Cloud Storage Data Schemas ETL Tools 
Towards Data Science
NOVEMBER 4, 2023
What I like about it is that it makes it really easy to work with various data file formats, i.e. SQL, XML, XLS, CSV and JSON. It will be a great tool for those with minimal Python knowledge. Among other benefits, I like that it works well with semi-complex data schemas. __version__) table_id = client.dataset(dataset_id).table(table_name)
phData: Data Engineering
SEPTEMBER 27, 2024
But with modern cloud storage solutions and clever techniques like log compaction (where obsolete entries are removed), this is becoming less and less of an issue. The benefits of log-based approaches often far outweigh the storage costs. But with the right tools and processes, these challenges are manageable.
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