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Listen "Mainframe to Cloud Data Integration: Load your Data Lakes and Data Warehouses Directly from the Mainframe."
Episode Synopsis
In this podcast, we explore effective strategies for integrating mainframe data with cloud environments. Learn how to leverage the flexibility and scalability of cloud solutions while maintaining the security and reliability of your mainframe systems.
Cost Efficiency
Save significantly on integration costs by leveraging no-code software and eliminating the need for expensive ETL tools.
Seamless Integration
Instantly integrate with cloud platforms like Snowflake, Google BigQuery, and Azure Synapse Analytics using a no-code solution, reducing time-to-market and development efforts.
Scalability and Flexibility
Easily scale data storage and processing capabilities to meet evolving business demands without the need for additional physical hardware.
Enhanced Data Security
Maintain data security and compliance by integrating existing mainframe security protocols with cloud-native solutions across multiple platforms.
Cost Efficiency
Save significantly on integration costs by leveraging no-code software and eliminating the need for expensive ETL tools.
Seamless Integration
Instantly integrate with cloud platforms like Snowflake, Google BigQuery, and Azure Synapse Analytics using a no-code solution, reducing time-to-market and development efforts.
Scalability and Flexibility
Easily scale data storage and processing capabilities to meet evolving business demands without the need for additional physical hardware.
Enhanced Data Security
Maintain data security and compliance by integrating existing mainframe security protocols with cloud-native solutions across multiple platforms.
More episodes of the podcast Skyward Data
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21/10/2025
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