Watch full webinar here: https://buff.ly/2VYBioL Today’s cloud migration strategies need to account for increased complexity of data governance and hybrid and multi-cloud architectures while reducing the inherent risks of disrupting users and applications during the migration. The core benefits of data virtualization technology provide the data abstraction required for decoupling users and applications from activities such as data migration and consolidation, while adding the semantics and governance necessary in modern data environments. In this session, you will learn: *How data abstraction is critical to sustain users and applications during data migration *How data abstraction reduces complexity of hybrid cloud environments *How data abstraction accelerates cloud migrations to modern data platforms and data lakes *How data abstraction continuously optimizes data in the cloud

2. Accelerate Cloud Migrations and
Architecture Modernization with Data
Virtualization
John O'Brien
Principal Advisor and CEO , Radiant Advisors

3. Copyright 2019. Radiant Advisors All Rights Reserved.
THE ROLE OF DATA ABSTRACTION
3
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
The separation of physical data from its definition
that allows for and improves access
“Decoupling” data connectivity with virtual representations that can be
modified without costly data movement
Data and architecture management use cases:
▪ Cloud migration (hybrid and multi-cloud)
▪ System consolidation (M&A)
▪ Data silo consolidation and restructuring

4. Copyright 2019. Radiant Advisors All Rights Reserved.
MINIMIZE DISRUPTION OF CLOUD MIGRATION
4
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
Users accustomed to accessing virtual databases and catalogs are not
encumbered with cloud data migration
Performance tuning of replicated cloud databases is faster with data
virtualization as is testing existing reports and visualizations
Conversion of on-premises to cloud data types is handled by data
virtualization views and testing

5. Copyright 2019. Radiant Advisors All Rights Reserved.
SIMPLIFY HYBRID CLOUD ENVIRONMENTS
5
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
Cloud migrations by nature result in complex hybrid or multi-cloud
architectures
Having a single point of access or gateway for users centralizes security,
monitoring, and governance
Example: Virtual data lakes jumpstart user access to source data while
data lake ingestion and data engineering is established

6. Copyright 2019. Radiant Advisors All Rights Reserved.
ACCELERATE CLOUD MIGRATIONS
6
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
1. Set up data virtualization on-premises with security and redirect users from
databases to virtual databases
2. Migrate analytic databases to the cloud in phases and update data virtualization
with new cloud databases
3. Migrate data virtualization server to the cloud
4. Rearchitect for modern data architecture in the cloud (data lake, EDW, analytics,
data science)

7. Copyright 2019. Radiant Advisors All Rights Reserved.
CONTINUOUSLY EVOLVE DATA PLATFORMS
7
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
Begin initial “lift-and-shift” to the cloud, then evolve the data architecture with
consistent virtual access for users
Unify the Logical Modern Data Platform
▪ Enterprise Data Lake
▪ Enterprise Data Hubs
▪ Enterprise Self-Service and Analytic Sandboxes
▪ Enterprise Data Science APIs for Machine Learning
Software-defined data versus hardwired data apps

8. Copyright 2019. Radiant Advisors All Rights Reserved.
MODERN DATA UNIFICATION
8
Accelerate Cloud Migration and Architecture Modernization with Data Virtualization
Facilitate self-service users’ and data scientists’ needs
▪ Data Catalogs
▪ Data Governance
▪ Exploration and Crowdsourcing
▪ Collaboration and Deployment
Enterprise data platforms are increasing in complexity and require
technology that can continuously
adapt for all users’ needs

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