Why Data Warehouse Automation is Now

Many organisations operate more than one data warehouse and experience the pain, the cost and the pressure from the business to keep up with rapidly changing business requirements and data sources.

The challenges of modern data warehousing are being further compounded by advances in data strategy, data architecture and data management. If you are embarking on cloud migration projects or starting to handle real-time streaming data, the challenges can quickly overwhelm a team's capacity to handle them manually. This is where Data Warehouse Automation, or more broadly categorized as data infrastructure automation, becomes crucial to achieving modernization and agility goals.

How to Use Data Warehouse Automation Tools?

Mike Ferguson explains how you can use metadata-driven data warehouse automation tools to rapidly build, change and extend modern cloud and on-premises data warehouses and data marts.

What Exactly is Data Warehouse Automation?

In simple terms, data warehouse automation is the process of automating data warehouse development, deployment, and maintenance. This process replaces traditional manual methods with automated ones, speeding up the entire data warehousing process and eliminating manual coding.

How Data Warehouse Automation Differs From ETL and ELT Tools

Although ETL and ELT solutions can aid data warehousing teams with certain data movement tasks, data warehouse automation software offers much broader, far-reaching capabilities and benefits across the entire data warehousing lifecycle.

Accelerate Cloud Data Warehousing With Automation

IT teams can accelerate their adoption of cloud data warehousing by utilizing Data Automation. Whether building an AWS data warehouse or leveraging specialized cloud data warehousing platforms such as Snowflake, Amazon Redshift, or Microsoft Azure Synapse, Data Automation eliminates hand-coding and speeds up cloud migration, data management and data warehouse development.

Data Warehouse Automation also enables managing a hybrid data warehousing environment, prociding a cohesive view of the data infrastructure and simplifying data integration and movement between on-premises and cloud platforms.

Dimensional Modeling: The Kimball Approach

Don't miss the opportunity to learn directly from Joy Mundy, co-author with Ralph Kimball and other members of Kimball Group, of many of the popular “Toolkit” books. Learn how to apply Ralph’s techniques for developing your dimensional model, from the basics to the most advanced.

22-24 May, Stockholm 

Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise

In recent years, numerous vendors have introduced data catalog software, resulting in a market now comprising over 40 products. But what exactly is this software, and what drives its necessity? Mike Ferguson explains this and more in his new 1-day Data Catalog course.

16 May, Amsterdam

Next steps

Learn more about data warehouse automation and how it can help your data warehousing team unite and fast-track the entire data warehousing lifecycle to deliver data warehouse projects faster.

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