MarkLogic’s schema-agnostic design lets you load data as-is and use it right away, without having to design a master schema that can accommodate all your data in advance.
And you can get great value from MarkLogic without ever doing any data modeling at all. But if you want to get the most out of your data, it helps to understand what’s in it. Much has been written on modeling data in a relational world, but how should you think about data modeling in the world of NoSQL?
Agenda
From 5pm
5.30 Welcome
5.35 A Turning Point for your Data - David Gorbet, MarkLogic
• Learn how MarkLogic’s unique combination of Documents + Semantics allows you to think about data modeling in a different way.
• How you can build physical data models that are much closer to your real-world conceptual models, making development much easier
• How you can iterate on them in an agile way to get value out of your data quickly without painting yourself into a corner.
6.30 Next Generation Data Models – How Data Point Modeling Really Works - Greg Soulsby, ModelDR
• How to develop a enterprise data model without complex extract, transform and load. You will learn how to kill the need for a data warehouse. You will see us use Open Gamma trading platform as an example of a complex source system.
• Why an enterprise wide data model using industry standards like FIBO and Data Point Modeling create an agile enterprise architecture, using MiFID II Trade Lifecycle reporting as the Use Case.
• How to run real time queries across your entire systems estate.We will use the Large Trade report as the example.
• How to support change, such as new reports, new view points by new actors and changing data schemas.
• Manage data qualityby exploiting the Data Point Model approach to concerns such as Bitemporality, Governance, Timeliness, Completeness and Accuracy.
7.00 Pizzas and beer
