Data Integration with the MarkLogic NoSQL Database

Data Integration with the MarkLogic NoSQL Database, available at Free, has an average rating of 4.55, with 89 lectures, based on 98 reviews, and has 15049 subscribers.

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You will learn about Use MarkLogic for data integration Create a data hub to deliver a 360° view of entities Load disparate data from data silos Transform between XML and JSON Use the envelope pattern to harmonize data Execute a CoRB process Execute a Data Movement SDK process Use RDF triples to harmonize data Use templates to harmonize data Use templates to extract data Generate a template view Write Optic API queries Use Entity Services This course is ideal for individuals who are This course is designed for developers and data architects who need to integrate data from silos in order to build an operational data hub to power their applications. We strongly recommend that you first complete the free Fundamentals of the MarkLogic NoSQL Database course on Udemy. It is particularly useful for This course is designed for developers and data architects who need to integrate data from silos in order to build an operational data hub to power their applications. We strongly recommend that you first complete the free Fundamentals of the MarkLogic NoSQL Database course on Udemy.

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Summary

Title: Data Integration with the MarkLogic NoSQL Database

Price: Free

Average Rating: 4.55

Number of Lectures: 89

Number of Published Lectures: 89

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Use MarkLogic for data integration

Create a data hub to deliver a 360° view of entities

Load disparate data from data silos

Transform between XML and JSON

Use the envelope pattern to harmonize data

Execute a CoRB process

Execute a Data Movement SDK process

Use RDF triples to harmonize data

Use templates to harmonize data

Use templates to extract data

Generate a template view

Write Optic API queries

Use Entity Services

Who Should Attend

This course is designed for developers and data architects who need to integrate data from silos in order to build an operational data hub to power their applications. We strongly recommend that you first complete the free Fundamentals of the MarkLogic NoSQL Database course on Udemy.

Target Audiences

This course is designed for developers and data architects who need to integrate data from silos in order to build an operational data hub to power their applications. We strongly recommend that you first complete the free Fundamentals of the MarkLogic NoSQL Database course on Udemy.

In this course you will?use your development skills to integrate data from silos to create an operational data?hub. In this course?you will learn how to use the flexible, multi-model NoSQL database MarkLogic in order to load, harmonize, and serve data from a data hub.

To be successful in this course, you will want to first complete the
free Fundamentals of the MarkLogic NoSQL Database course, and optionally the
Building XQuery Apps with MarkLogic course and the MarkLogic Semantics course.

Course Curriculum

Chapter 1: Introduction to the Course and Using MarkLogic for Data Integration

Lecture 1: Introducing the Course

Lecture 2: Understanding the Course System Requirements

Lecture 3: Download the Course Virtual Machine

Lecture 4: Using Virtual Box

Lecture 5: Getting Set Up

Lecture 6: Understanding an Operational Data Hub

Lecture 7: Learning About MarkLogic as a Multi-Model Database

Lecture 8: Pop Quiz

Lecture 9: Lab: Create a 360° View Database

Chapter 2: Loading and Indexing Data

Lecture 1: Storing and Indexing Data

Lecture 2: Loading Documents

Lecture 3: Splitting a Multiple-Record XML Document

Lecture 4: Transforming Between JSON and XML

Lecture 5: Loading Records From a .csv File

Lecture 6: Transforming Data While Loading Part 1

Lecture 7: Transforming Data While Loading Part 2

Lecture 8: Pop Quiz

Lecture 9: Lab: Load Data

Chapter 3: Harmonizing Data

Lecture 1: Understanding Data Harmonization Part 1

Lecture 2: Understanding Data Harmonization Part 2

Lecture 3: Using an Envelope Pattern to Harmonize Data

Lecture 4: Adding Data to an Envelope Part 1

Lecture 5: Adding Data to an Envelope Part 2

Lecture 6: Querying an Envelope

Lecture 7: Using CoRB for Batch Processing Part 1

Lecture 8: Using CoRB for Batch Processing Part 2

Lecture 9: Using the Data Movement SDK for Batch Processing Part 1

Lecture 10: Using the Data Movement SDK for Batch Processing Part 2

Lecture 11: Using the Data Movement SDK for Batch Processing Part 3

Lecture 12: Using the Data Movement SDK for Batch Processing Part 4

Lecture 13: Using the Data Movement SDK for Batch Processing Part 5

Lecture 14: Resolving Entities

Lecture 15: Pop Quiz

Lecture 16: Lab: Add Canonical Data

Chapter 4: Using Triples for Harmonization

Lecture 1: Using Triples to Harmonize Data

Lecture 2: Storing and Indexing Triples Part 1

Lecture 3: Storing and Indexing Triples Part 2

Lecture 4: Querying Triples Part 1

Lecture 5: Querying Triples Part 2

Lecture 6: Querying Triples Part 3

Lecture 7: Pop Quiz

Chapter 5: Using Templates for Data Extraction

Lecture 1: Understanding Template Driven Extraction

Lecture 2: Creating a Template for Rows

Lecture 3: Applying a Template Part 1

Lecture 4: Applying a Template Part 2

Lecture 5: Applying a Template Part 3

Lecture 6: Defining Variables

Lecture 7: Generating a View Part 1

Lecture 8: Generating a View Part 2

Lecture 9: Disabling and Deleting a Template

Lecture 10: Using TDE for Data Integration Part 1

Lecture 11: Using TDE for Data Integration Part 2

Lecture 12: Pop Quiz

Lecture 13: Lab: Create a Template

Chapter 6: Making SQL Queries

Lecture 1: Understanding SQL in MarkLogic

Lecture 2: Running a SQL Query

Lecture 3: Doing a Join

Lecture 4: Creating an ODBC App Server

Lecture 5: Installing the ODBC Driver Part 1

Lecture 6: Installing the ODBC Driver Part 2

Lecture 7: Using mlsql

Lecture 8: Executing SQL from JavaScript or XQuery

Lecture 9: Pop Quiz

Chapter 7: Making Optic API Queries

Lecture 1: Understanding the Optic API

Lecture 2: Writing an Optic API Query Part 1

Lecture 3: Writing an Optic API Query Part 2

Lecture 4: Writing an Optic API Query Part 3

Lecture 5: Using Document Criteria

Lecture 6: Creating a Document Join Part 1

Lecture 7: Creating a Document Join Part 2

Lecture 8: Including Triples Part 1

Lecture 9: Including Triples Part 2

Lecture 10: Including Triples Part 3

Lecture 11: Using the Optic API in an Application Part 1

Lecture 12: Using the Optic API in an Application Part 2

Lecture 13: Writing an Optic API Query in XQuery

Lecture 14: Using the Optic API with the REST API

Lecture 15: Pop Quiz

Chapter 8: Modeling and Harmonizing through Entity Services

Lecture 1: Understanding Entity Services

Lecture 2: Writing a Model Descriptor

Lecture 3: Defining an Entity Type

Lecture 4: Storing a Model

Lecture 5: Generating Model-Driven Components

Lecture 6: Creating Entity Instances Part 1

Lecture 7: Creating Entity Instances Part 2

Lecture 8: Using Instances

Lecture 9: Pop Quiz

Chapter 9: Learning About the Data Hub Framework

Lecture 1: Understanding the Data Hub Framework

Lecture 2: Course Wrap Up

Instructors

MarkLogic University
Free training on the MarkLogic NoSQL database platform.

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 11 votes

4 stars: 45 votes

5 stars: 41 votes

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