The most widely accepted scientific explanation for the arrival of all complex life on Earth has had an unsolved mystery at its heart. According to the theory, all plants, animals and fungi, known ...

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 ...

Google Search's superpower has always been its ability to convert: detecting when a query has commercial intent and serving a relevant, high-quality ad to ready-to-buy shoppers. Yet, while advertisers ...

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 ...