Normalization VS Denormalization - Data Modeling Best Practices

Navigate the world of data modeling and discover the distinctions between normalization and denormalization. 00:00 🌟Normalization VS Denormalization While normalization is renowned for eliminating redundancy and simplifying queries, the rise of real-time OLAP has positioned denormalization as a sought-after approach due to the costly nature of join operations. 01:24 🌟The Cost of Denormalization Understand the genuine cost of denormalization through a hands-on example with customer and order tables. See firsthand how a minor change, like masking customer names, can lead to substantial challenges in a denormalized setting. 03:44 🌟Complex Real-Time Data Pipeline Venture into the realm of real-time data analytics. Grasp why tools like Spark aren't the go-to and the growing reliance on demanding stream processing tools. However, a straightforward solution emerges—speeding up join operations. This method sidesteps the need for denormalization and ensures a consistent data schema across the board. This video is part of our From Denormalization to JOINS: Why ClickHouse Can't Keep Up webinar: 🎥 Watch the Full Webinar:    • From Denormalization to JOINS: Why ClickHo...   📄 Access the Detailed Transcript: https://celerdata.com/blog/from-denor... ----------------------------------------------------------------------------------------------------------------------- Learn more at https://celerdata.com/ Connect with us: LinkedIn:   / celerdata   Twitter:   / celerdata   StarRocks GitHub: https://github.com/StarRocks/StarRocks StarRocks Website: https://www.starrocks.io/ Slack: https://try.starrocks.com/join-starro... #DataEngineering #RealTimeAnalytics #DataAnalytics #RealTimeData #OLAP #DataAnalyst #DataEngineer #DataInfrastructure #UserFacingAnalytics #Database #AnalyticalDatabase #Denormalization #DataScience #QueryPlanning