1. Difficulties in deploying the WeDataSphere open source big data platform
Are you troubled by building the WeDataSphere (hereinafter referred to as WDS) open source big data platform suite that includes basic computing and storage engines such as Hadoop, Hive, and Spark? Wish there was an easy and fast way to deploy and try out all the components?
If you have encountered the deployment trial problem of the WeDataSphere open source big data platform suite, now we have an exciting news!
The containerized version of WDS ALL IN ONE is born. (recommended for demo/development environment)
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WDS ALL IN ONE (hereinafter referred to as WDS containerized version) is a rapid deployment and trial solution for the WeDataSphere open source big data platform suite built on Docker. It integrates basic components such as Hadoop, Spark, Hive, Flink, MySQL, and WeDataSphere's open source Various components such as: DataSphere Studio, Apache Linkis, Schedulelis, Qualitis, Visualis and Exchangis, etc.
It allows us to quickly complete the deployment and startup of a full set of big data platform suites within 30 minutes, and has a built-in DEMO project for everyone to quickly experience all the features of WeDataSphere's open source components.
2. WDS containerized version
**WeDataSphere is a one-stop, financial-grade, fully connected, open source and open big data platform suite. **From the beginning of construction, the research and development path of open source + self-research has been established, relying on the strength of the open source community to jointly build financial-level big data platform capabilities.
At present, it has the complete ability of data development and application management, forming a "434" formation:
1. The front field is data analysis, data governance,