Moving to a Cloud Data Warehouse on Amazon Redshift
The challenge for today's enterprises is to extract the most value from their data. To do so, companies are moving their analytics workloads to the cloud and modernizing their applications, with the goal of extracting that value with increased efficiency, productivity, and cost savings. Companies are moving to the cloud because their legacy on-premises systems are often burdened by inefficient processes and lack the agility to quickly deliver the time-sensitive data insights required to keep companies competitive. According to a recent survey, 85% of businesses want to be datadriven but only 37% have been successful.
As companies develop their cloud journey roadmaps, data integration becomes critical for business agility and data quality for business insights.
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, Applications, Big Data, Cloud, Cloud Computing, Collaboration, Connectivity, CRM, Data management, Data Synchronization, Data Warehousing, Databases, Digital transformation, Enterprise Cloud, ERP, Hybrid Cloud, Network, SaaS, Server, ServiceNow, Software, Storage
More resources from Informatica
Succeeding With Analytics in the Cloud
Enterprises today recognize that cloud is integral to their digital transformation. As organizations move to the cloud for agility, scalability, an...
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...
Moving to a Cloud Data Warehouse on Amazon Re...
The challenge for today's enterprises is to extract the most value from their data. To do so, companies are moving their analytics workloads to the...
