Google BigQuery ML is another feature that supports algorithms such as K means, Logistic Regression etc.
Built-in AI & ML: It supports predictive analysis using its auto ML tables feature, a codeless interface that helps develop models having best in class accuracy. Data Ingestions Formats: Google BigQuery allows users to load data in various formats such as AVRO, CSV, JSON etc. Scalability: Google BigQuery offers true scalability and consistent performance using its massively parallel computing and secure storage engine. It is a serverless Software as a Service (SaaS) application that supports querying using ANSI SQL & houses machine learning capabilities. Google BigQuery performs exceptionally even while analyzing huge amounts of data & quickly meets your Big Data processing requirements with offerings such as exabyte-scale storage and petabyte-scale SQL queries. It is Google Cloud Platform’s enterprise data warehouse for analytics. Method 2: Using ODBC to connect Google BigQuery to Tableau. Methods to Connect Google BigQuery to Tableau. Follow our easy step-by-step guide to master the skill of connecting Google BigQuery to Tableau using various methods. This article aims at answering all your queries about connecting Google BigQuery to Tableau. Method 2: Using ODBC to connect Google BigQuery to Tableau. 
Method 1: Using Tableau’s Google BigQuery Connector. Simplify Data Analysis with Hevo’s No-code Data Pipeline.
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