The unprecedented volume, velocity and variety of the data being produced today will continue to grow exponentially with time. You don’t know what’s to come, so don’t get locked into the decisions you make now. Cloud data lakes can ensure your data is there for you – when and how you’ll need it.
With the right planning, design and governance, cloud data lakes can process data in any format at petabyte scale. We’ll help you imagine the possibilities, identify use cases and speed your time to value with reference architectures and accelerators. And with our expertise and experience, we can get you to a minimum viable product (MVP) state in weeks rather than months.Download Now
Maximize the value of even your most complicated data
- Get the most out of even your most organizationally complicated data such as audio, video, images and metadata
- Derive insights that matter with the right data management and analytics technologies.
- Capture all of your raw data – structured, semi-structured or unstructured – so you can process it when you need it
Accelerate meaningful insights on high-volume and high-velocity data
- Derive real-time insights that matter
- Actively monitor customer engagement and interaction
- React quickly to fraud alerts and security threats
Harness the power of advanced predictive analytics and artificial intelligence
- Discover a rich ecosystem of tools and access libraries of predictive analytics
- Make automated recommendations
- Take preemptive action
- Streamline decision making
Solve: Insights for your path forward
4 Strategies to Avoid the Data Swamp
Organizations are increasingly eager to monetize their mountains of data. There are many ways to make that happen.
"In our data lake, we now have around 10.2TB of data powering five to six machine learning use cases on the cloud. This generates over 450,000 predictions per day — each of which is generated in just 1.1125 milliseconds. These machine learning models will help automate more processes to drive greater efficiencies that help us optimize performance and cost."See the Case Study
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