Abstract: Translating Oracle PL/SQL into BigQuery SQL (BQ-SQL) is a persistent obstacle in data-platform migration. We present a semi-automated, human-in-the-loop workflow that orchestrates large ...
Abstract: Computations on encrypted data can, in principle, be performed using homomorphic encryption. However, due to certain limitations, only algorithms based on polynomial functions can be ...
The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...
In PostgreSQL, the `date_part('part', source)` function is a handy way to pull out pieces of a date or timestamp — like the year, month, day, hour, etc. But what about BigQuery? BigQuery doesn’t ...
Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires SQL, which varies ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Established in 1951, IOM is a Related Organization of the United Nations, and as the leading UN agency in the field of migration, works closely with governmental, intergovernmental and ...
Make sure you specify the "read" dialect eg. parse_one(sql, read="spark") Make sure you specify the "write" dialect eg. ast.sql(dialect="duckdb") Check if the issue still exists on main SELECT ...