October 2019
Intermediate to advanced
520 pages
13h 5m
English
Content preview from Professional Cloud Architect – Google Cloud Certification Guide
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Datasets
Datasets are used to organize and control access to tables and views. We require at least one dataset before we can load data into BigQuery. Dataset names are unique to each project, and we are required to specify a location. Locations can be either regional or multi-regional, and we cannot change our location once the dataset has been created. Some consideration should be taken when selecting a location depending on export or ingestion requirements. For example, if we plan to query data from an external data source such as Cloud Storage, the data we are querying must be in the same location as our BigQuery dataset.
We can create a new dataset by browsing to the hamburger menu | BIG DATA | BigQuery, and selecting Create Dataset
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.