Buyers Guide and Checklist for Data Integration
Data integration is a critical step in your journey to data integrity. Investing in data integration solutions that can natively connect to both cloud and legacy sources is imperative.
The rise of the cloud data warehouse has brought with it promises of unlimited scalability, unrivaled user concurrency, zero administrative overhead, and improved data sharing across the organization. Delivering on these promises requires data pipelines to provide access to information around the business, including legacy systems such as mainframe and IBM i. As a result, investing in data integration software that can natively connect to both cloud and legacy sources is imperative.
Gone are the days of sole batch ETL (extract, transform, and load) with the help of a few skilled developers fulfilling data integration requirements. A new dynamic and fluid model of data integration has taken its place – bringing data from across a business to users when and how they need it. Much of the changed approach is driven by a broader diversity of cloud data consumption models, as well as a surge in the number and types of applications demanding real-time data delivery.
Discover 10 key features to help you choose a vendor that offers both software and an approach that can grow and change with your organization, with recommendations on:
- Designing once with a deploy anywhere approach
- Resiliency and backup
- Future proofing investments