Essays about: "Structured Query Language"
Showing result 1 - 5 of 15 essays containing the words Structured Query Language.
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1. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE
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2. Improvements of the syntax of the query language DQL
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : This thesis focuses on improving the syntax of a query language named DQL(Dynamic Query Language) in order to enhance the user experience and productivity of its users. The study investigates the original state of the query language and identifies areas for improvement in terms of intuitiveness, efficiency, and consistency. READ MORE
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3. Integration of GraphQL data sources into an RDF federation engine
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : As data interoperability has become increasingly more important as of late, so has the topic of database query language translations. Being able to translate between different query languages, both old and new, could potentially improve a lot of different systems. READ MORE
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4. An evaluation of Language Integrated Queries (LINQ)
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Accessing data in databases is an everyday operation that has to function with high performance. The use of Structured Query Language has for a long time been the default way of retrieving and modifying data. Another common approach is through the use of an Object-Relational Mapper. READ MORE
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5. Data Build Tool (DBT) Jobs in Hopsworks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Feature engineering at scale is always critical and challenging in the machine learning pipeline. Modern data warehouses enable data analysts to do feature engineering by transforming, validating and aggregating data in Structured Query Language (SQL). READ MORE