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In general, a data warehouse is a viable data storage solution for all businesses that would like to ensure they receive the most benefit from their data.

In addition to its core function of storing data within a centralized location, allowing for greater reporting and analytics capabilities, a data warehouse gives users the opportunity to generate actionable insights to guide their decision-making process.

Beyond allowing for a centralized and singular repository of existing data, regardless of data origin or number of input streams, a data warehouse gives users a place to continually store data as it is generated over time. This results in the true magic of data warehousing, the ability to store and make actionable data, both collected and generated, lending itself to the ability to compare previous and current performances to improve business processes such as marketing efforts.

In this presentation, we will explain what a DWH is as well as why it is necessary to designate a singular space for your data. In this case, a singular space that allows for the flow of incoming data on a minute-by-minute basis.

Watch Webinar Recording

Webinar Agenda

1. Limitations of conventional solutions
2. Enterprise data warehouse
3. Data warehouse architecture
4. Dashboarding example
5. Best practices

Meet the Speaker

Marvin Geerken

Marvin Geerken

Marvin is working as a BI consultant for Scalefree since his Master’s degree in BI & Analytics in the beginning of 2021. He’s an expert in the design and implementation of BI solutions, with focus on the Data Vault 2.0 methodology. In his client projects, he also has been heavily focussing on the application of dbt and Snowflake.

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