The line between operational and analytic applications is an arbitrary division driven by limitations in legacy database and data-warehousing systems. Many people have extensive experience modeling data for Relational Database Systems (RDBMS). But in the modern world, NoSQL databases support a variety of native data types, such as XML, RDF, JSON, text and binary, and allow mixing and matching these within a database to provide flexibility and agility.
How do you move from an RDBMS view of the data world to a NoSQL view in order to leverage modern data models in your applications? Today, if you have data that’s useful, you build an application or put it in a data warehouse to unlock its value. Application by application, our data centers have become more and more complex. Bringing the value back to the data itself, rather than the application it’s built on, creates the data-centered data center; rather than an application-centric database.
In this session, David Gorbet, VP of Engineering at MarkLogic, will discuss:
How a data-centered data center can generate immediate returns
How to break down the barrier between operational and analytic data stores and applications.
Different data modeling techniques for XML, RDF and JSON
How to handle thousands of queries in sub-seconds on any combination of storage technology