Data Warriors, Champions, and Visionaries — Join Us!

Relevant and rigorous training for Incorta developers

Designed to serve the learning goals of both database and data warehouse developers already familiar with Incorta, this course dives deeper into how developers can unleash no-limits analytics within their organization using Incorta 4.6.

Experience Builds Confidence

Hands-on, project-based learning

Through instructor-led discussion and interactive project-based labs, students will master Incorta key concepts, terminology and topics for on the job success.

Superheroes Wanted!

Audience prerequisites

This course is ideal for folks who have previously achieved Incorta certification. You should be already familiar with Incorta schema design and dashboard development. Additional experience with structured data, relational database systems, SQL, Python, machine learning, and shell scripting is helpful.

Decision Tech for Business Growth

Professional certification for stardoma

Incorta Certification establishes your leadership credentials and validates your expertise.

You can achieve Incorta certification by completing this course and by passing a certification exam. With a few clicks, you can easily add your digital certificate to your LinkedIn profiles.

Curriculum

Course modules

  • 1

    About Foundations

    • Course Prerequisites
  • 2

    Details and Downloads

    • Welcome

    • BYOL and Software Requirements

    • Video: Session 01

    • Video: Session 02

    • Video: Session 03

    • Video: Session 04
  • 3

    Your On Demand, Cloud VM

    • Ready, Set, and Go!
  • 4

    Incorta 4.6 Architecture

    • Architecture Diagram
  • 5

    Demystifying Variables and Filters

    • Filters Overview

    • Prompts

    • Presentation Variables

    • System Variables

    • Session Variables

    • LAB: Session Variables

    • Lab-1a- Solution

    • Lab-1b- Solution

    • LAB: Presentation Variables

    • Lab-2-Solution PART 1

    • LAB 2- SOLUTION PART 2

    • Runtime Security Filters (Table)

    • LAB: Runtime Security Filters
  • 6

    No-ETL Schema Design

    • Formula Columns in Schema Design

    • Simulating Join Types

    • Table Alias

    • Incorta Table

    • LAB: Cohort Analysis with Incorta Table

    • Materialized Views
  • 7

    Schema Workshop

    • Create the Schema

    • Sanity Check

    • Check #1: Count of Employees and Average Salary

    • Check #2: Count of Employees by Department and Title

    • Check #3: Average Department Salary and Distinct Employee Count

    • Check #4: Average Salary by Department Name and Title

    • Schema and Dashboard
  • 8

    Advanced Data Loading Strategies

    • Loading Data

    • Incremental Schema Loads

    • Snapshots

    • LAB: Dense Snapshot

    • LAB: Sparse Snapshot

    • Slow Changing Dimensions

    • LAB: SCD Type II

    • Data Integration from Multiple sources

    • Additional PySpark resources

    • Dashboards for labs
  • 9

    The Path From Dashboards to AI

    • Incorta Maturity Model

    • About Apache Kafka

    • Incorta Apache Kafka Connector

    • LAB: Streaming Ingest with Apache Kafka and JSON

    • Machine Learning and Predictive Analytics with Apache Spark

    • LAB: Predicting Airfares

    • Avro
  • 10

    Certification Exam

    • Instructions

    • Certification Exam
  • 11

    Wrap Up

    • What's Next?

    • Pay it forward!