Google Ads to Parquet in minutes
With this connector, you can sync reporting data from the Google Ads API across a wide variety of entities to get information on online ad spending and effictiveness.
Apache Parquet is an open-source, column-oriented data storage format of the Hadoop ecosystem designed to provide fast querying on large datasets. Parquet is routinely used for creating very highly scaled data lakes that can still be queried. Parquet is similar to other column-storage file formats that are available in Hadoop.
Estuary helps move data from
Google Ads to Parquet in minutes with millisecond latency.
Estuary integrates with an ecosystem of free, open-source connectors to extract data from Google Ads with low latency, allowing you to replicate that data to various systems for both analytic and operational purposes. Google Ads data can be organized into a data lake or loaded into warehouses, databases, or streaming systems.
Data can then be directed to Parquet using materializations that are also open-source. Connectors have the ability to push data as quicikly as a destination will handle. Parquet likes files that are around 1 GB each. So, if you have high data volumes, Flow can keep your data lake up-to-date in near real-time.