Data lake governance ensures your data lake contains clean, relevant data from structured and unstructured sources that can easily be found, accessed, managed, and protected. Watch the video and hear about the 4 steps to take to avoid data lake failure and deliver business-ready data. To learn more, visit

Learn more about Red Hat OpenShift on IBM Cloud:
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Red Hat OpenShift on IBM Cloud combines the management, reliability, and security-rich capabilities of IBM Cloud with the speed, productivity, and automated operations of the Red Hat OpenShift Kubernetes platform.

Check out this video with Sai Vennam from IBM Cloud as he explains how Red Hat OpenShift on IBM Cloud will enable you to build and deploy container-based applications with speed and scale on a fully managed, integrated, and reliable platform.

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Learn more about IBM Cloud Security Solutions:

Check out this lightboard video with Nataraj Nagaratnam from IBM Cloud as he maps out what cloud security is and explains how important it is for enterprises to incorporate it into their business operations.

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In this video, Eric Minick with IBM Cloud discusses application modernization and three transformations that are happening at the same time in architecture, infrastructure, and delivery. Click here to find out what's next for application modernization.

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Take a tour of the IBM Cloud console to learn how you can easily start building right away. Get your account set up, create resources from the IBM Cloud catalog, then manage them from your resource list. Visit the Support page to get help with any issues you might run into. The IBM Cloud documentation is also a helpful resource for walking you through common tasks.

In this lightboarding video, Amy Blea gives an overview of two types of traditional cloud storage: block storage and file storage.

What are the advantages of each? How are the two types of storage set up? Which type of storage should you use if you need low latency, high scalability, or the ability to share data with multiple users?

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Smart document understanding (SDU) allows you to train IBM Watson Discovery to interpret structural elements of complex and diverse documents, including document fields like footers and headlines as well as tables and text. Visually annotate a sampling of your documents and instantly visualize how the machine learning model will interpret your text, updating your model in real time to achieve the desired results. Use this feature across roles and use cases to reduce the time experts spend reviewing and analyzing complex documents without compromising accuracy or increasing risks. Smart document understanding in IBM Watson Discovery helps you rapidly extract new insights in context for deeper understanding, cleaner answers, and confident recommendations. 

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Although virtualization is a well-established technology, it is still a critical part of your modern cloud computing plan. Kaleigh Bovey is going to walk you through an overview of how virtualization works and detail how it is still an integral aspect of your cloud strategy.

From hypervisors to cloud strategy benefits, she's got you covered on all things virtualization.

Learn more about IBM Cloud for VMware Solutions:

Find out how to modernize and migrate your VM workloads:

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