Thinking about data management architecture early is key to success in deploying hybrid analytics. You need to address the key data management challenges without slowing down the analytics project - which is the whole point of cloud deployments.
“Cloud First” is now a reality for most companies. Instead of building new data centers, CIOs are asking if they can use a public cloud provider like Amazon Web Services or Microsoft Azure. Instead of deploying on-premise applications, their initial choice is a SaaS provider like Salesforce.com. The advantages of Cloud – agility, cost, scalability... more
Informatica believes there is a better way to do data integration and so we developed the Integration Hub as the next generation way to modernize your data infrastructure. With a flexible combination of centralization and self-service for distributed teams, Informatica Data Integration Hub’s publish/subscribe hub architecture powers your data projects to a new level of... more
Data hubs are gaining significant momentum as companies look for ways to boost productivity and governance of data integration. Organizations want to reduce duplication, overlapping data movements and transformations. They want to be able to deliver the same, fresh processed data to multiple applications and analytics systems on-premises and the cloud to ensure all teams... more
Companies across the globe are embarking on data modernization projects to better leverage their data to generate new business value, such as better understanding their customers or to create new data products. Updating analytics systems and enterprise applications to leverage new technologies, such as the cloud and big data for these new projects can be... more
What is it about us human beings? We have two beautiful breeds: a Poodle and a Labrador. Then, somebody feels the need to create a Labradoodle? (Though they are pretty cute!). Or we invent an electric car, but cannot let go of our reliance on the infrastructure, so we then invent a hybrid car. With... more