Big Data Changed the Way We Think About Data Warehousing

See on Scoop.itData Nerd’s Corner

The need for faster analysis of fresher data challenges us to rethink traditional data warehousing architectures

Carla Gentry CSPO‘s insight:

This new mindset has forced data warehouse architects to rethink what used to be best practices. Questions include: How should we load the data warehouse: ETL versus ELT or mixed TETL? How should we store the data primary keys versus distributed keys? SQL or NOSQL or not only SQL? Structured data or unstructured data? Conceptual models or traditional data models? Columnar databases or relational paradigms? What approach should be taken with data warehousing when it comes to big data?

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