Traditional data pipelines are rigid, difficult to change, and they do not support the constantly evolving data needs of today’s organizations. Modern data pipelines, on the other hand, make it faster and easier to extract information from the data you collect. Read our ebook, Five Characteristics of a Modern Data Pipeline, to learn which characteristics to look for when considering a data pipeline, including continuous data processing, isolated, independent processing resources, increased data access, and more.
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This is a step-by-step tutorial for Snowflake's external functions. Follow the tutorial here and you'll be able to run web services inside Snowflake pipelines using external functions. This tutorial s



Last year, I wrote two blog posts on building enterprise Azure data and analytics solutions around Snowflake. In Part 1, I wrote specifically about how to connect Azure Data Factory (ADF) to...

Data is one of the most critical assets that an organization owns. Almost every organization builds a data architecture to store, prepare, manage, and analyze its data. Conventional thinking tends to

Since I have joined Snowflake, I have been asked multiple times what data warehouse modeling approach does Snowflake support best. Well, the cool thing is that we support multiple data modeling...

Introduction This is Part 1 of a two-part post that explains how to build a Type 2 Slowly Changing Dimension (SCD) using Snowflake’s Stream functionality. The second part will explain how to...