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Organizations looking to make better use of data-intensive applications in hybrid cloud environments need to address a range of issues, including:
- Integrating data from a series of disparate, siloed sources
- Preparing complex data for use in analytics or machine learning use cases
- Deploying applications quickly while eliminating downtime
- And much more
Read this Red Hat white paper to learn how data-intensive intelligent applications can be optimized across their life cycle, with customizable components and features.