The Definitive Guide to Data Warehouse Modernisation
Data Management Patterns for Next-Generation Analytics and AI.
Modern data management practices raise questions about the role of data warehousing. Though some have declared the data warehouse dead, many organisations operate at least one data warehouse and expect to do so for the foreseeable future. Data warehousing continues to be an important part of data management, but we need to modernise aging data warehouses to fit into modern data management practices and to deliver sustained value into the foreseeable future. Legacy data warehouses must evolve both architecturally and technologically to fit into modern analytics ecosystems.
This report provides guidance to sustain the value of data warehouses through architectural restructuring, cloud migration, and integration into a comprehensive and cohesive data management strategy.
Read More
By submitting this form you agree to Informatica contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Informatica web sites and communications are subject to their Privacy Notice.
By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@techpublishhub.com
Related Categories: Analytics, Artificial Intelligence, Big Data, Cloud, Cloud Applications, Cloud Computing, Cloud ERP, Cloud Platforms, Cloud Security, Cloud Storage, CRM, Data Analytics, Data Center, Data Centers, Databases, Digital transformation, Enterprise Cloud, ERP, Firewall, Hybrid Cloud, Infrastructure Management, Predictive Analytics, SaaS, SDDC, Server, Storage, Virtualization, Visual Analytics, VPN
More resources from Informatica
Redefining Modern Master Data Management in t...
Your organization needs to continuously innovate to stay competitive. And business insights are necessary to fuel all of your key digital transform...
Faster, Simpler, More Cost-Effective Cloud Da...
Your organization's ability to grow and transform depends on connecting data across your enterprise to generate insights. That imperative puts data...
A CDO’s Guide to Customer Intelligence
To say that the role of the Chief Data Officer (CDO) has evolved quickly is an understatement. Created less than a decade ago to realise risk manag...