Analyzing Big Data in less time with Google BigQuery

Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data in seconds. It’s also cost effective: you can store gigabytes, terabytes, or even petabytes of data with no upfront payment, no administrative costs, and no licensing fees.

In this webinar, we will:
– Build several highly-effective analytics solutions with Google BigQuery
– Provide a clear road map of BigQuery capabilities
– Explain how to quickly find answers and examples online
– Share how to best evaluate BigQuery for your use cases
– Answer your questions about BigQuery

Comments

George Naugles says:

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?

Rani Hasan says:

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.

Hemal Bhatt says:

Hi, Jeff. Thank you for sharing this informative video!

Michael Ernesto says:

Great overview Jeff. I

RoGeorgeRoGeorge says:

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

Felipe Do Nascimento says:

Great Session! I learned so much from it

Zara Palevani says:

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

Subhankar Mishra says:

Great Session Jeff… 🙂

Rahul Chandra says:

Very useful overview.

sanjeeb kumar says:

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 ?

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