Browse courses

Dimensional Modeling: The Kimball Approach

The word “Kimball” is synonymous with dimensional modeling. Learn how to apply Ralph’s techniques for developing your dimensional model, from the basics to the most advanced.

Instructor:

Joy Mundy

Practical Guidelines for Implementing a Data Mesh

What is a Data Mesh and how does it differ from a Data Lake and a Data Lakehouse? What are the implementation options? What software is required to build, operate and govern a Data Mesh?

Instructor:

Mike Ferguson

Data Warehouse Modernization

Learn the tools and techniques needed to capture new data types, establish a data pipeline to produce re-usable data assets, modernize your data warehouse and bring together data and analytics.

Instructor:

Mike Ferguson

Centralized Data Governance of a Distributed Data Landscape

Learn what is needed to discover, classify and govern data and content by using a data governance framework. And learn key technologies like data catalogs, data classifiers, data fabric and MDM.

Instructor:

Mike Ferguson

Migrating to a Cloud Data Warehouse

Learn how to migrate a data warehouse schema, data and ETL jobs and security while minimizing the impact on business users. Should you migrate an existing data warehouse ‘as is’ or try to make changes during migration?

Instructor:

Mike Ferguson

Data Warehouse Lifecycle: The Kimball Approach

Learn the essential elements of the popular Kimball approach as described in the bestselling book, The Data Warehouse Lifecycle Toolkit.

Instructor:

Joy Mundy

Big Data Architecture and Technology for Analytics

Get you up to scratch on big data technologies such as Spark, Cloud Storage Data Lakes, Hadoop, Lakehouses, Flink, Analytical SQL, NoSQL DBMSs and Multi-Platform Analytics.

Instructor:

Mike Ferguson

Embedded Analytics, Intelligent Apps & AI Automation

Learn how you can embed BI, ML and AI-automation into applications and processes to make your company data and AI-driven.

Instructor:

Mike Ferguson

Data Warehouse ETL: The Kimball Approach

This course helps you understand all the factors necessary for effectively designing the back room ETL system of your Kimball DW/BI environment.

Instructor:

Joy Mundy

Self-Service Data Science Workshop

Learn how to identify data science problems or opportunities, choose the best-fit modeling approach, select the correct features to model, evaluate the results and deploy the model.

Instructor:

David de Roos

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