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Knowledge Graph Training


Anzo Knowledge Graph Management Platform Training

Cambridge Semantics is pleased to make Anzo Knowledge Graph Management Platform (AKG) Training available to all audiences. This training will quickly cover the core concepts of Anzo and then move into the new innovative features of AKG 5.0. Participants will learn how to ingest data from various sources, auto-generate ontologies, navigate the catalog of Anzo objects, and visualize insights using our HiRes Analytics interface.

Delivery Options: Training is available in a variety of formats to address the needs of any audience including:

  • Instructor Led Virtual
  • Instructor Led In-person
  • Custom Curriculum
  • Self-paced Training

Each student is provisioned with an Anzo instance in the cloud to perform hands-on exercises and explore the product in more depth. Please contact us for more details and pricing. 

Course Overview: The course begins by arming students with foundational semantic technology concepts and why Anzo leverages them. The introductory module places particular emphasis on comparing and contrasting semantic technologies with relational databases and traditional data lake technologies through illustrative examples. With these concepts in place, participants perform standard data management activities leveraging each of the Anzo platform components, including:

  • Data Modeling (creating and editing ontologies using Anzo Ontology Editor)
  • Data Ingestion, Mapping, and Transformation (ingesting data from relational databases and spreadsheets using GDI – Graph Data Interface)
  • Data Curation and Third Party Analytic Tool Integration (text analytics and data linking using Anzo Unstructured and the Open Data Protocol (Odata) standard to port data to analytics tools such as Spotfire, Tableau, and MS Excel)
  • Knowledge Discovery through exploration, visualization, and exploratory analytics of diverse harmonized data (performing analytics and creating rich visuals using Anzo on the Web)

Modules and lab exercises leverage a common, complex but intuitive dataset that illustrates the power of the graph model and how data is harmonized

Course Package: The course package comprises a cloud instance for lab exercises and a Lab Guide. Extended time within the cloud-provisioned lab environment is available. The Lab Guide offers step-by-step instructions to participants to perform hands-on lab exercises and reinforces key concepts on topics covered in the training modules.

Prerequisites: This class is designed for beginner to intermediate audiences. Resources are available on our website for participants who wish to explore Anzo in advance. Participants are expected to have at least basic familiarity with data management workflow and analysis. Prior exposure to data analysis tools is helpful.

Smart Data Lake
Learn how enterprises create Smart Data solutions, based on the Anzo Smart Data Platform.

Semantic University
An overview of Semantic technologies including RDF, OWL and SPARQL

CSI Webinars
Recorded sessions that provide architectural and industry perspective

CSI Videos
Short videos that demo high-level Anzo platform functionality

Common questions and answers prospects and customers ask about our technology

Course Objectives: At the end of this class, you will be able to:

  • Develop an understanding and appreciation of how AKG can enable you to perform extensive knowledge discovery through the harmonization of diverse data
  • Address common business analytic use cases
  • Build a complex ontology that reflects your business
  • Ingest and curate structured and unstructured data for end users
  • Publish advanced visualizations to analytic users
  • Integrate Anzo with other analytic and machine learning tools

Course Structure: The course comprises 8 modules intended to provide the audience with a foundational understanding of the product workflow and corresponding lab modules to reinforce the concepts.

Module 1: Anzo Overview

  • Overview of AKG (Anzo Knowledge Graph Platform)
  • Why AKG Uses Semantic Technologies
  • Overview of Key Concepts Enabling AKG 

Module 2: Onboarding Data

  • Tutorial on approach to adding data source in Anzo

Lab 1: Data Ingestion 

    • Lab exercise: Creating data source and auto-generating the RDF and baseline Ontology

Module 3: Building Data Models

  • Tutorial on how to create/modify/import ontologies in Anzo

Lab 2: Data Modeling

    • Lab exercise: Creating canonical model and adding traversal links among classes

Module 4: Introduction to SPARQL

  • Tutorial on approach on how to write basic SPARQL queries
  • SPARQL understanding with parallels drawn from SQL

Lab 3: Query Data in Anzo’s Query Builder

    • Lab exercise: Writing a simple query to explore the onboarded dataset

Module 5: Data Blending with Data Layers

  • Tutorial on how to map/blend/transform data using SPARQL

Lab 4: Data Blending

    • Lab exercise: Writing basic SPARQL queries to traverse data from one class to another

Module 6: Visualization and Accessing Data

  • Introduction to Anzo’s BI Tool – Hi-Res Analytics
  • Tutorial on approach to exploring the Knowledge Graph constructed

Lab 5: Knowledge Graph Exploration 

    • Lab exercise: 
      • Create basic table lenses to see data from different classes
      • Create simple charts – Bar Chart, Line Chart, Heatmaps, etc.

Module 7: Accessing Data with External Tools

  • Tutorial on approach to creating OData endpoints

Lab 6: Third-Party Tools Connection

    • Lab exercise:
      • Create a Data on Demand Endpoint
      • Access data in Python, Tableau, Power BI, etc.

Module 8: SPARQL Structure, Keywords, and Functions Training

  • Tutorial on approach to using advanced SPARQL functions to transform real-world data
  • Getting familiar with the most common errors while writing SPARQL queries

Lab 7: Advanced SPARQL Functions

    • Lab exercise:
      • Use of Filter, Filter not Exists, Union, and Optional
      • Basic String Manipulation and Aggregation Functions

For more information or to register for this course, simply email us at