SlideShare a Scribd company logo
Mastering Cloud Data Cost Control:
A FinOps Approach
Felix Liao
Director of Product Management APAC
2
Good News - Cloud Benefits
Learn Cloud Economics - Value of Cloud - Cloud ROI Framework – AWS (https://aws.amazon.com/economics/)
3
Bad News – Managing Cloud Spend
4
Managing Cloud Data and Analytics
Workload Costs is HARD!
5
FinOps is a cultural practice. It’s
the way for teams to manage their
cloud costs, where everyone takes
ownership of their cloud usage
supported by a central best-practices
group
What is FinOps?
FinOps Foundation Technical Advisory Council
https://www.finops.org/introduction/what-is-finops/
“ Good idea.
But How?
6
Why Denodo? - Embrace a distributed data landscape
Embrace a distributed data landscape
Embrace the fact that data resides in multiple locations or systems – on-
prem, hybrid, multi-cloud. All data needs to be managed with consistency
Use a logical approach to manage it
Consumers access data through a centralized semantic model,
decoupled from data location and physical schemas, that can enforce
security and governance requirements
6
Adopt AI to simplify and automate
Learn from usage and leverage Large Language Models to automate
tedious repetitive tasks
7
3rd Party
Connectors
Data Science / Prep Tools
Why Denodo? – Extensive Technology Ecosystem Support
MDM & DQ Tools
Data Governance Tools
Cloud Service
Providers
Big Data/NoSQL Sources
HDInsight
BI & Reporting Tools
Data Modeling Tools
Security & Privacy
Traditional Data Sources
SaaS/Cloud Applications
Cloud Data Warehouses
API Management / ESB
8
Why Denodo - FinOps support via a Logical Data Fabric Layer
Implementing a FinOps
program for data and
analytics requires data
that is best collected
from the logical data
fabric layer.
9
Data Virtualization: The Foundation of a Logical Data Management
Architecture
Agile Data
Integration
Logical Data Abstraction
Smart Query
Acceleration
Advanced
Semantics
Automation &
Recommendation
Unified Security & Governance
Data Catalog
AI/ML
Hybrid/Multi-Cloud
Data Integration
Self-Service BI
Data Governance
3600 View of
Entities
FinOps
Data Science
Enterprise
Data Services
Data Fabric/Data
Mesh
6 Key Capabilities of Logical Data Management Differentiated Use Cases
10
Inform: Logging and tracking queries and data transfers
Denodo
Platform
Warehouse
Mobile Apps
Operational
RDBMS
Data Source Traffic
• Cloud provider and region
• SQL statements
• Execution time
• Results row transferred
• Results size transferred
Marketing
Data Science
Notebooks
On-prem
tools
.
BI Tools
Operations
Data Science
Notebooks
On-prem
tools
.
BI Tools
Data Source Compute
• Database type and
technology
• SQL statements
• Execution time
• Estimated table scanned at
source
End user Query Traffic
• User name/ID
• Cloud provider and regions
• SQL statements
• Execution time
• Total rows count
• Total result transfer size
11
Inform: Easy Integration with third party dashboarding Tool
12
Inform: Denodo Dashboards
13
14
15
16
17
• Denodo Platform can orchestrate and optimize the user
queries in multiple ways to reduce cloud cost
• The Denodo Query Optimizer was built from day one to
minimize compute and traffic and supports a wide variety
of optimization query control techniques
• Push Down Optimizations
• Intelligent Caching/Replication
• Smart Query Acceleration
• Query scope control
• All with minimum disruption to the end users!
Optimize & Operate: The Logical Layer to the Rescue
18
• Intelligent Caching/Replication
• Use cache or alternative/cheaper compute technology
• Smart Query Acceleration
• Leverage pre-cached summary table
• Limit execution time or size of the result set
• E.g. Force query re-write to limit results time horizon
Optimize: Reduce Data Source and Table Scan Costs
19
• Intelligent Query push-down
• Automated joins push-downs
• Intelligent Caching/Replication
• Use cache or alternative/cheaper compute
technology
• Smart Query Acceleration
• Leverage pre-cached summary table
Optimize and Operate: Reduce Cloud Egress Charges
20
Why Denodo - Proven in Large Enterprise Scale Deployments
✓ 2,000+ APIs in production
using over 300+ data
sources
✓ 2+ Million queries/day
✓ 7 years in Production –
0 Downtime
✓ Deliver data 90% faster
E N T E R P R I S E –
A L L B U S I N E S S L I N E S
200k users (int. & ext.)
✓ 20k+ views / 1k+
sources / 1.5K+ services
✓ Logical data fabric for
enterprise governance &
security / 10 years in
✓ 1/6th time to build
compared to ETL
✓ Data services run 2X –
10X faster
N U C L E A R W E A P O N S
C O M P L E X
10 sites / 200k users
✓ 34K views – Inventory of
all data assets 100+
sources
✓ Single access layer
✓ 1K+ APIs in production
using over
✓ 6 years in Prod - 100%
ROI in first 2 years
✓ $1MM+ savings / year
E N T E R P R I S E – A N A LY T I C S
& R E P O R T I N G
50k users
✓ 2K+ Views - eliminated
1k+ point to point
connections
✓ 98% faster processing
- 1 day vs. 60 days
✓ 2 years in Production
✓ $40MM savings –
eliminating physical data
replication & storage
E N T E R P R I S E – S C A L E
D E P L O Y M E N T
21
• Multi-cloud/Hybrid cloud and increasingly complex data landscape
is increasing the complexity of FinOps implementations
• A logical data fabric layer can simplify and accelerate the
implementation of FinOps initiative and strategies
• Start with a solid foundation that improve visibility in a robust and
scalable way!
Key Take Aways
22
Next Steps
Access Denodo Platform in the Cloud!
Take a Test Drive today!
www.denodo.com/TestDrive
GET STARTED TODAY
Q&A
Thanks!
www.denodo.com info@denodo.co
m
© Copyright Denodo Technologies. All rights reserved
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.

