Janice Hurley Trailor blog Hybrid Analytica – Connecting Cloud and On-Premise Business Intelligence Systems

Hybrid Analytica – Connecting Cloud and On-Premise Business Intelligence Systems



For decades, it has been considered best practice to keep transactional and analytic workloads separate. This helps to ensure that analytical queries do not impede upon the flow of operational transactions and to avoid data pipeline indigestion. However, it can lead to complex and time-consuming ETL processes when transferring data between systems. This is especially true when large data sets are involved, and it is also hard to get good performance out of the query engine.URL :https://www.hybridanalytica.com.sg/

One approach that addresses these challenges is to use a hybrid analytics architecture with both an on-premises business intelligence system and a cloud based business analytics system. This allows for the flexibility to provide users with the reporting and visualizations that are most relevant to their day-to-day workflow, without having to search across multiple different platforms to find what they need.

The Future of Decision-Making: Harnessing Hybrid Analytica’s Expertise

For example, a sales end user may be interested in viewing their own performance metrics from Tableau Server, some predictive visualizations about their current sales pipeline from SAP Analytics Cloud and their quota progress from Power BI Server. Creating a hybrid analytics platform that enables links to be created to each of these different systems would allow for the information to be easily located, and it can be delivered all at once, with no need to maintain hyperlinks or navigate between desktop applications.

Using a hybrid analytics architecture with SQL Server and Azure cloud capabilities provides the best of both worlds. It enables organizations to leverage existing, institutional SQL Server expertise and combines it with Azure cloud capabilities for a more unified analytics experience that spans environments rather than requiring a full cloud migration.

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