Creating a successful composite model in Power BI involves integrating various data sources and considering several factors to ensure optimal performance and security. The composite model allows for combining DirectQuery tables and Import Data tables in a single Power BI model. This mixed-mode approach can be particularly beneficial for handling large data tables, providing both performance and scalability. It also supports using Dual storage mode, which keeps a copy of a DirectQuery table in memory for quick access. Understanding these aspects is crucial for effectively using composite models in Power BI to combine data from various sources into a cohesive and meaningful report.
The solution to creating a successful composite model using Datasets in PowerBI was to use the right combination of models that best solved the organization's specific problem. This was achieved by defining the problem and data available, determining the best combination of models, preparing and cleaning the data using Dataflows, creating a model with Dataset in DirectQuery and combining both in a Composite Model, fine-tuning, validating and deploying the composite model in production and monitoring its performance over time. By following these steps, the organization was able to create a composite model tailored to their specific needs, providing accurate and actionable insights.
The results of creating a successful composite model using Datasets in PowerBI were the creation of a centralised Enterprise Data Model that was fast and efficient. This centralised model brought together data from various sources, cleaned and transformed the data using Dataflows, and created a model based on the data stored in a direct data source using Dataset in DirectQuery. The Composite Model allowed the organization to combine the strengths of both models, providing accurate and actionable insights. As a result of this composite model, the organization was able to gain a better understanding of their data, improve decision-making, and streamline their business processes. Additionally, the composite model was deployed in production and its performance was continuously monitored, ensuring that the model was up-to-date and providing accurate results. Overall, the implementation of this composite model led to improved business performance and a better return on investment for the organization.
Data sits in the Datacenter and accessed by directquery. It is no longer all over the place.