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Hello everyone, I am an engineer from Yunqi China. Yunqi Lakehouse is a fully managed data management and analysis service with a lake warehouse architecture. The Yunqi Lakehouse uses a single engine to meet the needs of data warehouse construction, data lake exploration and analysis, offline and real-time data processing and analysis, business reports and other scenarios. It meets the scalability requirements of enterprises at different stages through the separation of storage and computing, Serverless elastic computing power, and intelligent optimization features. , cost and performance needs. Built-in data integration, development and operation and maintenance, data asset management and other ready-to-use services greatly simplify data development and management work and accelerate enterprise data insights and value realization.
We now have many customers in automobile companies, securities, retail and other fields. In the next step, we will also accelerate our pace of going out of China. In our self-developed project, Rath is used to Data Analysis for our customers. At present, we have forked a repo from the master, developed and integrated the clickzetta adapter ourselves, and verified the availability and stability of our adapter in the production environment. In my opinion Rath is a powerful and efficient library. If the community can accept and merge the clickzetta adapter, it will be a special honor for us.
If possible, I will follow the guidelines of the official documentation and submit a pull request for clickzetta adapter.
Our official website link is here: https://www.singdata.com/
Thank you all again and look forward to community responses.
The text was updated successfully, but these errors were encountered:
Hello everyone, I am an engineer from Yunqi China. Yunqi Lakehouse is a fully managed data management and analysis service with a lake warehouse architecture. The Yunqi Lakehouse uses a single engine to meet the needs of data warehouse construction, data lake exploration and analysis, offline and real-time data processing and analysis, business reports and other scenarios. It meets the scalability requirements of enterprises at different stages through the separation of storage and computing, Serverless elastic computing power, and intelligent optimization features. , cost and performance needs. Built-in data integration, development and operation and maintenance, data asset management and other ready-to-use services greatly simplify data development and management work and accelerate enterprise data insights and value realization.
We now have many customers in automobile companies, securities, retail and other fields. In the next step, we will also accelerate our pace of going out of China. In our self-developed project, Rath is used to Data Analysis for our customers. At present, we have forked a repo from the master, developed and integrated the clickzetta adapter ourselves, and verified the availability and stability of our adapter in the production environment. In my opinion Rath is a powerful and efficient library. If the community can accept and merge the clickzetta adapter, it will be a special honor for us.
If possible, I will follow the guidelines of the official documentation and submit a pull request for clickzetta adapter.
Our official website link is here: https://www.singdata.com/
Thank you all again and look forward to community responses.
The text was updated successfully, but these errors were encountered: