Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
The classic solution is to copy data from FTP to ADLS storage using Azure Data Factory, and after the copy is done in the ADF pipeline, trigger the databricks notebook.
Hi @ARINJAY JAINโ , We havenโt heard from you since @Debayan Mukherjeeโ 's last response, and I was checking back to see if you have a resolution yet.
If you have any solution, please share it with the community, as it can be helpful to others. Otherwise, we will respond with more details and try to help.
Also, Please don't forget to click on the "Select As Best" button whenever the information provided helps resolve your question.
The classic solution is to copy data from FTP to ADLS storage using Azure Data Factory, and after the copy is done in the ADF pipeline, trigger the databricks notebook.
Thank you, I will try it. I hope it works. If you're looking for the best online writing services for your college assignments, be sure to visit https://www.topwritersreview.com/reviews/essayusa/ It's an excellent resource that can help you make an informed decision and achieve your academic goals with confidence.
Is there a way to copy data from FTP into ADLS using PySpark in a Databricks Notebook (i.e. without ADF)? The following library (https://github.com/springml/spark-sftp) that some have recommended does not seem to include a PySpark API.
Spark connector for SFTP. Contribute to springml/spark-sftp development by creating an account on GitHub.
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.
