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LLMs for Data Analysis
Data Skeptic
Efficiency and Optimisation through Data Storage and Processing Standardisation
Standardising data storage and processing in a common, open source format like Parquet with Delta Data Lake metadata streamlines transformation and creates structured data, enabling seamless collaboration across different workloads. With data stored in a format optimised for various fabric workloads, data retrieval for analytics or processing through Spark jobs or SQL queries becomes instant without the need for data movement or duplication. This not only reduces complexity and costly data movement but also ensures data consistency and real-time updates, thereby enhancing project efficiency and reducing operational complexity.
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