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Submitted URL: https://mail.datameer.com/e3t/Ctc/GD+113/cGr5k04/VVnDt54cy-56W5KQ-yq3c2ggvW6fpr4J56nc1rN6crjm-5nR32W50kH_H6lZ3lhW7RMJG_5rk...
Effective URL: https://www.datameer.com/resources/how-to-build-your-snowflake-data-stack-in-one-day/?utm_campaign=Datameer%20Announcemen...
Submission: On November 27 via api from US — Scanned from DE
Effective URL: https://www.datameer.com/resources/how-to-build-your-snowflake-data-stack-in-one-day/?utm_campaign=Datameer%20Announcemen...
Submission: On November 27 via api from US — Scanned from DE
Form analysis 5 forms found in the DOM
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HOW TO BUILD YOUR MODERN SNOWFLAKE DATA STACK IN ONE DAY
Take a deep dive into the modern Snowflake data stack and explore the critical
requirements to have an effective modern data stack.
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ABOUT THE HOW TO BUILD YOUR SNOWFLAKE DATA STACK IN ONE DAY WHITE PAPER
Your modern Snowflake data stack is the centerpiece of your analytics
architecture. In this white paper we will explore what your modern data stack
should look like, how each component is used, and the key considerations when
building one.
WHAT IS A SNOWFLAKE DATA STACK?
You will learn what a modern data stack is and where it fits into your
architecture.
WHAT MAKES UP A SNOWFLAKE DATA STACK?
You will learn how a modern data stack is put together and the overall
architecture.
WHAT EACH COMPONENT LOOKS LIKE
You will take a deep dive into each component and what functions it performs.
KEY CONSIDERATIONS FOR SELECTING COMPONENTS
You will explore the important requirements and selection criteria for each
component.
INTRODUCTION: WHAT IS A MODERN SNOWFLAKE DATA STACK?
Historically, large enterprises would build out what was called a “data
platform” to support the flow of data across their organization. The data
platform was a mesh of data technologies to support specific applications
(including analytics) along with integration points between these as needed,
both custom or using integration technologies.
The data platform architecture for an enterprise would be highly involved and
consist of complex technologies. Over time, organizations would break their data
platform into sections specific to certain aspects – applications, analytics,
etc. The term “data stack” came into vogue to define the set of components or
technologies to support the flow and use of data for analytics
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