Seamless Data Access
Connect to a virtually infinite number of data sources and data volume
dataWerks comes with pre-integrated support for most data platforms (e.g., databases, big data stores) and data formats (e.g., MS Word, Excel, PDF).
dataWerks can seamlessly integrate with existing infrastructure and processes.
Referencing - Avoid data movement and the latency that comes with it
During the Referencing process, dataWerks is creating meta information for the actual data that resides in the connected data sources. This doesn’t require any data replication and is done in a way that doesn’t add overhead to the original sources. The References are stored as part of the dataWerks installation at the customer’s site.
The way the meta information is created during Referencing, completely avoids the need of creating yet another data model. Together with the seamless data access, this allows fast and simple extension of any dataWerks installation.
Data Mashups and Querying - Delivering results on-the-fly
The Data Mashup Layer works hand in hand with the References. Receiving the queries, the Data Mashup Layer accesses the References using a Domain Specific Language (DSL).
The Queries formulated in the DSL deliver distinct result from the References that are then mashed up to result sets before they are being returned.
Publishing and Interfacing - Empowering end users
dataWerks offers its own web interface to access data, eg. delivering 360° view of customers and slicing and dicing of results. It can also feed dashboards via web services and the dataWerks Connector allows rapid integration of 3rd party applications using a JDBC connection, widely supported by off-the-shelf BI and Visualization tools.
This allows business users to keep using their preferred tool to access data and taking full advantage of dataWerks’ unique capabilities.