27 thoughts on “Analyzing Big Data in less time with Google BigQuery

  1. RoGeorgeRoGeorge Post author

    Yes, at 3:28, a thousands separator would be nice, so it would be easier to read big numbers.

  2. Rani Hasan Post author

    Thanks Jeff! Again, an amazing session!

    Can we have more sessions anytime soon? GCP is growing horizontally and vertically, such sessions are of great value, helping us keep up with the accelerated growth of GCP offering.

  3. Zara Palevani Post author

    i can't access the sample data set- there is only the public data set, is the sample data set removed? thx

  4. sanjeeb kumar Post author

    Thanks a lot for very clear demonstration. May I know the code which you showed in this demo is present in any github ? Or Any link to follow ?

  5. George Naugles Post author

    i need to understand how to feed these with a free or inexpensive Google version of Microsoft Access that is compatible with ESRI GIS software . . . what do you suggest?

  6. Hairi Azizan Post author

    Great content. Would you mind to share your example queries?

  7. Key international Enterprise Post author


  8. Bigdata - AI Post author

    The title is wrong, it must be "Master Introduction (full view) of bigquery in 30 minutes".
    Great job jeff.

  9. Shefali Sharma Post author

    I am facing an error – 'The user <userID>@<projectID>.iam.gserviceaccount.com does not have bigquery.datasets.create permission in project <projectID>'. How do you resolve this? I have tried every possible thing that I can think of. Maybe I am missing something?

  10. Travel India Post author

    Such a good explanatory video. Thanks for uploading such valuable content. 🙂

  11. Yousuf Zaman Post author

    This video is better than its title.
    Thanks a lot, for detail description within a short video.
    It's awesome…

  12. Simon Cheng Post author

    when the upload speed in coaxial cable as 6mb download 1MB thought DSL compare to Fiber to the office ( Fiber 1000 Gb , the upload and download linking from I.T. dept back to custer Google D.C. is totally different

    We thought that enterprise class service is suitable for Fortune 500 mega corporation for Food and Beverage / semiconductor /high end retail / oil and Gas /

    Banking and Financial / leisure and Travel / Government and military/ charity and Donation / Religious and Private hospital / Education and private

    school / nature resource and mining / consulting and construction

  13. Sehab Post author

    you should change the tile to something awesome.. and damn that is so cool

  14. apurva s Post author

    Very well explained! Thankyou Jeff!
    I want to injest data from IBM i-series onto Google cloud and then analyse and run queries on bigquery/qlikview to get desired results…. Can anyone please share your experiences/thoughts?

  15. Petronella Mira Melati Post author

    Hello, I want to ask. Can we get clickstream data on bigquery or maybe without bigquery?

  16. Que Onda? Post author

    how does the sql in 7:10 work with a comma after the last column selected?

  17. Shubham Maheshwari Post author

    great video for introduction. really enjoed watching it.


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