For details about how to add an IP-domain mapping, see Modifying the Host Information in the Data Lake Insight User Guide. Kafka is an offline cluster. You need to use the enhanced datasource connection function to connect Flink jobs to Kafka. You can also set security group rules as ...
docker-compose up -d mysql grafana 在2 个终端种分别以开发者模式运行 lake 和 config UI: # run lakemake dev# run config UImake configure-dev 访问config-uilocalhost:4000来配置 DevLake 数据源 在"Integration"页面上找到到所需的插件页面 你需要为你打算使用的插件输入必要的信息 请参考以下内容,以了解...
Store data of any size, shape, and speed with Azure Data Lake. Power your big data analytics, develop massively parallel programs, and scale with future growth.
Teradata said it is going to open source its Kylo data lake management platform via its Think Big Analytics unit. Kylo(code on GitHub) has been based on experience working on 150 data lake projects for Fortune 1000 companies, said Teradata. Kylo emerged from code delivered by Think Big Analyt...
Help Center/ Data Lake Insight/ Developer Guide/ Flink Jar Jobs/ Stream Ecosystem Stream Ecosystem Updated on 2023-11-13 GMT+08:00 View PDF Share Overview Built on Flink and Spark, the stream ecosystem is fully compatible with the open-source Flink, Storm, and Spark APIs. It is enhanced...
LakeOpen Source Reliability for Data Lake with Apache Spark 李潇 大数据 Apache,Spark,大数据 DataBricks
Data lake architecture Data lakes are also commonly associated withApache Hadoop, an open-source software framework which provides low-cost, reliable distributed processing for big data storage. They were traditionally deployed on-premise, but as indicated in 451 Research’s report, adopters are quickl...
Data lake vendors The Apache Software Foundation develops Hadoop, Spark and various other open source technologies used in data lakes. The Linux Foundation and other open source groups also oversee some data lake technologies. The open source software can be downloaded and used for free. But softwa...
Discover centralized storage and metadata management for your structured and unstructured data with OCI Data Lake.
Data Lake Insight (DLI) Serverless stream processing, batch processing, and interactive analysis that enable the swift import of vast amounts of metadata into a data lake, fast ingestion of raw data in to a data warehouse, and effortless integration of BI and AI capabilities...