{"action":"opened","issue":{"url":"https://api.github.com/repos/martinfowler-cn/trans-tasks/issues/181","repository_url":"https://api.github.com/repos/martinfowler-cn/trans-tasks","labels_url":"https://api.github.com/repos/martinfowler-cn/trans-tasks/issues/181/labels{/name}","comments_url":"https://api.github.com/repos/martinfowler-cn/trans-tasks/issues/181/comments","events_url":"https://api.github.com/repos/martinfowler-cn/trans-tasks/issues/181/events","html_url":"https://github.com/martinfowler-cn/trans-tasks/issues/181","id":387533794,"node_id":"MDU6SXNzdWUzODc1MzM3OTQ=","number":181,"title":"A Proof-of-Concept of BigQuery","user":{"login":"TARS-robot","id":45490639,"node_id":"MDQ6VXNlcjQ1NDkwNjM5","avatar_url":"https://avatars1.githubusercontent.com/u/45490639?v=4","gravatar_id":"","url":"https://api.github.com/users/TARS-robot","html_url":"https://github.com/TARS-robot","followers_url":"https://api.github.com/users/TARS-robot/followers","following_url":"https://api.github.com/users/TARS-robot/following{/other_user}","gists_url":"https://api.github.com/users/TARS-robot/gists{/gist_id}","starred_url":"https://api.github.com/users/TARS-robot/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TARS-robot/subscriptions","organizations_url":"https://api.github.com/users/TARS-robot/orgs","repos_url":"https://api.github.com/users/TARS-robot/repos","events_url":"https://api.github.com/users/TARS-robot/events{/privacy}","received_events_url":"https://api.github.com/users/TARS-robot/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-05T00:01:40Z","updated_at":"2018-12-05T00:01:40Z","closed_at":null,"author_association":"COLLABORATOR","body":"https://martinfowler.com/articles/bigQueryPOC.html\nA Proof-of-Concept of BigQuery\nby Ian Cartwright\n4 September 2012\n\n    Can Google’s new BigQuery service give customers Big Data analytic\n    power without the need for expensive software or new\n    infrastructure? ThoughtWorks and AutoTrader conducted a weeklong\n    proof of concept test, using a massive data\n    set. The tests showed consistent query performance on a 750\n    million row data set in the 7-10 second range. We used the REST\n    APIs with Java, JavaScript and Google Charts to create a web\n    front-end with interactive visuals of query results. The entire\n    exercise was conducted with three people in five days. The\n    verdict: BigQuery performed well, and could benefit organisations\n    with Big Data and smaller budgets—especially those without a data\n    warehouse, or whose data warehouse has restricted use.\n  "}}
{"actor":{"display_login":"TARS-robot"}}