BigQuery Connector
Optimizing the Analysis of Voluminous Datasets
Overview
Our MuleSoft certified Google BigQuery connector gives enterprises access to Google BigQuery right from within the MuleSoft Anypoint platform. This enables the building of data-driven insights into applications using familiar paradigms and without the extra effort of learning new tools. The connector interfaces with BigQuery API for analysis of massive datasets working in conjunction with Google Storage. It allows for the ingestion, management, and querying of data in BigQuery.
The connector interfaces with BigQuery API for analysis of massive datasets working in conjunction with Google Storage. It allows for the ingestion, management, and querying of data in BigQuery.
Technical Specifications
Published on – 7th January, 2020
Version – 2.2.0
Compatible with – MuleSoft Runtime version 4.2.1+
Available at Anypoint Exchange
Bridging the Gap Between Your Enterprise and Mule Apps
The Google BigQuery connector allows Mule applications running on Anypoint platform to perform several operations on BigQuery in a configuration-driven and no-code manner. This makes setting up data connections between enterprise applications and BigQuery easier and quicker.
MuleSoft developers need not spend a lot of time dealing with BigQuery APIs for different operations, their request-response structures and authentication mechanisms. They can simply insert the connector in their Mule flow, configure authentication information, select operations, and pass parameters. All input and output parameters are designed for intuitive usage and are detailed in the documentation.
The real value of the BigQuery connector is in the way you can use it at design time in conjunction with powerful functional features available in Mule:
Data Sense
Leverage DataSense to extract metadata for BigQuery standard response and let Mule automatically determine the data type and format that your application must deliver to, or can expect from, BigQuery. Focus on applying the data for insights and let Mule worry about type constraints and compatibility.
Transform Message Component
Use DataWeave, the integrated scripting language, to automatically extract response metadata and visually map and transform data to different formats or structures. It makes controlling the mapping between data types a breeze!
