For developers working with SQL Server, few performance tuning techniques are as essential--or as frequently misunderstood--as indexing. Done right, indexing can drastically improve application ...

Abstract: Translating Natural Language to SQL (NL-to-SQL) allows users to communicate with databases using a common language instead of complicated query syntax. This is important as it frees the ...

Reinforcement learning (RL) provides a framework for learning behaviors for control and making decisions (known as policies) that help the model earn the most rewards in a given environment. Online RL ...

Add a description, image, and links to the archaeological-datasets topic page so that developers can more easily learn about it.

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

Text-to-SQL conversion is a vital aspect of Natural Language Processing (NLP) that enables users to query databases using everyday language rather than technical SQL commands. This process is highly ...

As Apache Spark becomes more widely adopted, the focus has been on creating higher-level APIs that provide increased opportunities for automatic optimization. In the talk below, Michael Armbrust, ...

This repository contains the code used to generate SQL Injection Detection Datasets. Samples are built using query-templates. Values derived from dictionaries are inserted in these templates to ...

I have blogged before about GroovySql and I find that it meets my needs nicely. However, some people prefer to use Groovy’s DataSet class which the Groovy 1.7.1 API documentation describes as “an ...