Why Using SQL for Data Application Development Might Be a Mistake
Data is a crucial component of any modern application or service, and how you process it can determine the success or failure of your app. While data is often stored in databases, relying on SQL queries for processing can be problematic. Let me expla...
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Rahul Jain
I think there no one size fit for all and for very large scale data processing it best to use distributed data processing tool Apache Spark and Apache Flink both support SQL which is very well structured and organized approach to build the ETL , support time slices joins and TTL bases materialized view and you can choose b/w sql/java/python to write your code . So one tools works with all.