Upload

Loading...

This video is unavailable.

Watch Queue

TV Queue

Watch QueueTV Queue

    Loading...

Watch Queue
TV Queue
__count__/__total__

Google I/O 2012 - Crunching Big Data with BigQuery

Want to watch this again later?

Sign in to add this video to a playlist.
29,681

Like this video?

Sign in to make your opinion count.

Don't like this video?

Sign in to make your opinion count.

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Loading...

Ratings have been disabled for this video.
Rating is available when the video has been rented.
This feature is not available right now. Please try again later.

Published on Jul 2, 2012

Jordan Tigani, Ryan Boyd

Google BigQuery is a data analysis tool born from Google internal technologies. It enables developers to analyze terabyte data sets in seconds using a RESTful API. This session will dive into best practices for getting fast answers to business questions. We'll provide insight into how we process queries under the hood and how to construct SQL queries for complex analysis.

Slides: http://goo.gl/acBmd

For all I/O 2012 sessions, go to https://developers.google.com/io/

Loading...

  1. 1

    Google I/O 2014 - The dawn of "Fast Data"

  2. 2

    Google I/O 2014 - Big data, the Cloud way: Accelerated and simplified

  3. 3

    Google I/O 2014 - Predicting the future with the Google Cloud Platform

  4. 4

    DevBytes - What is BigQuery?

  5. 5

    Shine with BigQuery: The 30 Terabyte challenge

  6. 6

    Google Cloud Platform Live: The Power of Big Data on Google Cloud Platform

  7. 7

    BigQuery, IPython, Pandas and R for data science, starring Pearson

  8. 8

    Streaming data into Google BigQuery with special guest Streak

  9. 9

    Correlation with BigQuery

  10. 10

    Querying Massive Datasets using Google BigQuery

  11. 11

    Hadoop on Google Compute Engine for Processing Big Data

  12. 12

    BigQuery: Larger Result Sets and New Window Functions

  13. 13

    BigQuery: Big JOINs, Big GROUP BY, Timestamps

  14. 14

    Google I/O 2013 - Big Data Mashups: Enabling Next Generation Analytics Using BigQuery

  15. 15

    Google I/O 2013 - All the Ships in the World: Visualizing Data with Google Cloud and Maps

  16. 16

    Google I/O 2013 - Google Analytics and AdSense Data Analysis in BigQuery

  17. 17

    Google I/O 2013 - Here Be BigQuery: Building Social Gaming Infrastructure on Google Cloud Platform

  18. Google I/O 2012 - Crunching Big Data with BigQuery

  19. 19

    Using Apps Script with BigQuery: A developer perspective

  20. 20

    BigQuery - UK dev community, JSON, nested/repeated, improved data loading - Live from London

  21. 21

    BigQuery - Best Practices for Running Queries on Massive Datasets

  22. 22

    Google BigQuery - Best Practices for Loading your Data and open Office Hours

  23. 23

    Google BigQuery: Batch, Connector for Excel and Office Hours!

  24. 24

    Google I/O 2012 - Building Data Pipelines at Google Scale

  25. 25

    Google I/O 2012 - Big Data: Turning Your Data Problem Into a Competitive Advantage

  26. 26

    Google I/O Preview: Cloud Data Sessions

Loading...
Working...
to add this to Watch Later

Add to