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Schemas Used in Data Warehouses: Star, Galaxy, and Snowflake

Engineering

Much like how a relational database has a database schema that defines the relationships and structure rules within, there are schemas in data warehouses. Also known as multi-dimension schemas, these schemas define rules for how these data warehouses manage the names, descriptions, associated data items, and aggregates within a data warehouse.  What is Schema in a Data Warehouse? We can…

Brenna Buuck By May 31, 2022

A Birds-Eye View of a Modern Data Stack

Engineering

The modern data stack is less like a stack and more like an ecosystem with many participants. This constellation of technologies coalesces around a few guiding principles. Three Guiding Principles The first principle of the modern data stack is complete customizability. Eschewing a one size fits all solution, the modern data stack allows for data teams to pick and choose…

Brenna Buuck By May 26, 2022

3 Skills You Need to Succeed in Data and Analytics Today, According to Dr. Beverly

Use Cases

We recently kicked off our Women in DataOps series with Dr. Beverly Wright, a data and analytics thought leader with 30 years of experience. Beverly has spent many years teaching data science and analytics to undergraduates, master’s students, PhDs, and executives. She’s also spent more than a decade consulting for companies like Nielsen, another decade on the client side at…

Judy Ko By May 24, 2022

Data Pipeline Architecture: Key Design Principles & Considerations for Data Engineers

Engineering

Data pipelines are meant to transfer data from a source or legacy system to a target system. Easy right? Well not so much. As a Data Engineer, it’s our job to be responsible for multiple different data pipeline architecture decisions during the design phase. Answering questions like, what are the source/s and target/s for this data? Is this data coming…

Drew-Nicolette-Data-Engineer By May 20, 2022

Thinking Through the Basics of Your Data Governance Framework

Engineering

Your company may not have a documented or formally defined data governance framework. But if data is created and used in your organization, you have a governance framework.  Whether it’s effective or not… that’s another question.  The challenge with data governance frameworks, and data governance in general, is tying together the elements of how your organization collects, manages, and archives…

By May 19, 2022
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