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3 min read

Free cloud data services training roundup

 To help you stay up to date on online training opportunities, we’re releasing a monthly list of the latest free data and artificial intelligence (AI) trainings in one convenient post.

SQL Server and Windows Server 2008 end of support

End of support is coming for two commonly deployed server products, Windows Server 2008 and SQL Server 2008, which means the end of regular security updates. Don’t let your infrastructure and applications go unprotected. We’re here to help you migrate to current versions for greater security, performance, and innovation. Learn more about end of service support options to carry your organization into the future.

Transform your business with a modern data estate

End of support is coming soon for SQL Server and Windows Server 2008/R2, which means the end of security updates for these versions. Learn what your options are for replacing these installations by joining this training. You’ll hear Microsoft and Lenovo experts discuss using a modern data estate to help improve security, performance, and analytics, and learn new ways to reduce your total cost of ownership (TCO).

Transform Windows Server 2008 apps and infrastructure

End of support for Windows Server 2008 and 2008 R2 is quickly approaching, which means the end of security updates for these versions. Are you prepared? Join us as Microsoft experts share migration tips and tricks, the latest news for Windows Server 2019, and how to choose the right path for your custom and packaged apps.

Independent software vendors:  Prepare your app customers for upcoming end of support

If your customers are still running your apps on 2008/2008 R2 versions of Windows Server and Microsoft SQL Server, you’ll want to prepare them for the rapidly approaching end of support. Register for this training that’s designed specifically for independent software venders (ISVs) and software as a service (SaaS) providers. In it, you’ll learn about easily certifying your apps for Windows Server 2016 and 2019, how to compete more effectively by moving your apps to Azure, and you’ll receive resources to rewrite apps as cloud-native SaaS offerings.

Data modernization

Take advantage of the enterprise-level performance, availability, and security of the latest database technologies.

Three ways to gain insights with SQL Server 2019 big data clusters

Organizations are finding it harder than ever to integrate data and synthesize key business insights. Register for this training with a live Q and A to discover three crucial ways that SQL Server 2019 big data clusters can help you gain business insights including how to integrate multiple data sources quickly and easily without moving and replicating data and how to use artificial intelligence and machine learning to build intelligent applications that leverage all of your data.

Big data and analytics

Deliver better experiences and make better decisions by analyzing massive amounts of data in real-time. Get the insight you need to deliver intelligent actions that improve customer engagement, increase revenue, and lower costs.

Learn more about big data and analytics

How Kelly Services modernized data warehouse to Cloud

Want to learn how to improve your analytics workloads while decreasing costs and reducing risk? This on-demand training covers how to do just that using cloud data warehouses. You’ll get an in-depth look at how staffing company Kelly Services partnered with Informatica to move from legacy on-premises appliances to Azure. You’ll also learn the actual costs of a cloud data warehouse deployment, benefits and considerations of cloud data warehousing, and how Informatica tools can simplify your migration to Azure SQL Data Warehouse.

Security and privacy for the cloud data warehouse

In this training, you will learn about the increasing security and privacy challenges in the database industry. Find out how security and privacy have become strategic drivers that influence the choice of enterprise platforms and the structure of teams. Plus, we’ll explore some critical elements of new enterprise and data warehouse technologies.