Data engineering isn't easy. It's not just about writing SQL queries and calling it a day.
There is...
- Constantly changing data infrastructure, like Hadoop, Flink, Snowflake and Databricks - Data pipelines often break not because of there design but because the source systems changes without telling you - Data governance and compliance - ensuring that data handling meets stringent legal and security standards. - A crazy amount of orchestration and ETL tools exist - Mastering query optimization, indexing strategies, and data partitioning to efficiently handle large volumes of data. - Understanding multiple disciplines and technologies including networking, system architecture, SFTP, etc - Trying to implement business logic to fix issues from the application
This barely scratches the surface.
I'm not saying this to complain by the way. I love data engineering.
If you'd like to learn more about data engineering and infra you can check out my newsletter here - seattledataguy.substack.com/
Seattle Data Guy
Data engineering isn't easy. It's not just about writing SQL queries and calling it a day.
There is...
- Constantly changing data infrastructure, like Hadoop, Flink, Snowflake and Databricks
- Data pipelines often break not because of there design but because the source systems changes without telling you
- Data governance and compliance - ensuring that data handling meets stringent legal and security standards.
- A crazy amount of orchestration and ETL tools exist
- Mastering query optimization, indexing strategies, and data partitioning to efficiently handle large volumes of data.
- Understanding multiple disciplines and technologies including networking, system architecture, SFTP, etc
- Trying to implement business logic to fix issues from the application
This barely scratches the surface.
I'm not saying this to complain by the way. I love data engineering.
If you'd like to learn more about data engineering and infra you can check out my newsletter here - seattledataguy.substack.com/
1 year ago | [YT] | 89