BigQuery is an elegant data solution and a natural fit for Snowplow data. As a warehouse, BigQuery offers elastic storage and compute, making it both affordable and highly performant to store and query massive amounts of data. This makes BigQuery an ideal warehousing platform for companies with enormous data sets.
Snowplow tech is built to maximize data granularity, richness, and scalability; it’s not uncommon to find our customers tracking well over 100 million events daily. Working with highly detailed data at that scale on other cloud platforms is challenging because joining large volumes of data from multiple sources can make data sets cumbersome and spread them out across multiple tables, slowing down queries. BigQuery has a number of features to address this:
In addition to unparalleled speed, Snowplow’s enormous (and expanding) collection of integrations and tracking software let you collect data from the tools you use every day, including:
Unifying your data sources together in BigQuery gives you a high quality, structured data set that’s easy to work with. Having that data available in real-time means you can make product and marketing decisions just as fast. And, because it’s part of the Google ecosystem, you can directly import data directly into BigQuery from your marketing tools like Google Ads. This lets you combine your ad data with your rich downstream behavioral data to adjust your marketing budget on the fly, letting you focus on your most important channels. You can even get your Google Analytics data into BigQuery in real-time.
BigQuery and the rest of Google’s data tools were built to make working with massive sets of granular, structured data easy, fast, and affordable. Now with Snowplow for GCP, you can make sure you’re loading the highest quality data into BigQuery from the sources you need, in real-time as it should be.
Get in touch with us and start querying with confidence.