What an insightful read! Amazing work, Nolwenn! 😊 It's fascinating to see the parallels and differences in how different teams approach ETL and modern data infrastructure. Your perspective on the flexibility of ELT and the value transformation adds truly resonates. I especially appreciate your emphasis on involving internal teams and the continuous effort to foster a data mindset.
we discussed the intricate nuances between ETL and ELT, and how dlt seamlessly integrates both approaches. With features like automatic typing, renaming, and schema inference, dlt simplifies the often tedious parts of data preparation. It's interesting to see how your approach aligns with the flexibility and power ELT provides, just like how our tool ensures that the transformation phase is efficient and customizable.
Thank you for sharing your experiences! Looking forward to more such enriching discussions. 🚀
What an insightful read! Amazing work, Nolwenn! 😊 It's fascinating to see the parallels and differences in how different teams approach ETL and modern data infrastructure. Your perspective on the flexibility of ELT and the value transformation adds truly resonates. I especially appreciate your emphasis on involving internal teams and the continuous effort to foster a data mindset.
In our blog:
https://dlthub.com/blog/dlt-etlt
we discussed the intricate nuances between ETL and ELT, and how dlt seamlessly integrates both approaches. With features like automatic typing, renaming, and schema inference, dlt simplifies the often tedious parts of data preparation. It's interesting to see how your approach aligns with the flexibility and power ELT provides, just like how our tool ensures that the transformation phase is efficient and customizable.
Thank you for sharing your experiences! Looking forward to more such enriching discussions. 🚀
Aman Gupta, dlt Team