Intrinsic characteristics of your data store mean you can store huge volumes of any type of data, as it is, without placing constraints on how that data is processed. So it is inevitable that challenges will arise around format and usage. For many organisations this store can quickly spiral into an uncontrolled environment from which it’s difficult to extract value.
The Big Data challenge
How HiperFabric can help
HiperFabric enables you to define a standardised data model without changing your data production pipeline. Using data virtualization, you can then integrate your Big Data store with additional sources. This gives you a unified view and real-time insights from across your organisation, not just from a portion of it.
Traditional approaches to Big Data may not provide access to a structured data model for consumers. HiperFabric enables you to add structure to Big Data, giving you instant visibility and powerful querying. Using HiperFabric, you can map your data into a unified model, then transform data on the fly as you extract it from the store, while combining Big Data with additional data sources.
When your data is channelled through HiperFabric you can make use of its integrated control features. HiperFabric provides a unified security model for all data sources. Control access to different entities in your target data model using fine-grained security.
High Performance and High Availability
Using HiperFabric as a data access layer does not introduce performance overheads because data is streamed directly from sources to consumers though the fabric. HiperFabric is scalable and processes large volumes of data in real-time by distributing requests across a cluster of lightweight nodes.