Onehouse Product Demo - Building a data lake for Github analytics at scale
Blog post from Onehouse
Onehouse is a cloud-native, managed data lakehouse platform available on the AWS marketplace that simplifies the process of building end-to-end analytics pipelines by automating data management tasks and offering enterprise-level security features. As demonstrated in a real-life use case involving Github analytics, Onehouse enables users to quickly set up data lakes, ingest and transform data, and conduct real-time analysis using tools like Amazon Athena and Preset. The platform supports incremental ETL transformations and provides built-in optimizations through Apache Hudi, including clustering, compaction, and cleaning, to enhance performance and reduce costs in large-scale data environments. By syncing metadata with AWS Glue, Onehouse facilitates seamless querying and visualization of data, making it a valuable tool for organizations looking to derive insights without the overhead of managing complex data infrastructures.
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