More Related Content

Similar to Mastering Cloud Data Cost Control: A FinOps Approach

Data Orchestration for the Hybrid Cloud Era
Data Orchestration for the Hybrid Cloud EraData Orchestration for the Hybrid Cloud Era
Data Orchestration for the Hybrid Cloud Era
Alluxio, Inc.
 
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
Precisely
 
Workload Centric Scale-Out Storage for Next Generation Datacenter
Workload Centric Scale-Out Storage for Next Generation DatacenterWorkload Centric Scale-Out Storage for Next Generation Datacenter
Workload Centric Scale-Out Storage for Next Generation Datacenter
Cloudian
 
EMC EC Overview
EMC EC OverviewEMC EC Overview
EMC EC Overview
solarisyougood
 
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Denodo
 
A Successful Journey to the Cloud with Data Virtualization
A Successful Journey to the Cloud with Data VirtualizationA Successful Journey to the Cloud with Data Virtualization
A Successful Journey to the Cloud with Data Virtualization
Denodo
 
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your MindDeliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Avere Systems
 
How the Development Bank of Singapore solves on-prem compute capacity challen...
How the Development Bank of Singapore solves on-prem compute capacity challen...How the Development Bank of Singapore solves on-prem compute capacity challen...
How the Development Bank of Singapore solves on-prem compute capacity challen...
Alluxio, Inc.
 
Enabling big data & AI workloads on the object store at DBS
Enabling big data & AI workloads on the object store at DBS Enabling big data & AI workloads on the object store at DBS
Enabling big data & AI workloads on the object store at DBS
Alluxio, Inc.
 
