Hybrid DWH
& Big Data

The best of both worlds!

trivadis big data

Where scalability and flexibility are concerned, the capabilities of Hadoop, NoSQL and Co. today go far beyond the boundaries of relational and multidimensional databases. But this alone does not by any means qualify them as a substitute for the traditional data warehouse world. Instead, the aim is to achieve the greatest attainable seamless interaction to derive the benefits of both systems.

In hybrid architectures, roles and responsibilities are shared between the available technologies as effectively as possible according to their technical suitability and the cost aspects. Appropriate connectors and data integration tools utilized for the linking up the different systems and the sharing of data.

Structure and flexibility!

Colossal amounts of fine-grained data can be stored on Hadoop, whereas less detailed and properly prepared information is kept in relational and multidimensional data warehouses. Both data sources are then used jointly as required. Correspondingly, highly structured data can be offered in relational databases for maximum user convenience, while data scientists run their analysis platform on Hadoop and NoSQL for reasons of flexibility. This scenario can give many companies a suitable introduction to the new technologies.

  • Flexibility with big data technology
  • Investment security of established DWH solutions
  • Launch pad for new analytical possibilities

trivadis hybrid big data

Gregor Zeiler

Trivadis, Senior Solution Manager Business Intelligence