Databricks - Data Engineering
Data Analysis
Hard Skills
This set of questions is suitable for those who will have responsibilities in Databricks relative to the area of Data Engineering. They are suitable both for people with short or no prior experience, provided they have minimal programming skills and knowledge of DataBricks, and for people with higher seniority.
Topics Covered
- Clusters, libraries and pools
- Use of notebooks and interaction between them
- Repository: What it is and how it can be used
- DBFS: What it is and possible operations
- DataBricks-CLI: Using the command line interface.
Author bio
Massimo Carro: Graduated from Politecnico di Milano in Computer Engineering. He has been working in data and cloud for over 10 years, with experience on Amazon AWS, Google Cloud, specializing in the last 5 years on Microsoft Azure both at IaaS and PaaS level. He currently holds the position of Head of Data Engineer in Arca Sgr, where he manages a development team. He works in the Azure environment and is involved in deepening the use of DataBricks (as an administrator and Python developer), DataFactory, Synapse and other cloud services. In previous experience he worked for GialloZafferano on search engine, for IlPost as a DBA and at Dentsu in building the corporate DataLake.