Terry McCann posts Q&A from Simon Whiteley’s session on Lakehouse models in Spark 3.0:
“WHILE ALL THE HADOOP PROVIDERS PROMOTED THE DATALAKE PARADIGM BACK THEN, HOW THE INDUSTRY AND THE OTHER DATA LAKE PROVIDERS ARE SHIFTING TO/CONSIDERING THE LAKE HOUSE PARADIGM?“
It’s a direction that most providers are heading in, albeit under the “unified analytics” or “modern warehouse” name rather than the “lakehouse”. But most big relational engines are moving to bring in spark/big data capabilities, other lake providers are looking to expand their SQL coverage. It’s a bit of a race to who gets to the “can do both sides as well as a specialist tool” point first. Will we see other tools championing it as a “lakehouse”, or is that term now tied too closely as a “vendor-specific” term coming from Databricks? We’ll see…
Click through for some good questions and thoughtful answers.