The Google BigQuery service allows users to run SQL-like queries against very large datasets, with potentially billions of rows. BigQuery works best for interactive analyses, typically using a small number of very large, append-only tables. Users can access BigQuery using the BigQuery browser, the bq command-line tool, the REST API, or Google Apps Script.
I really like playing around with cutting edge technologies. One of them is GoodData CloudConnect, the tool for ETL and building GoodData projects. Since we released this new feature, I have dozens of ideas how the data from various sources can be easily transformed in the cloud. Recently, for example, I found myself wondering: "How about using the Google BigQuery API as a data source? What about visualizing the data from it in GoodData?"
"JSON is the data format of the web," begins the Google blog post announcing that JSON has come to its service for large datasets. And has Yahoo already upgraded its PlaceFinder to v2? Plus: YouTube shares some cool apps, $3 million healthcare contest and 16 new APIs.
Top Developers will earn almost $20K per month on App.net. redBus builds critical system monitoring system using BigQuery. Plus: 100+ developers gathered to hack on Big Data at AngelHack, API Best Practices guide from SOA Software and 12 New APIs.
On the Amazon cloud you could create many options for running databases in the cloud. A brief look at "Running databases on AWS" suggests comprehensive cloud as a database service resourcesoffered by Amazon. While Amazon RDS offers you the choice of MySQL, Oracle or SQL Server, Amazon DynamoDB offers you NoSQL storage while Amazon SimpleDB offers schemaless database.