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Mainframe Access and Integration

Access and integrate mainframe data with Hadoop and Connect for Big Data

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Ingest, translate, process and distribute mainframe data with Hadoop

 

Mainframes power many mission-critical applications throughout the enterprise – collecting, generating and processing some of the largest data volumes with exceptional performance and reliability. You know you can’t leave this data out of your Big Data strategy, but leveraging mainframe data with Hadoop has been very difficult – or even impossible – until now!

Connect for Big Data dramatically simplifies and secures the process of mainframe access and integration with Hadoop MapReduce and Apache Spark.

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Solution Sheet

Syncsort Mainframe Data Access & Integration Solution

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Solution Sheet

Connect for Big Data

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eBook

How to Build a Modern Data Architecture with Legacy Data

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Read our eBook

Mainframe Data for Modern Data Environments: Best Practices for Bridging the Gap

This eBook will guide you through the process of overcoming the four biggest challenges of leveraging mainframe data, and explain how to offload costly batch workloads from the mainframe onto today's Big Data technologies. You will also learn useful tips and best practices on bridging the gap between Big Iron and Big Data and achieving massive data scalability with Hadoop.

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