"Consider this: how often does the open-source community embrace a technology just because it is the corporate orthodoxy? The answer is: probably not ever. If the open-source community believed that there was a better language for basic data analysis, they would be implementing it. Instead, a huge range of emerging projects, as mentioned earlier, have SQL at their heart The simple conclusion is that SQL has emerged as the de facto language for big data because, frankly, it is technically superior. Let’s examine the four key reasons for this:Why SQL is becoming the goto language for Big Data analysis (The Data Warehouse Insider)
1. SQL is a natural language for data analysis.
2. SQL is a productive language for writing queries.
3. SQL queries can be optimised.
4. SQL is extensible."
Thursday, October 02, 2014
Why SQL is becoming the goto language for Big Data analysis (The [Oracle] Data Warehouse Insider)
Setting the stage for a YesSQL session at Oracle OpenWorld this week; check the full post for more details