Learn tips and techniques for modeling your data in MarkLogic. Examine why some data models are more successful than others, and how multi-model data can be stored in MarkLogic databases to simplify and speed up your data integration.
This video is an introduction to using a MarkLogic processor in NiFi to facilitate the integration of data from a relational database to MarkLogic.
Learn about integrating data from a relational databse to MarkLogic using Apache’s NiFi.
MarkLogic Fundamentals
Familiarity with Apache NiFi
Explore using MuleSoft to connect relational databases and MarkLogic Data Hubs. View a demonstration using a MuleSoft flow and the MarkLogic Connector to update a MarkLogic Data Hub with content from relational tables.
Learn the use-case of using MuleSoft and the MarkLogic Connector to load data from many different data sources to the MarkLogic Data Hub.
MarkLogic Fundamentals
Getting Started with the MarkLogic Data Hub (recommended)
Part of the data modeling series, this video looks at the impacts of data normalization. Through looking at a scenario, learn about issues with an initial data modeling decision and how taking a different approach benefits the scenario.
Learn about modeling your data to take advantage of MarkLogic features and speed. Examine the affects of initial data modeling decisions using a scenario.
In this episode in the data modeling series, learn what is progressive transformation of data, loading relational business entities as-is, idiomatic versus canonical data, using the envelope data modeling pattern to store canonical forms of data and approaches to modeling entity relationships between documents.
Learn about progressive transformation of data. Idiomatic versus canonical data. Using the envelope pattern for data modeling in MarkLogic. Explore an approach to modeling entity relationships between documents.
Learn some best practices when modeling data in XML and/or JSON. This is part of a series of data modeling topics. In this tutorial, we will cover document sizing and granularity, keeping the model simple and understandable, and applying envelope patterns.
Learn best practices for modeling data in MarkLogic using XML and/or JSON.
In this episode in the data modeling series, learn some of the benefits of embedding semantic triples into documents. This tutorial demonstrates how to embed triples, loading embedded triples and leveraging documents with triples.
Learn how and when to embed Semantic Triples into documents in MarkLogic.
In this video, learn the basics of CoRB (Content Reprocessing in Bulk), a Java tool designed for bulk content-reprocessing of documents stored in MarkLogic. Also, learn the steps to implement for using CoRB, and see a demonstration of using CoRB.
Learn about CoRB for bulk reprocessing of documents in MarkLogic.
Read the methodologies, concepts, and use cases related to application development in MarkLogic Server, with additional resources.
Want to build that awesome app? Get off the ground quickly with the developer track, with instructor-led and self-paced courses.
This series of short videos tutorials takes developers who are new to MarkLogic from download to data hub, fast.
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