Learn tips and techniques for modeling your data in MarkLogic. Examine why some data models are more successful than others. How multi-model data can be stored in MarkLogic databases to simplify and speed up your data integration.

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MarkLogic and NiFi
29:31
Impact of Normalization: Lessons Learned
4:53
Progressive Transformation using the Envelope Pattern
16:58
XML and JSON Data Modeling Best Practices
11:31
Data Modeling: Embedded Triples
10:22
CoRB
9:19
MarkLogic and NiFi
Description

This video is an introduction to using a MarkLogic processor in NiFi to facilitate the integration of data from a relational database to MarkLogic.

Learning Objectives

Learn about integrating data from a relational databse to MarkLogic using Apache’s NiFi.

Prerequisites

MarkLogic Fundamentals
Familiarity with Apache NiFi

 

Impact of Normalization: Lessons Learned
Description

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.

Learning Objectives

Learn about modeling your data to take advantage of MarkLogic features and speed. Examine the affects of initial data modeling decisions using a scenario.

Prerequisites

MarkLogic Fundamentals

 

Progressive Transformation using the Envelope Pattern
Description

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.

Learning Objectives

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.

Prerequisites

MarkLogic Fundamentals

 

XML and JSON Data Modeling Best Practices
Description

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.

Learning Objectives

Learn best practices for modeling data in MarkLogic using XML and/or JSON.

Prerequisites

MarkLogic Fundamentals

 

Data Modeling: Embedded Triples
Description

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.

Learning Objectives

Learn how and when to embed Semantic Triples into documents in MarkLogic.

Prerequisites

MarkLogic Fundamentals

 

CoRB
Description

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.

Learning Objectives

Learn about CoRB for bulk reprocessing of documents in MarkLogic.

Prerequisites

MarkLogic Fundamentals

 

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