Anzo Smart Data Lake 4.0 Bootcamp

To coincide with our 4.0 product release, Cambridge Semantics is pleased to announce Anzo Smart Data Lake 4.0 Bootcamp Training. This training covers the core concepts of Anzo and focuses on the new innovative features of ASDL 4.0. Participants will learn how to ingest data from various sources and auto-generate ontologies, navigate the catalog of Anzo objects generated, and visualize insights using our HiRes Analytics interface.

As the name implies, Anzo Bootcamp is an intensive 8-hour course that includes 4 instructor-led sessions, each accompanied by a hands-on lab. Courses will be delivered once a month via GotoMeeting.

Next Course Date/ Time: Now enrolling for the Friday, October 20th session (8 am - 5 pm ET).

Course Cost: $1,500 per student

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
  • Automated ingestion of data from structured sources
  • Preparing data for export to BI tools
  • Knowledge Discovery through exploratory analytics and visualization of diverse harmonized data

Instructor-led modules and labs leverage a common, complex but intuitive dataset that illustrates the power of the graph model and how data is harmonized. Labs are provisioned in the cloud for each student and can be made available to participants after the course for continued work against lab exercises and the exploration of other features.

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 instructor-led modules.

Duration: 8 hours via GoToMeeting.

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 ASDL can enable you to perform extensive knowledge discovery through harmonization of diverse data
  • Address common business analytic use cases
  • Build a complex ontology that meet your business
  • Automatically ingest and structured data
  • Publish advanced visualizations to analytic users
  • Integrate Anzo with other analytic and machine learning tools

Course Structure: The course comprises instructor-led modules and corresponding lab modules

Module 1: Overview of Anzo Smart Data Lake

  • Overview of ASDL
  • Why ASDL Uses Semantic Technologies
  • Overview of Key Concepts Enabling ASDL
    • Data modeling (model creation)

Lab 1: Structured Data Ingestion

  • Demonstration of automated structured data ingestion
  • Lab exercise: Commence auto ingestion of a relational database and a CSV

Module 2: The Catalog and Anzo Objects

  • Overview of ASDL Menu Items
    • Function of each menu item
    • Sample applications and examples

Lab 2: ASDL Catalog Exploration

  • Tutorial on ingesting structured data
  • Lab exercise: Exploring each sub menu item of ASDL Catalog to develop deep understanding of the ingested data and available resources for data management

Module 3: Ingestion and HiRes Analytics

  • Overview of structured data ingestion
  • Overview of HiRes analytics
  • Best practices and solutions approach

Lab 3: Building Dashboards for Exploratory Analysis

  • Demonstration of data harmonization
  • Tutorial on graph traversal
  • Tutorial on building lenses and dashboards
  • Lab exercise: Complete the data ingestion process. Answer a dataset-based exploratory analysis question

Module 4: ASDL Practice Ideas

  • Workflow ideas for ASDL deployment
  • Key considerations for workflow selection

Lab 4: Data Layers and HiRes Analytics Deep Dive

  • Tutorial on Data Layers
  • Lab exercise: Perform HiRes Analytics to answer knowledge discovery-driven questions

To register for this course, simply fill out the form below and we will be in touch shortly to complete the registration process.