As data grows and customers demand real-time experiences, a strong data foundation is essential. Ever faster and larger data streams, global business needs, and tech-savvy users are all putting the pressure on IT teams to move more quickly and with more agility. Even with these changes, it’s still often legacy data warehouses trying to keep up with new demands. And those legacy data warehouses aren’t cutting it anymore. These systems are underprepared for new demands.

When we talk to people working in data today, we hear a lot about the constraints that come with operating legacy technology while trying to build a modern data strategy.

In this guide, we’ll lay out what you need to consider to deploy a modern cloud data warehouse:

• Separated storage and compute
• Systems built to handle massive scale
• Data governance capabilities and security built-in
• Advanced analytics like AI and ML built-in
• Real-time streaming analytics that are easy to use