Today’s circuitous path of exporting mainframe data and importing it into Hadoop isn’t just complicated, but it’s a huge hassle that has extreme time and cost implications. These have discouraged organizations from using mainframe data for Big Data and other analytic purposes. Mainframes power many mission-critical applications throughout the enterprise – collecting, generating and processing some of the largest data volumes with exceptional performance and reliability.
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.