Tools and Best Practices For Cloud and On-Premise Data Integration
sponsored by Progress

Though data integration tools have come a long way in terms of capabilities and performance, many of the data integration projects in today's organizations are still being done through manual coding methods -- methods that are inefficient and undocumented. So why is this? For one, there are many misconceptions about what data integration can actually do.

Access this expert e-guide to reveal the truth behind common misconceptions about data integration and learn best practices for leveraging cloud and on-premise data integration tools. Also, discover three key ways to reconcile cloud data integration with on-premise data:

  • Repository approach
  • Toolkit approach
  • Process-based approach

View now to tackle the problems of integrating data held on-premises with data hosted natively in the cloud head-on.

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