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Data Lakehouse

The concept of the Data Lakehouse emerged around 2020 as an architectural response to the limitations of both Data Warehouses and Data Lakes. In simple terms…

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Data Hub

The Data Hub is a relatively new term in the evolution of enterprise data architecture, appearing after the rise of the Data Lake. It is important to clarify…

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Data Fabric

The concept of the Data Fabric is often confused with the Data Hub, but while the two share the goal of breaking down silos, they operate at different levels…

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Delta Lake

One of the biggest criticisms of early Data Lakes was their lack of reliability. While they excelled at storing vast volumes of structured, semi-structured,…

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Star Schema

As discussed in the topic i.e., Data Warehouse or Data Mart, Star schema and Snowflake Schema both refer to Ralph Kimball Data Warehousing approach. As per R…

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Snowflake Schema

As discussed in topic i.e., Data Warehouse or Data Mart that Star schema and Snowflake Schema both refer to Ralph Kimball Data Warehousing approach. As per R…

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Galaxy Schema

As discussed in topic i.e., Data Warehouse or Data Mart that Star schema and Snowflake Schema both refer to Ralph Kimball Data Warehousing approach. But what…

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OLAP - Cube

Cubes are a very controversial element of OLAP world where most of the folks think, it not worth having those. Cubes host data from facts and dimensions in o…

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SQL and NoSQL Databases

Before I came into the Big Data domain, in early 2010, my assumption was, standard SQL will not work for NoSQL databases, but I was 180 degrees wrong. NoSQL…

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Data Mesh

Data Mesh is normally confused with Data Mashup (explained separately), but both are totally different. Data Mesh is a modern approach to data architecture a…