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The Kappa Architecture has emerged as a compelling alternative to the more complex Lambda Architecture. By treating all data as continuous streams and using a unified processing pipeline, it simplifies…

Bit of a departure from the usual data related posts but I think this one is important. Since its inception at Airbnb in 2014, Apache Airflow has become a cornerstone…

While dimensional modeling has dominated data warehousing for decades, another approach has been quietly gaining traction in enterprises dealing with complex, rapidly changing data landscapes. Data Vault 2.0 represents a…

My personal experience with Data Fabric has been somewhat limited, as no organisation I’ve worked at has embraced this pattern. Speaking to my peers, I do see it being adopted…

Test-Driven Development (TDD) has been a staple of software engineering for decades. It was first proposed by Kent Beck in the late 1990s and early 2000s. He popularized TDD as…

In modern data architecture, clarifying the distinction between file formats (like Avro, Parquet) and table formats (like Iceberg, Delta Lake), as well as interoperability layers (XTable), is critical. Your choice…

Ever heard of this? Well, if you’re reading this site then you probably have. Anchor Modeling is an entity-centric, normalized data modeling technique built to handle change over time in…

When you run a modern database like Cassandra, RocksDB, or ScyllaDB, there’s a good chance it’s powered by a Log-Structured Merge Tree (LSM Tree). This data structure is built for…

Generative AI has opened up a whole new world of opportunity. It is now foundational for business strategy and adoption has found it’s way into many homes via Open AI…

Normalization (and it’s inverse, renormalization) is one of the foundational concepts in relational database design. It’s a systematic process of organizing data to reduce redundancy, eliminate anomalies, and ensure data…
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