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogicWebinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
SnapLogic
 
Transforms Document Management at Scale with Distributed Database Solution wi...
Transforms Document Management at Scale with Distributed Database Solution wi...Transforms Document Management at Scale with Distributed Database Solution wi...
Transforms Document Management at Scale with Distributed Database Solution wi...
DataStax Academy
 
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
DATAVERSITY
 
Accelerate Migration to the Cloud using Data Virtualization (APAC)
Accelerate Migration to the Cloud using Data Virtualization (APAC)Accelerate Migration to the Cloud using Data Virtualization (APAC)
Accelerate Migration to the Cloud using Data Virtualization (APAC)
Denodo
 
MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -
MapR Technologies
 
IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015
Doug O'Flaherty
 
2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics
DATAVERSITY
 
Accelerate Analytics and ML in the Hybrid Cloud Era
Accelerate Analytics and ML in the Hybrid Cloud EraAccelerate Analytics and ML in the Hybrid Cloud Era
Accelerate Analytics and ML in the Hybrid Cloud Era
Alluxio, Inc.
 
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
OVHcloud
 
Solving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute finalSolving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute final
Avere Systems
 
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCOCloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
Storage Switzerland
 

Similar to Mastering Cloud Data Cost Control: A FinOps Approach (20)

Data Orchestration for the Hybrid Cloud Era
Data Orchestration for the Hybrid Cloud EraData Orchestration for the Hybrid Cloud Era
Data Orchestration for the Hybrid Cloud Era
 
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
Using Mainframe Data in the Cloud: Design Once, Deploy Anywhere in a Hybrid W...
 
Workload Centric Scale-Out Storage for Next Generation Datacenter
Workload Centric Scale-Out Storage for Next Generation DatacenterWorkload Centric Scale-Out Storage for Next Generation Datacenter
Workload Centric Scale-Out Storage for Next Generation Datacenter
 
EMC EC Overview
EMC EC OverviewEMC EC Overview
EMC EC Overview
 
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...
 
A Successful Journey to the Cloud with Data Virtualization
A Successful Journey to the Cloud with Data VirtualizationA Successful Journey to the Cloud with Data Virtualization
A Successful Journey to the Cloud with Data Virtualization
 
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your MindDeliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your Mind
 
How the Development Bank of Singapore solves on-prem compute capacity challen...
How the Development Bank of Singapore solves on-prem compute capacity challen...How the Development Bank of Singapore solves on-prem compute capacity challen...
How the Development Bank of Singapore solves on-prem compute capacity challen...
 
Enabling big data & AI workloads on the object store at DBS
Enabling big data & AI workloads on the object store at DBS Enabling big data & AI workloads on the object store at DBS
Enabling big data & AI workloads on the object store at DBS
 
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogicWebinar: Improve Splunk Analytics and Automate Processes with SnapLogic
Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
 
Transforms Document Management at Scale with Distributed Database Solution wi...
Transforms Document Management at Scale with Distributed Database Solution wi...Transforms Document Management at Scale with Distributed Database Solution wi...
Transforms Document Management at Scale with Distributed Database Solution wi...
 
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
 
Accelerate Migration to the Cloud using Data Virtualization (APAC)
Accelerate Migration to the Cloud using Data Virtualization (APAC)Accelerate Migration to the Cloud using Data Virtualization (APAC)
Accelerate Migration to the Cloud using Data Virtualization (APAC)
 
MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -MapR on Azure: Getting Value from Big Data in the Cloud -
MapR on Azure: Getting Value from Big Data in the Cloud -
 
IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015IBM Spectrum Scale Overview november 2015
IBM Spectrum Scale Overview november 2015
 
2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics
 
Accelerate Analytics and ML in the Hybrid Cloud Era
Accelerate Analytics and ML in the Hybrid Cloud EraAccelerate Analytics and ML in the Hybrid Cloud Era
Accelerate Analytics and ML in the Hybrid Cloud Era
 
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...
 
