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#datalakehouse

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One of the most highlighted parts: "There is no need to move data. Data latency is minimised. Data can be transformed and analysed within a single platform.“

This is one of the reasons for 'Why ETL-Zero' :blobcoffee:

towardsdatascience.com/why-etl

Towards Data Science · Why ETL-Zero? Understanding the Shift in Data IntegrationBy Sarah Lea

In a data warehouse you store structured & organized data. In a data lake you can additionally store unstructured data. And was is now a data lakehouse?

Think of a combination of the strengths of both previous data platforms. :blobcoffee:

towardsdatascience.com/sql-and

Towards Data Science · SQL and Data Modelling in Action: A Deep Dive into Data LakehousesBy Sarah Lea

Anyone working with business intelligence, data science, data analysis, or cloud computing will have come across SQL at some point. Take a deep dive into data lakehouses, SQL, data modeling + more in Sarah Lea's latest article.

#DataLakehouse

towardsdatascience.com/sql-and

Towards Data Science · SQL and Data Modelling in Action: A Deep Dive into Data LakehousesBy Sarah Lea