Modern Data Mart

The Problem

Are you tired of spending countless hours and resources on manually integrating data from various sources, only to face errors and delays in accessing valuable insights? Traditional data mart solutions can be complex and time-consuming, making it difficult to provide real-time access to data. In addition, you may struggle to provide real-time access to data, as it may take significant time and resources to extract, transform, and load data into a central repository.

The Solution

Organizations can create a virtual data mart that provides a unified view of data from multiple sources without the need for manual integration and transformation of data. This can help organizations to quickly gain insights from their data and make informed decisions.

1. Virtual datasets

Creating virtual datasets in Canner Enterprise means that different users can view the same dataset in different ways without the need for physical data storage or databases. Canner Enterprise operates metadata to provide a consistent view of the data and creates virtual views for each user based on their access rights and permissions.

2. Horizontal Scalability

Canner Enterprise can help to ensure horizontal scalability by distributing data and processing across multiple nodes. This can help organizations to handle large volumes of data and increase performance as data grows.

3. Decoupling Computation and Storage

Canner Enterprise can help decouple computation and storage by enabling data processing to be performed separately from data storage. This can enable organizations to scale computation and storage independently, optimizing performance and cost.

4. Simplified Data Access

With multiple data sources to integrate, data integration can be complex and time-consuming. Organizations need a solution that simplifies the process and reduces the time and resources required for data integration.

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