Topic: Mainframe modernization
Learn how using an on-premise private cloud solution like HCP Cloud Scale with Model9 Cloud Data Manager for Mainframe can help manage mainframe data, improve backup and disaster recovery and lower your TCO.
5 reasons why ETL is the wrong approach to moving mainframe data and why ELT is the ideal method.
Using the right AWS stack, data engineers, scientists, and decision makers can now easily unlock mainframe data sets to support enterprise data analytics pipelines that power modern initiatives such as machine learning, AI, and business intelligence.
In the 2021 Arcati Yearbook, Model9 shares how our customers know they need to do more to leverage their vast store of mainframe data, despite feeling squeezed by the costs and limitations of traditional storage options.
Until now, mainframe data has been locked in by legacy storage hardware and proprietary formats, and ETL processes have been unaffordably compute-intensive, making change all but impossible. But there is now another way, a technology path that speeds data to its destination for rapid transformation to any standard format, with practically no impact on mainframe processing. Now, critical data can inform analytics, shaping business results, and opening opportunities.
Move, transform and integrate mainframe data easily & cost-effectively to the cloud.
Eliminate dependence on cumbersome and slow mainframe methods with Model9’s powerful cloud-based data transformation.
FICON has been the mainstay of mainframe data movement for decades, but it’s got competition. Learn why TCP/IP is now considered the fastest and safest way to move data off the mainframe to the cloud.
Whatever the end goal, moving mainframe data management to the cloud should be the first step in any effort to modernize the mainframe.