According to industry expert Data Wells of Eckerson Group, most organizations today operate more than one data warehouse, with the majority having between two to five legacy data warehouses to manage. In the face of rapidly changing data sources and business requirements, sustaining these warehouses – and designing, developing, deploying and operating new ones – is costly, labor intensive and time-consuming.
Data strategy, data architecture and data management advances additionally are compounding the challenges of modern data warehousing. Whether you are pursuing cloud migration initiatives or beginning to work with real-time, streaming data, new challenges can quickly exceed a team’s ability to do the work manually. Data warehouse automation, or more broadly categorized as data infrastructure automation, fills a critical and essential role in modernization and agility efforts.
Review the primer and readiness guide titled Is Data Warehouse Automation Right for Your Organization? to better understand data warehouse automation – what it offers teams and the organizational characteristics necessary to leverage it. Inside the guide, you’ll learn:
- 5 reasons to use data warehouse automation
- 10 data warehouse automation myths
- how data warehousing patterns contribute to automation success
- the organizational characteristics necessary to succeed
You’ll also receive an organizational checklist you can use to assess if data warehouse automation is right for your organization.