Accessing BigQuery Data From Python And R

Eleni Markou shows how to connect to Google’s BigQuery service using Python and then R:

Some time ago we discussed how you can access data that are stored in Amazon Redshift and PostgreSQL with Python and R. Let’s say you did find an easy way to store a pile of data in your BigQuery data warehouse and keep them in sync. Now you want to start messing with it using statistical techniques, maybe build a model of your customers’ behavior, or try to predict your churn rate.

To do that, you will need to extract your data from BigQuery and use a framework or language that is best suited for data analysis and the most popular so far are Python and R. In this small tutorial we will see how we can extract data that is stored in Google BigQuery to load it with Python or R, and then use the numerous analytic libraries and algorithms that exist for these two languages.

Read on to see how easy it is for either language.

Related Posts

TensorFlow Lite

Laurence Maroney explains TensorFlow Lite: TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API. It’s designed to be low-latency, with optimized kernels for mobile apps, pre-fused activations and […]

Read More

Issues Starting ML Services

Jen Stirrup has a quick rundown of some reasons why Machine Learning Services might give you an error when you try to start it up: Msg 39023, Level 16, State 1, Procedure sp_execute_external_script, Line 1 [Batch Start Line 3] ‘sp_execute_external_script’ is disabled on this instance of SQL Server. Use sp_configure ‘external scripts enabled’ to enable […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

Categories

April 2018
MTWTFSS
« Mar  
 1
2345678
9101112131415
16171819202122
23242526272829
30