June 2014
Intermediate to advanced
528 pages
13h 54m
English
Content preview from Google BigQuery Analytics
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Chapter 12External Data Processing
By this point you should be getting good at using BigQuery and have an understanding of how it works. That said, sometimes it may not be convenient to use BigQuery directly via the API, generated clients, or web UI. Other times, you need to do something with your data that isn't possible inside of BigQuery.
This chapter shows you how to handle both of these situations. In data warehousing, the process of taking data out of one storage system and adding it to another one is called ETL, for Extract Transform and Load. The first section in this chapter is about Extract: You've got your data in BigQuery and you want to take it out. The next section describes different ways to Transform your data, such as running a Hadoop MapReduce on Google Compute Engine. The Load component of ETL was covered in Chapter 6, “Loading Data.”
The last portion of the chapter shows some of the alternative interfaces to BigQuery that enable you to access your data from two popular spreadsheet programs: Google Spreadsheets and Microsoft Excel. You can use Google Apps Script to run BigQuery queries, which enables you to fill your Google Spreadsheets (or even Google Forms) with BigQuery data. For those of you who prefer Microsoft Excel to Google Spreadsheets, the final portion of the chapter describes the BigQuery Excel Connector that enables you to run BigQuery queries from Microsoft Excel directly.
This chapter covers only the Google-provided interfaces. Chapter 13, “Using ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.