Multi-Cloud Data Integration with Data Virtualization (APAC)

Sep 23, 20200 likes116 views

Watch full webinar here: https://bit.ly/3cnw5MW More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging. The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!). In this on-demand session, you will learn about: - The challenges facing organizations as they adopt multi-cloud data strategies - How the Denodo Platform provides a managed data access layer across the organization - The different multi-location architectures that can maximize local control over data while still making it readily available - How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer

DATA VIRTUALIZATION
APAC WEBINAR SERIES
Sessions Covering Key Data
Integration Challenges Solved
with Data Virtualization

Multi-Cloud Integration with Data Virtualization
Katrina Briedis
APAC Sales Engineering, Denodo
Sushant Kumar
Product Marketing Manager, Denodo

Agenda
1. Challenges of Modern Data Management
2. Multi-Cloud Challenges
3. Denodo’s Multi-Location Architecture
4. Product Demo
5. Q&A
6. Next Steps

4
Required expansion of Analytics
by growing consumers of data
Need for Agile
Self-Service BI
Big Data
volumes
continue to
grow
Security and
Data Privacy
implications
becoming core
to data
strategy
Reduce or
eliminate Data
Latency
Providing data access irrespective
of Storage Location
Increasing use
of third-party
data for
Information
Agility
Growth in
Hybrid &
Multi–Cloud
Deployments
Convergence
of Application
and Data
Integration
Challenges of Modern Data Management

5
Modern Data Architecture
Data Virtualization

7
IDC FutureScape: Worldwide Cloud 2018 Predictions
By 2020, over 90% of enterprises will use
Multiple Cloud Services and Platforms.

8
• Flexibility
• Cost optimization
• Avoid vendor lock-in
• Regulatory compliance
• Geographical flexibility
Benefits of Multi-Cloud Strategy

9
Challenges of Multi-Cloud Strategy
• Complexity
• Duplication
• Increased costs
• Multiple security models
• Skill sets required
• Integration

10
Multi-Location Architecture
• Denodo instances connected to each other
• Moving processing to data location
• Security and control localized
• Different countries, jurisdictions, etc.
• Global access without replicating data
• Denodo instances connected
• Denodo Solution Manager automates sharing
of metadata

11
Delegating queries to instances in remote locations:
Asia
Data Center
(Hong Kong)
North America
Data Center
(New York)
Local
Sources
Multi-Location Architecture – Example

12
Multi-Location Architecture – Example
Asia
Data Center
(Hong Kong)
North America
Data Center
(New York)
Local
Sources
Client
Delegating queries to instances in remote locations:

13
Multi-Cloud Integration with Data Virtualization
Amazon RDS,
AuroraUS East
AvailabilityZone
EMEA
Availability ZoneOn-prem
data center

14
Multi-Cloud Integration with Data Virtualization

15
“Adopt the Logical Data Warehouse Architecture to Meet Your Modern Analytical Needs”.
Henry Cook, Gartner April 2018
DATA VIRTUALIZATION
On-prem
data center

Product Demonstration
APAC Sales Engineering, Denodo
Katrina Briedis

17
Demo Scenario
Tim
Mary
Jane
Manager
(South Region)
Manager
(North Region)
Data Analyst
(Corporate)
• Access to Southern Region Employee data
• Unnecessary data hidden or masked
• e.g. monthly salary, bonus rate, DOB
& email address
• No access to Northern Region data at all
• Access to Northern Region Staff data
• Unnecessary data hidden or masked
• e.g. monthly salary, bonus rate, DOB &
email address
• No access to Southern Region data at all
• Access to all de-identified employee data
• PII data hidden
• Access to data in all locations (North & South)

18
Tim
Mary
Jane
Corporate HQ
DATA VIRTUALIZATION
Multi-Location Data Access

South - Oracle North - SnowflakeDifferences in tables
Different Table
Names
Different Field
Names
Different values
/ reference

North - SnowflakeSouth - Oracle Standarardised views
Same Naming
Convention
Same Field
Names
Standardised
Values

Multi-Cloud Data Integration with Data Virtualization (APAC)

Next session
Bridging the Last Mile: Getting Data to the People
Who Need It
Chris Day
Director, APAC Sales Engineering, Denodo
Sushant Kumar
Product Marketing Manager, Denodo

Thanks!
www.denodo.com info@denodo.com
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Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm,
without prior the written authorization from Denodo Technologies.

Watch full webinar here: https://buff.ly/2YhiPos "By 2020, over 90% of Enterprises Will Use Multiple Cloud Services and Platforms" - IDC FutureScape: Worldwide Cloud 2018 Predictions More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging. Data virtualization provides a data discovery and access layer that allows data users across the organization access the data that they need for their work - irrespective of whether the data is in a data center or in the cloud - any cloud! The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!). In this webinar, you will learn about: *The challenges facing organizations as they adopt multi-cloud data strategies *How the Denodo Platform provides a managed data access layer across the organization *The different multi-location architectures that can maximize local control over data while still making it readily available *How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer

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Data Virtualization enabled Data Fabric: Operationalize the Data Lake (APAC)Denodo

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CIT modernized its data architecture in response to intense regulatory scrutiny. In this presentation, they present how data virtualization is being used to drive standardization, enable cross-company data integration, and serve as a common provisioning point from which to access all authoritative sources of data. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/CCqUeT.

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Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...Denodo

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Watch full webinar here: https://buff.ly/2XXbNB7 What started to evolve as the most agile and real-time enterprise data fabric, Data Virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn: *What data virtualization really is *How it differs from other enterprise data integration technologies *Why data virtualization is finding enterprise wide deployment inside some of the largest organizations

Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...Denodo

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Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo

Watch full webinar here: https://bit.ly/3corOL4 More and more organizations are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a highly distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging. The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA). In this on-demand webinar, you will learn about: - The challenges facing organizations as they adopt multi-cloud data strategies - How the Denodo Platform provides a managed data access layer across the organization - The different multi-location architectures that can maximize local control over data while still making it readily available - How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer

Modernizing Integration with Data VirtualizationDenodo

Watch full webinar here: https://bit.ly/3CMqS0E Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on. Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies. As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.” Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how: - Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication. - Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale. - How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data - Data Mesh and Data Fabric architecture patterns for maximum reuse - Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges - Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities

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