Solving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute finalSolving enterprise challenges through scale out storage & big compute final
Solving enterprise challenges through scale out storage & big compute final
 
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCOCloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
Cloudian Webinar - 7 Key Reasons why Object Storage lowers Storage TCO
 

More from Denodo

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Denodo
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
Denodo
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
Denodo
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
Denodo
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Denodo
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
Denodo
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
Denodo
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Denodo
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
Denodo
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
Denodo
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Denodo
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Denodo
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
Denodo
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Denodo
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
Denodo
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
Denodo
 

More from Denodo (20)

Enterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in DenodoEnterprise Monitoring and Auditing in Denodo
Enterprise Monitoring and Auditing in Denodo
 
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachLunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
 
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services LayerAchieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
 
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
 
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business LandscapeMastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
 
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
 
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
 
Drive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory ComplianceDrive Data Privacy Regulatory Compliance
Drive Data Privacy Regulatory Compliance
 
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данныхЗнакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
 
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationData Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
 
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
 
Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!Lunch and Learn ANZ: Key Takeaways for 2023!
Lunch and Learn ANZ: Key Takeaways for 2023!
 
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardIt’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
 
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
 
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
 
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
 
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsWebinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
 
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usabilityEnabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
 
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
 
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidadesGenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
 

Recently uploaded

Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
a9qfiubqu
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
wyddcwye1
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
slg6lamcq
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
hyfjgavov
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
Timothy Spann
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
exukyp
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCAModule 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
yuvarajkumar334
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
z6osjkqvd
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
taqyea
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
Timothy Spann
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
mkkikqvo
 
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
AlessioFois2
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
VyNguyen709676
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
Lars Albertsson
 

Recently uploaded (20)

Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCAModule 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
 
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
 
End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024End-to-end pipeline agility - Berlin Buzzwords 2024
End-to-end pipeline agility - Berlin Buzzwords 2024
 

