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One large difference between this program and alternative programs is that data already resides in Google BigQuery: - You do not need to spin up a database to
by vgt 11y ago
One large difference between this program and alternative programs is that data already resides in Google BigQuery:
- You do not need to spin up a database to work with BigQuery
- You can simply start writing SQL on top of BigQuery
- You may leverage Dataflow and MapReduce connectors to work with this data directly in Hadoop, Spark, or Dataflow
- BigQuery has a free tier - one Terabyte of data processed per month
Finally, for folks who would like to share their datasets, BigQuery offers free hosting and credits to help get a pipeline going.
(disclosure: work on BigQuery)
- dwmintz 11y agoAnd if you've got public data in BigQuery that you want to make explorable/shareable/visualizable to anybody (no SQL required), let Looker know and we'll see what we can do. (disclosure: work at Looker)
- vgt 11y agoLooker has been a great launch partner for this program. Really helped us develop and deliver great interactive dashboards.
- Veratyr 11y ago> Finally, for folks who would like to share their datasets, BigQuery offers free hosting and credits to help get a pipeline going. Is this available in an automated fashion or is it something one has to contact Google for?
- vgt 11y agoYou can always create a dataset and make it public by setting open ACLs to it. The only downside is paying $0.02 per GB per month. To participate in the Public Datasets program, you must contact us - there's a lot of legal mumbo jumbo associated with us hosting your datasets that I wish weren't the case :)