Top Tweets for #GoogleSQL
[release notes:] Another gdotv release is here!
Amir breaks it down for you: Apache HugeGraph, #GoogleSQL, #SHACL constraints, graph viz improvements, CALL subquery syntax for @awscloud Neptune + more in the April release.
Get all the details here: https://t.co/EueALeDbfm
ZetaSQL se renombra a GoogleSQL. ¡Descubre qué significa esto para el futuro de SQL! https://t.co/nCHdtofyPO #GoogleSQL #OpenSource
ZetaSQL → GoogleSQL.
More than a rename: it clarifies Google’s SQL standard across BigQuery, Spanner & more.
https://t.co/xbNEmyWOlD
#GoogleSQL #OpenSource #Databases
We believe in learning and sharing what we learn. By renaming ZetaSQL to GoogleSQL, we’re making our robust SQL foundation more accessible and understandable for everyone.
https://t.co/PzoJLdI8Wg
What are your go-to SQL tools? #GoogleSQL
⚙️ Recientemente, #GoogleSQL añadió un nuevo operador para intentar solventar algunos de los problemas más frecuentes del #SQL clásico
💡 Los pipe operators permiten mejorar la legibilidad de las consultas en #BigQuery y pueden implementarse de una forma sencilla 👇
#BigData
The Agentic Era Demands a New Database Paradigm https://t.co/V1U6hG3nZu via @LinkedIn #AgenticEra #Databases #AI #GenAI #MySQL #GoogleSQL #BigQuery #Redshift #MongoDB #Qdrant #Pinecone #MCP #RDS #MariaDB
Say goodbye to complex SQL queries! 🚀 Google's pipe syntax revolutionizes data management, making queries more intuitive and maintainable. #SQL #GoogleSQL #DataManagement #DataTransformation #Innovation
https://t.co/tfyPvVG51X
Let’s Make SQL Great Again!
Join Mátyás Manninger at #DevFestStockholm2025 to explore Google BigQuery’s new Pipe query syntax. Practical enhancement or unnecessary feature? Come decide for yourself!
🎟️ Get your ticket: https://t.co/kb6uBeIbqO
#DevFest2025 #BigQuery #GoogleSQL
UDAF、 WINDOW function 使わせて くれない のね…。どういう内部実装してるんだろ。単にインラインに展開して動けば文法上ダメとは思われないが…？ #BigQuery #GoogleSQL
SQL Pipe Syntax, Now Available In BigQuery And Cloud Logging
Read more on https://t.co/9o5Pcog2lt
#SQL #PipeSyntax #BigQuery #SQLpipesyntax #CloudLogging #GoogleSQL #Syntax #LLM #AI #News #Technews #Technology #Technologynews #technologytrends #govindhtech @googlecloud @TechGovind70399
Exciting news! 🚀 Google is proposing a game-changing addition to SQL with the introduction of Pipe Syntax. Check out the latest blog post for insights on the proposal and community feedback. #GoogleSQL #ZetaSQL #SQLsyntax #DataManagement Read more here: https://t.co/fkKnHtHPHt
✏️Spanner や BigQuery などで使用される ANSI 準拠の SQL 言語、#GoogleSQL が #Bigtable でもサポートされるようになりました。使い慣れた GoogleSQL 構文を使用して、Bigtable 内で簡単に大量のデータの分析や処理を直接行うことができます。https://t.co/szgpkDKKsg #gcpja
Run Generative AI-powered data quality inconsistency & anomaly reports in minutes against Cloud SQL tables and/or data files..starts at $20USD https://t.co/izy6iR5oJo #azuresql #googlesql #snowflake #awsrds #mysql #postgres #PostgreSQL
Identify inconsistent data content and data redundancy in just a few clicks for organization names (GE & General Electric), Individual Names, and Addresses across many different DB & file data sources. https://t.co/BKxfeL7qly #CSV #AWSRDS #Snowflake #AzureSQL #GoogleSQL
Step-by-step tutorial -> automated API calls while looping through a CSV file to identify duplicate/redundant data in the file (works the same for Cloud Databases via SQL): https://t.co/qEel8qedbw #azure #aws #googlesql #snowflake
A powerful data matching weapon - available both via API and also connecting directly to Cloud databases #AWS #Snowflake #GoogleSQL #AzureSQL #Postgres #MySQL https://t.co/izy6iRmrLo
GraphQL is a reasonable solution for federated queries. Used #Hasura engine to join legacy trades stored in #GoogleSQL (managed #Postgres) with the latest trades streamed to multi-zone #YugabyteDB cluster 👇
Just define a relation between databases and run a #GraphQL request!
A Swiss army knife for better data: run data workloads against cloud data sources (databases, CSVs, etc..) entirely in the Cloud. Free tier available to get started -> https://t.co/dH6MX8bU6X #aws #googlesql #mariadb #postgres #mysql #snowflake #azure #sql
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