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Scalefree - Wissen - Webinare - Zwischenbericht - Nutzung von Snowflake und Data Vault 2.0 für verbesserte Skalierbarkeit, Leistung und Kosteneffizienz

Join us for an insightful webinar where we’ll delve into the powerful synergy between Snowflake’s cutting-edge cloud data platform and Data Vault 2.0. Designed to meet the demanding requirements of modern data warehouses, this session will provide you with the knowledge and tools to significantly enhance scalability, performance, and cost efficiency. Our experts will guide you through the intricacies of leveraging these technologies to optimize your data management practices.

In the first part of the webinar, we will offer a comprehensive overview of Snowflake’s unique features. Discover how Snowflake’s scalable architecture, seamless data sharing capabilities, and advanced security measures can be harnessed to bolster your Data Vault 2.0 implementation. Our speakers will illustrate how these features collectively contribute to a more robust and efficient data warehouse solution, capable of handling increasing data volumes with ease.

The second part of the webinar will focus on actionable strategies for optimizing development processes within this integrated framework. Learn how to reduce the total cost of ownership through efficient resource utilization and sustainable data management practices. By the end of the session, you will have a clear understanding of how to implement these strategies to achieve long-term performance gains and cost savings, ensuring your data infrastructure remains both agile and economical.

WEBINAR-AUFZEICHNUNG ANSEHEN

Lautsprecher

Bild von Lorenz Kindling

Lorenz Kindling
Senior BI-Berater

Lorenz is working in Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on Data Warehouse automation and Data Vault Modeling. Since 2021, he has been advising renowned companies in various industries for Scalefree International. Prior to Scalefree, he also worked as a consultant in the field of Data Analytics. This allowed him to gain a comprehensive overview of Data Warehousing projects and common issues that arise.

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