Webinar SAS Academy for Clinical Programming

A great comfort with cloud deployment has emerged. Businesses are migrating databases to the cloud or building databases there as a result of scale challenges with the on-premises model, the cloud becoming the “center of gravity”, on-premises databases reaching capacity or emerging uses cases that are specific to the cloud. But not all organizations! And some struggle mightily with the move!Learn about the factors that impact organizations when shifting data and applications to the cloud. What must you consider as you move significant applications and data to the cloud? This webinar will cover the major decision points that management needs to consider when moving to the cloud. These include changes to the software model, development and quality assurance, recovery outage, and disaster recovery as well as new concerns about query performance and service levels, data interchange in the cloud, safe harbor and cross-border restrictions, and security and privacy.

Gain control over your Office 365 data! Within all SaaS platforms including Office 365, it is your organization’s data — you control it — and it is your responsibility to protect it. Veeam® Backup for Microsoft Office 365 eliminates the risk of losing access and control over your Office 365 data at scale, including Exchange Onli

If there is anything that current events prove, it’s that analytics based on the quick delivery of up-to-date, trustworthy data is critical. But getting the right insight precisely when you need it demands more than a pretty visualization.

Business users have a tremendous appetite for data. The “single version of the truth” was a rallying cry to deliver business data in data warehouses for years. Users were able to digest and analyze large volumes of corporate data. They reviewed trends, identified anomalies, and supported decision-making because they had the detailed data to support action. As the business/data environment matured, the need for more diverse detail and increased delivery speed only grew. The data lake became a successful mechanism for delivering data from diverse systems in a timely manner.