Solving Downtime in the Cloud

Cloud computing is the most important information technology trend in decades. During this free webinar you will learn how ANSYS users can benefit from Microsoft's Azure HPC Cloud. Why ANSYS users should be looking at a cloud computing solution. How to setup and run ANSYS on the Microsoft's Azure Cloud. How Fluent, CFX and Mechanical Enterprise scale on Azure.

Join Phil Goodwin, IDC Analyst and Chris Paap, Sr. Solutions Marketing Manager at Nutanix, as they discuss new trends revealed in the latest IDC survey. Learn how organizations leverage hybrid clouds for their database strategies and how IT leaders and their organizations can realize improved performance, cost savings, and productivity.

Multicloud is not a new strategy for enterprises looking to maximize their use of the cloud, but we know it isn’t always easy to succeed in getting the results your organization requires.

What began as a trickle is now the mainstream: Organizations are moving to the cloud for data management. No longer is the cloud just a cheaper place to park data; it is key to supporting business-critical innovation in advanced analytics, data science, and AI as well as for end-user business intelligence, data exploration, and data visualization. Data lakes and data warehouses running on market-leading platforms such as AWS are growing fast, just as they are on the platforms of competing providers. However, as cloud-based workloads grow in number and size, organizations are facing difficult data preparation challenges. The flow of data raw, diverse, and frequently unstructured can quickly turn cloud data lakes into impenetrable swamps. Without good data preparation technologies and practices, users of all types are frustrated; their productivity and satisfaction suffer because it’s too hard to get accurate data that’s appropriately transformed and structured for their purposes.