Hello, I couldn't decide between going for Data analyst roles or DBA as a beginner? Can you tell which one is more beginner friendly? And easier to break in to with just few certs and projects?
@@bestechdeals4539 Hello there. It's an interesting question because both are totally different matters. I would say that Data Analyst is easier to start with just because it's more like a new career (so every tool you're gonna use will be modern and interactive), but you will use a RDBMS at some point but not for the same scope. Being a DBA is more abstract because you need to predict what's gonna happen before DB engine breaks for whatever reason, doesn't matter much about the type of data stored. While on the other hand a Data Analyst makes a whole Scanning of the ACTUAL DATA and tries to find patterns to predict a behaviour. You will create more dashboards than you could imagine. So as an easier topic I will go for Data Analysis, but at some point it will split apart with Database Administration. So a Data Analyst at some point is gonna need to learn about JOINS but never is gonna need about a DEADLOCK or INDEXING. Hope that it helps ☺️.
I also love(d) being an Oracle/Sybase DBA, but after almost 20 years in this field, I am starting to shift into NoSQL administration/engineering (like MongoDB) and Data Engineering (in AWS Cloud). I feel burned out as a DBA, but I know there is a lot to learn in the DE field. I want to leave my comfort zone and dive into it.
This is exactly what I was looking for. To see someone give an example of the difference between both. Thank you!
I totally love being a DBA. They know what they're talking about
Hello, I couldn't decide between going for Data analyst roles or DBA as a beginner? Can you tell which one is more beginner friendly? And easier to break in to with just few certs and projects?
@@bestechdeals4539 Hello there. It's an interesting question because both are totally different matters. I would say that Data Analyst is easier to start with just because it's more like a new career (so every tool you're gonna use will be modern and interactive), but you will use a RDBMS at some point but not for the same scope. Being a DBA is more abstract because you need to predict what's gonna happen before DB engine breaks for whatever reason, doesn't matter much about the type of data stored. While on the other hand a Data Analyst makes a whole Scanning of the ACTUAL DATA and tries to find patterns to predict a behaviour. You will create more dashboards than you could imagine. So as an easier topic I will go for Data Analysis, but at some point it will split apart with Database Administration. So a Data Analyst at some point is gonna need to learn about JOINS but never is gonna need about a DEADLOCK or INDEXING. Hope that it helps ☺️.
I also love(d) being an Oracle/Sybase DBA, but after almost 20 years in this field, I am starting to shift into NoSQL administration/engineering (like MongoDB) and Data Engineering (in AWS Cloud). I feel burned out as a DBA, but I know there is a lot to learn in the DE field. I want to leave my comfort zone and dive into it.
@@mnj01777 Good choice!
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