The Big Data in Real World team crosses data platforms:
If your organization is working with lots of data you might be leveraging Spark to compute distribution. You could also potentially have some or all your data in a Snowflake data warehouse.
In a situation like this, you might have to expose data in Snowflake to the processes that run on Spark. This is made possible using the Spark Connector for Snowflake.
In this post, we will see what is Spark connector for Snowflake and how to use it from Spark to connect to Snowflake and access data from Snowflake in your Spark cluster.
Read on for a high-level architecture of how it works and the configuration you’ll need to do to get it running.
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