Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
The Data Definition Language (DDL) underlying database systems is a set of commands that allow the creation, modification, and deletion of data structures.
Large Language Models (LLMs) are artificial intelligence models trained with millions of parameters that can perform language understanding and generation from large amounts of textual data. These models are considered a revolutionary step forward, especially in the field of natural language processing (NLP).
Data Lakehouse is a modern data management approach that combines the advantages of data warehouse and data lake architectures. This structure offers the ability to process both structured and unstructured data on a single platform, making data analytics and big data processing processes more efficient.
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We were able to increase the data processing speed by 13 times on average and 30 times at maximum with this project.
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