Enterprise Data Hubs

Enterprise Data Hubs (EDHs) provide the best of both worlds between traditional data warehousing and BI tools and new Big Data architectures such as the Data Lake. In an EDH, the Data Lake becomes analogous to a general-purpose staging/landing area. That data can be written into one or more data warehouses strategically to take advantage of the strengths and domain focus of each, while still being available for advanced and ad-hoc analytics and in combination with other unstructured and cross­cutting data sets.

Enterprise Data Hubs - Data warehousing Solutions
Enterprise Data Hubs and Predictive Modeling

While there are circumstances that warrant exclusive focus on Hadoop and NoSQL applications, or on traditional data warehousing and BI, BigR.io generally takes the stance that there is a time and place for both, and that an integration of the two often yields superior insights without sacrificing existing high-value BI and reporting applications.

Benefits of the EDH architecture include:

  • Utilization of multiple logical data warehouses can optimize costs and focus of different technologies, using each where it is strongest. This leads to a separation of concerns, decoupling data sources from single analytical systems.
  • An incorporated Data Lake layer can support data tiering and offload strategies for ETL and other necessary supporting background processes.
  • A unified data architecture provides simpler, superior governance and metadata management, ensuring better security, lineage analysis, and contextual metadata bridging schematic and semantic differences between data sets.

BigR.io can help you design and implement an Enterprise Data Hubs architecture to help combine existing data warehousing investments with Hadoop and other Big Data technologies. Utilize the best-of-breed solutions for each data class and domain use case to drive your business faster!

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