Snowplow was created in 2012 by Alex Dean and Yali Sassoon to address the need for more granular and customizable event-level data tracking. They developed it as an open-source platform to help organizations collect, process, and analyze behavioral data across various digital properties.
Snowplow
Snowplow is an open-source data collection platform that allows organizations to track and manage event-level data across various platforms. It provides tools for collecting, processing, and analyzing data to gain insights into user behavior and interactions.
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About Snowplow
Strengths of Snowplow include its flexibility, scalability, and ability to provide granular event-level data. Weaknesses include the complexity of setup and maintenance, requiring significant technical expertise. Competitors include Google Analytics, Segment, and Mixpanel.
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How to hire a Snowplow expert
A Snowplow expert must have skills in data engineering, proficiency in SQL, knowledge of cloud platforms like AWS or GCP, experience with ETL processes, and familiarity with programming languages such as Python or Scala. Understanding of event tracking and data modeling is also essential.
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