If you've ever tried running SQL queries against Snowflake from an AWS Lambda function using Python, chances are you may have run into an error message like this: ⛔️ No module named 'snowflake' Fear not, there's a simple solution you can apply in no time. In this...
A common scenario that people encounter is that people need to move one object in a S3 bucket to a different bucket. Recently, I encountered a data vendor that sent data directly to a customers bucket. The customers data pipeline was set up to access...
Fivetran's custom connector enables customers to create an ingestion process for data sources that are not currently offered by Fivetran's service. This is accomplished by creating a function in Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP) using a programming language such...
Snowflake’s cloud-first architecture has unlocked access to data in a way that was previously impossible. For the first time in history, data is accessible, affordable and fast. As users began to receive tangible value from their data-warehousing efforts, it quickly became clear that this data...
Welcome back to our mini-series on Snowflake External Functions with AWS Lambda. Before we proceed, please read the previous post on how to set up these functions and how Snowflake interacts with AWS Lambda. API Knowledge Disclaimer If you are unfamiliar with APIs and how they work,...
Recently, Snowflake implemented a new feature that allows its standard functionality to be extended through the use of external functions. Among several other capabilities is the ability to create AWS Lambda functions and call them within Snowflake. This has unlocked a whole new realm of...
Python is quickly becoming the first programming language exposed to non-tech folks. While working on my data pipeline, I found a perfect example of how you can use Python to bring external data into your reporting environment – especially when the host of this data...
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