SDL supports a paradigm shift for IT in which data is no longer integrated and prepared to just answer pre-determined questions and reports. The data is linked, contextualized and then archived in the data lake. This prepares the data for discovery, reuse and simple end-user driven integration. The end-users can use it in any combination that makes sense to them to interactively answer any question supported by the available data.

Using a complete suite of NLP, semantics aware ETL, graph-based models and semantic technology, organizations work faster, with more flexibility and greater accuracy. The Smart Data Lake delivers unprecedented data value, turning data assets into competitive advantage.

Key features of the Anzo Smart Data Lake include:

• Business friendly semantic models (enterprise knowledge graphs) that describe all of your data in common business terms
• Auto-generation of complex graph queries joining across many different entity types facilitating simple dashboard creation by end-users
• Consistent, analyst ready, tool set for data ingestion, transformation and consumption
• Rapid data ingestion into Hadoop HDFS from any source, structured or unstructured
• Linking and contextualization of data across very large and diverse data sets
• Business user self-service data and app catalog
• In-memory graph analytics accelerator supporting interactive queries on big data sets
• Includes a Smart Data Integrator to create smart data from structured sources using Apache SPARK

Without the SDL, a company’s data is a just a collection of pieces of information that analysts and data scientists can only partially understand. SDL is the solution to untangle/avoid a data swamp.