Automation First as a Data Strategy

Traditional data warehouse efforts have been time-consuming and resource-intensive, often plagued by manual processes and complex workflows. However, an automation-first approach revolutionizes this landscape by leveraging cutting-edge automation technologies and techniques.

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..

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.

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.

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..

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..

Event

Two free half-day sessions the 11th June in Amsterdam

In the morning, Mike Ferguson takes you on a tour on the ins and outs of a data mesh, a data lake and a data lakehouse. He co-leads the workshop on cloud data warehouse migration and makes the case for rapid data warehouse development using data warehouse automation. In the optional afternoon session, it is time for data warehouse automation in practice.

Quest for Knowledge Welcomes WhereScape in its Modern Data Architecture.

Every day, since 1999, Quest for Knowledge is working on improving the return on data. We were the first company in Europe to partner with gurus like Ralph Kimball, deploying activities in the Benelux and Sweden. Today, that attitude is unchanged: we constantly look for best practices and solutions in analytics. This resulted in the mastering and implementation of modern data and analytics architectures. Our partnership with WhereScape completes the execution of that vision to deliver fast, reliable and scalable data automation solutions for data warehouses in all flavours.

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.

Have questions or a challenge you would like to discuss? Schedule a 30-minute Call With One of Our Solution Architects! Fill in the form and we’ll be in touch!