Slow query engines are forcing users to copy data from open data lakehouses into proprietary data warehouses to achieve their desired performance, but this results in a complex, costly ingestion pipeline that undermines data governance. In this talk, we will dive into the latest developments in data lakehouse querying, why you should avoid using proprietary data warehouses for accelerating queries, and how enterprises like Trip.com are unifying their SQL workloads directly on open data lakehouses.
talk-data.com
Speaker
Sida Shen
1
talks
Product Manager
CelerData
Sida Shen is a contributor to the StarRocks Linux project and a product marketing manager at CelerData. As an engineer with a background in building machine learning and big data infrastructures, he oversees the company’s market research and works closely with engineers and developers across the analytics industry to tackle challenges related to data lakehouse analytics.
Bio from: Data Universe 2024
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