Blockchain analytics company Chainalysis has rolled out a new automation feature aimed at broadening access to onchain investigative and compliance tools beyond technical users. The feature, called ...

Spider is a large human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task (natural language interfaces for relational databases). It is released along with our EMNLP ...

Google’s new tool abstracts SQL into a visual interface, helping enterprises manage cloud workload insights without deep technical expertise. Google has added a new query builder to its Log Analytics ...

Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility. The PostgreSQL ...

Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...

Abstract: Designing an efficient and secure collaborative SQL analysis system that supports large-scale dataset inputs is a very challenging task. In this paper, we present FedQuery, an MPC-based ...

You have three flexible options for defining your ticker universe: Run the script to auto-fetch the S&P 500: python _2_get_sp500_tickers.py Manually replace the default ticker list in output/Static ...

I have a relatively complex query that I would like to be able to achieve in one query, as there are a lot of rows to be returned, some of which may be sparse. I'd prefer not to hit the DB 150+ times ...