You can watch the replay for this Geek Sync webcast in the IDERA Resource Center: https://www.idera.com/resourcecentral/webcasts/geeksync/leveraging-cloud-migration Two critical, yet conflicting revelations about cloud computing are dominating the trajectory of many organizational information management systems decisions. The first is that there is no doubt that the benefits of the cloud influence the obvious decision to migrate data and applications. The second, however, is that despite the promises of lowered costs and simplified administration, the process of cloud migration is complex, making it difficult to realize the anticipated savings and reduction in administrative effort. When the IT practitioners at these organizations realize that cloud migration affords the opportunity to go beyond just lifting and shifting their on-premises databases and associated applications, what steps can be taken to truly modernize the environment? In this webinar, we suggest that instead of just lifting and shifting, organizations can take the opportunity to really understand the key business drivers of both today and tomorrow and use that to renovate and modernize their data management environment in the cloud. Attendees will learn about: -Benefits of the cloud -Challenges of cloud migration -Opportunities for process modernization -Using modeling to assess and understand the existing data landscape -Establishing good practices for future architectural approaches -Solidifying end-to-end data pipeline management to increase confidence in enterprise data consistency Speaker: David Loshin is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. David is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence.

1. Leveraging Cloud Migration for
System and Process Renovation
David Loshin
President, Knowledge Integrity, inc.
Director, Master of Information Management program,
University of Maryland

2. The Wisdom of Clouds…
• Cloud service providers are rapidly expanding a broad
palette of storage, computing, and other value-added
services
– (Presumably) reasonable economics
– Virtually unlimited storage and computing resources
– Provides elastic yet scalable high-performance computing
– Integration across a hybrid environment connecting on-
prem, multicloud, SaaS, PaaS, etc.
– Reduces reliance on large-scale capital acquisitions of DW
appliances
– Allows a variety of applications to automatically scale by
taking advantage of cloud computing resources
– Automatically provides fault-tolerance and business
continuity
– Lots of cloud-native value-added services

3. Driving Towards Cloud Migration
• Organizations increasingly considering cloud
migration as a key technical motivator for a
modernized environment
• Whether you need to
– Synchronize data across on-premises/cloud boundaries,
– Integrate data from SaaS/PaaS providers, or
– Ingest and process streaming data in real time

4. The Future: Hybrid Multicloud
Data
Warehouse
Data
Warehouse
On-Premises Data
Cloud Data Environment
Data Lake
Cloud Data Environment
Data Lake
Cloud Data Environment
Data Lake
Cloud Data Environment
Data Lake
• The drive for cloud modernization has driven project managers and their teams to migrate data and
processes out of the traditional on-premises data center
• This approach incorporates adoption of a variety of different hosted and cloud-based environments

5. Hybrid Data Architectures
• New cloud technologies
are evolving at a frantic
pace
• Data architecture
complexity is opaque to
data consumers
• Yet data consumers
demand rapid
development of data
pipelines to support
evolving data lifecycles
Data
Warehouse
Data
Warehouse
On-Premises Data
Cloud Data Environment
Data Lake
Cloud Data Environment
Data Lake
Data Consumers

6. Challenges of Migration
• Data onboarding and integration
• Data chaos vs. data intelligence
• Application development and deployment
• Data consumer enablement
• Information risk

7. Why Not “Lift & Shift”?
• Replicating footprint on the cloud is a
conservative approach that
– Limits the ability to assess gaps and
introduce improvements
– Reduces potential for extensibility
– May not accurately predict actual cost of
cloud services during migration phase
– May not accurately predict actual
operational costs post-migration
– Potential performance degradation due to
unexpected latencies
– Does not allow current and emerging
requirements to be considered

8. Cloud Modernization & Digital Transformation
• Contrast “migration” with “modernization”
• Moving processes to the cloud affords the opportunity to
rethink how the applications are aligned with the actual
business activities
– What technical constraints existed when the application was
originally configured that no longer exist?
– What capabilities did not exist that could improve the business
process?
– Can a broader array of data consumers be enabled using modernized
approaches?

9. Reducing Complexity
• Not all data practitioners are experts in data modeling
• Data awareness contributes to reducing complexity of the
cloud modernization process
• Employ data modeling techniques to raise data awareness:
– Business process modeling
– Data discovery
– Metadata management
– Data lineage
– Database structure

10. Data Awareness: Necessary Capabilities
• Simplified mechanisms for documenting and sharing business
process models
• Assessment and documentation of current state of existing data
models
• Data discovery and capture of structural, business, and object
metadata
• Simplified mapping and presentation of data lineage and
documentation of data pipelines
• Simulation capabilities to assess cloud performance and costs

11. Questions?
• Questions about cloud modernization
– Loshin@knowledge-integrity.com
• Considering a degree in information management?
– UMD MIM: https://ischool.umd.edu/academics/master-of-
information-management