Data Architecture courses

Free end-user conference with Mike Ferguson exploring the role of AI in data management and making a strong case for accelerating data engineering through the use of a data catalog.

Learn how a modern data architecture allows you to use a data catalog, data fabric and data observability to build resilient DataOps pipelines to create a data mesh of reusable data products published in a data marketplace.

Learn about the emergence of Data Mesh and its introduction of Data Products as a potential way to accelerate the creation of data for use in multiple analytical workloads. Delve into the key components for speeding up the development of Data Products, and uncover the initial steps to build your Data Product strategy.

Learn about the inner workings and capabilities of data catalogs, along with mastering their utilization for data discovery, classification, and cataloging across multiple data stores both on premises, across multiple clouds, and at the edge.

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

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.

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?

Experience the full potential of Data Warehouse Automation technology by attending a 4-hour hands-on workshop.

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.