Create Dataset from Google BigQuery

This article details how to create Dataset from Google BigQuery.

PREREQUISITE:

Established connectivity to Google BigQuery

1. Create New Dataset

Access New > Datasets > Create New

Enter the basics:

  1. Measured: Select the measurement interval that applies to the level of aggregation that you want in your result set;
  2. Name: Provide a descriptive name for the Dataset;
  3. Category: Specify Category where you Dataset will be placed.

Proceed to Data tab to define details.

2. Define the Settings for Data Collection

  1. Data Source: Select the Google BigQuery Data Source;
  2. Trigger: Specify Data Collection Trigger that will be used to collect data for Dataset;
  3. Object: Select Google BigQuery object that should serve as a basis for Dataset;
  4. Input Plugin command listing the data to fetch from Google BigQuery;
    • NOTE: Add #standardsql or #legacysql before the query to pull data. The SQL type depends on the source BigQuery tables;
  5. [Validate];
  6. [Enable & View] to proceed to Dataset Viewer.

NOTE

  1. Entire field names that contain special characters, aggregation and commas must be enclosed in quotes (single or double). 
  2. It is acceptable to enclose all fields and values in quotes.

[…] + Notation is used to signify that the MIQL parts of a statement are optional/can be repeated.