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
How to Govern Data Across 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.
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.
