Google Analytics to Bigquery in minutes
Google Analytics is a web and mobile analytics service offered by Google that tracks and reports on traffic to websites and mobile applications.
Google Bigquery is a cloud-based data warehouse that offers highly scalable and distributed SQL querying over large datasets. Using OLAP (Online Analytical Processing), Bigquery offers the ability to rapidly answer multi-dimensional analytic database queries with potentially large reporting views by breaking a query up between many worker nodes and reassembling the finalized answer.
Estuary helps move data from
Google Analytics to Bigquery in minutes with millisecond latency.
Estuary integrates with an ecosystem of free, open-source connectors to extract data from Google Analytics with low latency, allowing you to replicate that data to various systems for both analytic and operational purposes. Google Analytics data can be organized into a data lake or loaded into warehouses, databases, or streaming systems.
Data can then be directed to Bigquery using materializations that are also open-source. Connectors have the ability to keep warehouses as up-to-date as the warehouse can handle without incurring costs. This allowing Bigquery to receive data with under 10-second latency.