Mastering Cloud Data Cost Control: A FinOps Approach

  • 1. Mastering Cloud Data Cost Control: A FinOps Approach Felix Liao Director of Product Management APAC
  • 2. 2 Good News - Cloud Benefits Learn Cloud Economics - Value of Cloud - Cloud ROI Framework – AWS (https://aws.amazon.com/economics/)
  • 3. 3 Bad News – Managing Cloud Spend
  • 4. 4 Managing Cloud Data and Analytics Workload Costs is HARD!
  • 5. 5 FinOps is a cultural practice. It’s the way for teams to manage their cloud costs, where everyone takes ownership of their cloud usage supported by a central best-practices group What is FinOps? FinOps Foundation Technical Advisory Council https://www.finops.org/introduction/what-is-finops/ “ Good idea. But How?
  • 6. 6 Why Denodo? - Embrace a distributed data landscape Embrace a distributed data landscape Embrace the fact that data resides in multiple locations or systems – on- prem, hybrid, multi-cloud. All data needs to be managed with consistency Use a logical approach to manage it Consumers access data through a centralized semantic model, decoupled from data location and physical schemas, that can enforce security and governance requirements 6 Adopt AI to simplify and automate Learn from usage and leverage Large Language Models to automate tedious repetitive tasks
  • 7. 7 3rd Party Connectors Data Science / Prep Tools Why Denodo? – Extensive Technology Ecosystem Support MDM & DQ Tools Data Governance Tools Cloud Service Providers Big Data/NoSQL Sources HDInsight BI & Reporting Tools Data Modeling Tools Security & Privacy Traditional Data Sources SaaS/Cloud Applications Cloud Data Warehouses API Management / ESB
  • 8. 8 Why Denodo - FinOps support via a Logical Data Fabric Layer Implementing a FinOps program for data and analytics requires data that is best collected from the logical data fabric layer.
  • 9. 9 Data Virtualization: The Foundation of a Logical Data Management Architecture Agile Data Integration Logical Data Abstraction Smart Query Acceleration Advanced Semantics Automation & Recommendation Unified Security & Governance Data Catalog AI/ML Hybrid/Multi-Cloud Data Integration Self-Service BI Data Governance 3600 View of Entities FinOps Data Science Enterprise Data Services Data Fabric/Data Mesh 6 Key Capabilities of Logical Data Management Differentiated Use Cases
  • 10. 10 Inform: Logging and tracking queries and data transfers Denodo Platform Warehouse Mobile Apps Operational RDBMS Data Source Traffic • Cloud provider and region • SQL statements • Execution time • Results row transferred • Results size transferred Marketing Data Science Notebooks On-prem tools . BI Tools Operations Data Science Notebooks On-prem tools . BI Tools Data Source Compute • Database type and technology • SQL statements • Execution time • Estimated table scanned at source End user Query Traffic • User name/ID • Cloud provider and regions • SQL statements • Execution time • Total rows count • Total result transfer size
  • 11. 11 Inform: Easy Integration with third party dashboarding Tool
  • 13. 13
  • 14. 14
  • 15. 15
  • 16. 16
  • 17. 17 • Denodo Platform can orchestrate and optimize the user queries in multiple ways to reduce cloud cost • The Denodo Query Optimizer was built from day one to minimize compute and traffic and supports a wide variety of optimization query control techniques • Push Down Optimizations • Intelligent Caching/Replication • Smart Query Acceleration • Query scope control • All with minimum disruption to the end users! Optimize & Operate: The Logical Layer to the Rescue
  • 18. 18 • Intelligent Caching/Replication • Use cache or alternative/cheaper compute technology • Smart Query Acceleration • Leverage pre-cached summary table • Limit execution time or size of the result set • E.g. Force query re-write to limit results time horizon Optimize: Reduce Data Source and Table Scan Costs
  • 19. 19 • Intelligent Query push-down • Automated joins push-downs • Intelligent Caching/Replication • Use cache or alternative/cheaper compute technology • Smart Query Acceleration • Leverage pre-cached summary table Optimize and Operate: Reduce Cloud Egress Charges
  • 20. 20 Why Denodo - Proven in Large Enterprise Scale Deployments ✓ 2,000+ APIs in production using over 300+ data sources ✓ 2+ Million queries/day ✓ 7 years in Production – 0 Downtime ✓ Deliver data 90% faster E N T E R P R I S E – A L L B U S I N E S S L I N E S 200k users (int. & ext.) ✓ 20k+ views / 1k+ sources / 1.5K+ services ✓ Logical data fabric for enterprise governance & security / 10 years in ✓ 1/6th time to build compared to ETL ✓ Data services run 2X – 10X faster N U C L E A R W E A P O N S C O M P L E X 10 sites / 200k users ✓ 34K views – Inventory of all data assets 100+ sources ✓ Single access layer ✓ 1K+ APIs in production using over ✓ 6 years in Prod - 100% ROI in first 2 years ✓ $1MM+ savings / year E N T E R P R I S E – A N A LY T I C S & R E P O R T I N G 50k users ✓ 2K+ Views - eliminated 1k+ point to point connections ✓ 98% faster processing - 1 day vs. 60 days ✓ 2 years in Production ✓ $40MM savings – eliminating physical data replication & storage E N T E R P R I S E – S C A L E D E P L O Y M E N T
  • 21. 21 • Multi-cloud/Hybrid cloud and increasingly complex data landscape is increasing the complexity of FinOps implementations • A logical data fabric layer can simplify and accelerate the implementation of FinOps initiative and strategies • Start with a solid foundation that improve visibility in a robust and scalable way! Key Take Aways
  • 22. 22 Next Steps Access Denodo Platform in the Cloud! Take a Test Drive today! www.denodo.com/TestDrive GET STARTED TODAY
  • 23. Q&A
  • 24. Thanks! www.denodo.com info@denodo.co m © Copyright Denodo Technologies. All rights reserved 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.