Cloud Data Warehouse Automation
Make fast course corrections, outsmart the competition, optimize customer experiences, and deliver on a myriad of other strategic initiatives.
Data Warehouse Automation
Without Automation
- Migration to the cloud can involve the movement of massive volumes of data. The team must ensure that all migration mechanisms preserve the structure and integrity of data. Without automation, it’s impossible to guarantee that all structures follow documented guidelines.
- You’re at the mercy of human error. Proper data quality and integrity processes in repeatable and reusable ways can’t be ensured.
- One thing is guaranteed for implementers creating an analytical environment – it will change. Changes are a sign of healthy analytics usage, but the implementation team must be equipped to handle the changes quickly without disrupting other analytic functions.
- Without automation, implementers are much less efficient and effective and prone to inconsistencies with delivering reliable additions to the cloud data warehouse quickly.
- The entire analytics environment development becomes more consistent, reliable, and reusable. With automation, workflow is more efficient and effective, leading to faster deployments and higher overall satisfaction rates from the business community.
- Auto-documentation of the entire environment is painlessly created and updated. New additions and maintenance and sustainability of existing functionalities are easier, even in the face of constantly changing requirements.
- The team gains a sense of confidence and competence in the face of what could be a daunting effort.
- With automation, implementers are much more efficient and effective, improving their ability to deliver reliable additions to the cloud data warehouse quickly.
Cloud Infrastructure Automation
While cloud-based data warehouse solutions eliminate most of the overhead costs and effort of physical infrastructure, IT teams still need to design, develop, deploy and operate the data infrastructure. With cloud data warehouse automation, your team can fast-track new infrastructure and migration projects and increase your development and operations capabilities. It’s the best way to maximize your organization’s return on its cloud investment.


Moving Your Data Infrastructure to the Cloud
WhereScape automation helps IT teams gain the benefits of cloud data warehousing sooner. Whether building an AWS data warehouse or leveraging specialized cloud data warehousing platforms such as Snowflake, Amazon Redshift, or Microsoft Azure SQL Data Warehouse, WhereScape eliminates hand-coding and speeds up cloud migration, data management and data warehouse development by 80 percent.
WhereScape can also help you manage a hybrid data warehousing environment, giving you a cohesive view of your data infrastructure and making it easy to tackle data integration and move data between on-premises and cloud platforms.

Cloud Data Warehouses
While cloud-based data warehouse solutions eliminate most of the overhead costs and effort of physical infrastructure, IT teams still need to design, develop, deploy and operate the data infrastructure. With cloud data warehouse automation, your team can fast-track new infrastructure and migration projects and increase your development and operations capabilities. It’s the best way to maximize your organization’s return on its cloud investment.

Delivering data productivity at scale
Extend enterprise data into live streams with a simple and universal solution.

Change data capture
A simple and real-time solution for continually ingesting and replicating enterprise data when and where it’s needed

Broad support for source and targets
Support for the industry’s broadest platform coverage provides a single solution for your data integration needs

Enterprise-wide monitoring and control
7 Considerations When Building a Cloud Data Warehouse
Learn more from the Eckerson Group on the transformative impact of data warehouse automation.
