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..
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..
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.