Google BigQuery is a fast, powerful, flexible, and cost-effective serverless data warehouse that’s tightly integrated with the other services on a Google Cloud Platform. Designed to help you make informed decisions quickly, the cloud-based data warehouse and analytics platform uses a built-in query engine and a highly scalable serverless computing model to process terabytes of data in seconds and petabytes in minutes.
The database allows users to create and delete tables based on a JSON-encoded schema, import data encoded as CSV or JSON from Google Storage. Queries are expressed in a standard SQL dialect and the results are returned in JSON with a maximum reply length of approximately 128 MB, or an unlimited size when large query results are enabled.
Google BigQuery can process and run reports on real-time data by leveraging other GCP services and resources. Data warehouses can support analytics after data from multiple sources is consolidated and stored — which often happens in batches throughout the day. In addition to batch processing, the service supports streaming at a rate of millions of rows of data per second.
High End Big Data Platform for Data Warehouse and analytic database
Data Architecture , Data Modelling , Data Engineering and Development , Data Analysis
MySQL Galera Cluster Introduction MySQL Galera cluster is the common solution for MySQL high availability and bring