Gain a deeper understanding of the best practices when structuring your data layers.
As organizations start to work with more and more data, they see the need to redesign their data structure to support faster data processing. What are the best practices for building a data architecture that will help you achieve this goal?
This session will delve deep into a 3-tiered framework and strategy (Hot, Warm and Cold), to explain how you can better categorize data for more efficient data analysis. You will also learn how Tableau Data Management can help you improve data governance, deliver impact analysis, and run data prep flows in Tableau Server.
Kindly note that this session will be conducted in Bahasa Indonesia.
What will be covered
- Hot, Warm, Cold data best practice for performance
- Prep Builder & Prep Conductor best practice for data preparation
- Tableau Data Management add-on - Data Catalog best practice for Governance & Audit
Who should attend?
- IT, Server Administrators, Data Engineers, Data Stewards, Content Creators and Content Explorers