The data landscape is a constantly changing one. We started with relational databases to store and process transactional data that was generated by a business’s day-to-day operations (e.g., customer, order details) to serve OLTP use cases. Then, with the rising need to derive analytical insights from a business’s stored data (e.g., average sales over time), we moved onto OLAP-based systems with da
Apache Iceberg: The Definitive Guide Everything you need to know about Apache Iceberg table architecture, and how to structure and optimize Iceberg tables for maximum performance Apache Arrow combines the benefits of columnar data structures with in-memory computing. It delivers the performance benefits of these modern techniques while also providing the flexibility of complex data and dynamic sch
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