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Getting AI to write good SQL: Text-to-SQL techniques explained Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language â a.k.a. text-to-SQL. This capability increases developer and analystsâ productivity and empowers non-technical users to interact dire
With todayâs v5.19.0 release, Prisma ORM introduces a new way to write raw SQL queries in a type-safe way! You now get the best of both worlds with Prisma ORM: A convenient high-level abstraction for the majority of queries and a flexible, type-safe escape hatch for raw SQL. TL;DR: We made raw SQL fully type-safe With Prisma ORM, we have designed what we believe to be the best API to write regular
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SQL:2023 has been wrapped. The final text has been submitted by the working group to ISO Central Secretariat, and itâs now up to the ISO gods when it will be published. Based on past experience, it could be between a few weeks and a few months. In the meantime, we can look at what is new. The changes can be grouped into three areas: Various smaller changes to the existing SQL language New features
Amazon Redshift announces general availability of ROLLUP, CUBE, and GROUPING SETS in GROUP BY clause Amazon Redshift now supports new SQL functionalities including ROLLUP, CUBE, and GROUPING SETS, to simplify building multi-dimensional analytics applications. ROLLUP, CUBE, and GROUPING SETS simplifies data warehouse migrations by offering the commonly used syntax across databases. Multi-dimensiona
SQLAlchemy 2.0.0, the first production release of SQLAlchemy 2.0, is now available. With this release, the default version of SQLAlchemy that will install when one runs pip install sqlalchemy will be version 2.0. Note that version 2.0 has significant API changes compared to the 1.4 series, so applications that run on the 1.x series of SQLAlchemy which have not gone through the migration process sh
Gazette makes it easy to build platforms that flexibly mix SQL, batch, and millisecond-latency streaming processing paradigms. It enables teams, applications, and analysts to work from a common catalog of data in the way that's most convenient to them. Gazette's core abstraction is a "journal" -- a streaming append log that's represented using regular files in a BLOB store (i.e., S3). The magic of
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