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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Create XML and JSON data services from any data source
Create services to integrate applications & move data of any type. Build data views across DBMS, SOAP, HTTP/REST, Salesforce, SAP, Microsoft, SharePoint, Text, LDAP, FTP sources to read, write & transfer data. Eclipse designer & run-time engine.
Accurately convert voice to text in over 125 languages and variants by applying powerful machine learning models with an easy-to-use API.
New customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
This is our implementation of a tagger that was described in iTag: A Personalized Blog Tagger. It will automatically tag blog posts, text documents and other textual media. Comes with an XML-RPC server for web deployment.
Client libraries written in C# for text-based internet protocols (so far including NNTP and Dict). These libraries are designed to reflect the RFCs of their respective protocols. With the release of the MS WCF, this project is effectively obsolete.