Name: A Modern Approach to Managing MF Data on Private Clouds
Start: 2021-11-23T18:00:00Z
End: 2021-11-23T18:00:40.000Z
Location: BrightTALK
Rating: 0

Connecting core legacy systems to the cloud to generate business value for enterprises

Join Model9 & Cohesity for a conversation about mainframe cyber resiliency. 

In this discussion, you’ll learn about the vulnerabilities inherent to legacy infrastructure, and the modernization strategies you can use to eliminate them to improve your cyber resiliency.

-Hear from industry leaders as they discuss cyber resiliency best practices such as:
-How to create secure recovery points using techniques like preserving a third copy offsite and creating an air-gapped and/or immutable copy to prevent corruption of your backup data
-Use Cohesity's centralized anti-ransomware capabilities to complement Model9's support for DR and lifecycle management in the cloud
-Understand how Model9 and Cohesity partner to provide robust cyber resiliency either on-premises or in the cloud

How to build a cloud-mainframe cyber resiliency solution

Join industry experts for a conversation to discuss:

-The concept of ‘data-gravity’ and how it accelerates mainframe modernization timelines
-The benefits of cloud when it comes to mainframe data management
-How new technologies make it easy to transform mainframe data into open formats
-Why building data lakes that include mainframe data integrated with modern BI/ML cloud applications gives you an edge over the competition in a cloud-first world
-And more!

Mainframe modernization starts with a cloud data management strategy

Data movement doesn't have to rely on or emulate tape. This webinar will show how it's possible to generate multiple streams of data from a source and push data over IBM Open Systems Adapter (OSA) cards using TCP/IP in an efficient and secure manner to or from an object storage device, either on-premises or in the cloud. Watch now.

Who says TCP/IP is slow?

Join Model9 and AWS experts as they show you how to take an innovative, 'data-first' approach that moves mainframe-formatted data to the cloud, and transforms it into open formats for use with cloud analytics applications without refactoring applications or JCL changes.

A Data-first Approach to Mainframe Migration AWS & Model9

During this insightful discussion, you will learn how Nedbank implemented cloud backup and DR directly from their mainframe to the Azure cloud without changing its applications and without any risks.

Webinar attendees will:
1. Understand how Model9’s software-only approach connected the bank’s mainframe to the Azure cloud without making any application changes
2. See how Model9 moved mainframe data over to the cloud quickly and easily for risk-free cloud data management
3. Learn how the bank improved TCO and performance with increased throughputs and reduced elapsed time, eliminating legacy storage HW and management SW

Watch now!

How Nedbank Connected Their Mainframe to the Cloud with Model9 & Microsoft Azure

In this webinar, you’ll learn from Model9 & Hitachi experts: 
 
1. The attributes of a private cloud 
2. How to move backup and recovery to object storage 
3. How to transform mainframe data off the mainframe for use in analytics

A Modern Approach to Managing MF Data on Private Clouds

Mainframe

On Premise

IT Infrastructure

Enterprise Architecture

Data Management

Data Backup

Data Storage

Digital Transformation

Cloud Adoption

Data Migration

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Business Continuity / Disaster Recovery

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Big Data and Data Management

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A Modern Approach to Managing MF Data on Private Clouds

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