data assets, and implement clear cost control plans.

Privatize the data lake warehouse