Give Meaning to 100 Billion Events a Day — The Shift to Redshift
High Scalability
FEBRUARY 27, 2019
In part one , we described our Analytics data ingestion pipeline, with BigQuery sitting as our data warehouse. However, having our analytics events in BigQuery is not enough. Most importantly, data needs to be served to our end-users. TL;DR?—?Teads Analytics big picture In this article, we will detail: Why we chose Redshift to store our data marts, How it fits into our serving layer, Key learnings and optimization tips to make the most out of it, Orchestration workflows, How our data visua
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