MarkLogic VISION

Join us for part 1 of this 2 part webinar series to explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Then, connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

On 17th November at 4pm GMT, part 2 of the series will provide a technical deep dive into the MarkLogic Optic API, a revolutionary solution that blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. Discover the enabling features of the Optic API including Template Driven Extraction, which makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. Then access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API.

Be sure to register for both parts of this educational series to secure your seat.

In part 1 of this 2-part series, we explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Now in part 2, we'll demonstrate how to connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

Our revolutionary Optic API blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. One of the enabling features, Template Driven Extraction, makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. You can access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API.

This is a two-part special to launch MarkLogic 11 and give you an overview of the new direction we’re taking our data platform. Jeff Casale, MarkLogic CEO will give his keynote address, giving you a great insight into how we are going to develop MarkLogic, the agile nature of this development and why we are innovating in such a fashion. Afterwards Jeff we will be joined by MarkLogic’s Chief Customer Officer, John Loparco for a fireside chat about the role our customers play in the development of MarkLogic and why we are taking such a customer-focused approach to our data platform’s development. Chairing this discussion will be our special guest speaker, Chris J. Preimesberger, Writer/editor at VentureBeat & ZDNet as well as Editor Emeritus at eWEEK.

During the event we’ll give you a sneak-peak at MarkLogic 11’s new features including:

- Extended platform capabilities including BI tool integration (GraphQL support), GIS tool integration (enhanced OpenGIS and GeoSPARQL support) and a new security option for external authentication (OAuth).
- Enhanced multi-model analytics that extend our unique multi-model query language to include geospatial, and even easier integration with BI tools like Tableu
- Geospatial analysis – a more flexible model for indexing and querying geospatial data, scalable export of large geospatial result sets, interoperability with GIS tools; includes support for OpenGIS and GeoSPARQL
- Queries at scale – Improved support for large analytic, reporting, and/or export queries
- Docker and Kubernetes support

For more details on MarkLogic 11, go to our dedicated ML11 page at www.marklogic.com/ml11/