The Elasticsearch SQL support really validates your point about SQL being the universal language. By adding SQL query capabilities on top of search indexes, they made their platform way more accessible to engineers who already know SQL. It lowers the barrier to entry and lets teams avoid learning yet another query langauge. This kind of SQL adoption across non traditional databases shows how essential it remains in modern data stacks.
The Elasticsearch point really resonates since they've done a solid job making SQL accessible on top of their search engine. It's become a lot easier to onboard teams when they can query search indices with familiar syntax instead of learning DSL. Your point about SQL being the universal languag in data teams is spot on.
This is an excellent article on such an important topic—SQL. It’s a language I’m truly passionate about, and I’m eager to deepen my knowledge through your course as well. I’m particularly interested in exploring how SQL can be applied through platforms like JIRA and Notion.
I really appreciate the structured and thoughtful way you’ve presented the concepts in this article—clear, concise, and impactful.
A quick question: do you happen to have an end-to-end project or case study that demonstrates SQL for data manipulation?
hey Baraa, excellent article as your usual .... modify step 3, to hour instead to minutes (If you want to go deeper into SQL, I made a 30-minute SQL course on YouTube)
I recently bought your course for SQL in Udemy and I am very excited about it and what you just shared. I will come back to this comment in no time to let you know my progress in Data Engineering and Data Science. Thanks Barra!
Hey Salikin Baraa - means Big name in the sufi culture, I understand 👍, thank you 😊, JAZAKALLAH QAIR
My role model
The Elasticsearch SQL support really validates your point about SQL being the universal language. By adding SQL query capabilities on top of search indexes, they made their platform way more accessible to engineers who already know SQL. It lowers the barrier to entry and lets teams avoid learning yet another query langauge. This kind of SQL adoption across non traditional databases shows how essential it remains in modern data stacks.
The Elasticsearch point really resonates since they've done a solid job making SQL accessible on top of their search engine. It's become a lot easier to onboard teams when they can query search indices with familiar syntax instead of learning DSL. Your point about SQL being the universal languag in data teams is spot on.
Hi Baraa,
This is an excellent article on such an important topic—SQL. It’s a language I’m truly passionate about, and I’m eager to deepen my knowledge through your course as well. I’m particularly interested in exploring how SQL can be applied through platforms like JIRA and Notion.
I really appreciate the structured and thoughtful way you’ve presented the concepts in this article—clear, concise, and impactful.
A quick question: do you happen to have an end-to-end project or case study that demonstrates SQL for data manipulation?
Thank you for sharing your insights.
Thanks for kind words. Yes I have full project on that for free https://www.youtube.com/watch?v=9GVqKuTVANE&list=PLNcg_FV9n7qaUWeyUkPfiVtMbKlrfMqA8
hey Baraa, excellent article as your usual .... modify step 3, to hour instead to minutes (If you want to go deeper into SQL, I made a 30-minute SQL course on YouTube)
Oh true! thanks
I recently bought your course for SQL in Udemy and I am very excited about it and what you just shared. I will come back to this comment in no time to let you know my progress in Data Engineering and Data Science. Thanks Barra!
Thank you so much for the support