The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
DCIM: An Integral Part of the Software Defined Data CentreConcurrentThinking
Do you know what DCIM is? Discover with Concurrent Thinking how to improve your data centre efficiency, how to overcome challenges in data centres and what the future of DCIM is.
Find out more here: http://www.concurrent-thinking.com/
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
DCIM: An Integral Part of the Software Defined Data CentreConcurrentThinking
Do you know what DCIM is? Discover with Concurrent Thinking how to improve your data centre efficiency, how to overcome challenges in data centres and what the future of DCIM is.
Find out more here: http://www.concurrent-thinking.com/
This presentation shows that Data Center Infrastructure Management (DCIM) Software to a Data Center Manager is what ERP software is to a VP - Manufacturing. This is the 2nd presentation from a series of 3-part series from GreenField Software on the subject: DCIM for High Availability.
DCIM Software charts out the relationship maps for assets by identifying various dependencies among them. Threshold-based alerts on critical parameters, combined with impact analysis of Move-Add-Change, mitigates risks of DC failures.
GreenField Software’s Mission is to help Data Centers control capital expenditures reduce operating expenses and mitigate the risks of Data Center failures. Besides DCIM Software, GFS offers Data Center Advisory Services in the areas of best practices, capacity planning, energy efficiency and business continuity of data centers.
Leveraging Cloud-based Building Management Systems for Multi-site FacilitiesSchneider Electric
Until recently, enterprise building management of
multiple, distributed facilities has been beyond the
budget of most organizations. New advances in Cloud
technology are now enabling enterprises to centrally
monitor, control and manage their medium and smaller
sized facilities at an affordable cost. The benefits of the
cloud facility management approach have helped to
create more productive environments for workers and
customers and also facilitated better executive
decision-making at the corporate level.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
Green IT in the boardroom, Jose Iglesias SymantecIT Executive
Conferentie Greening the Enterprise,
IT Executive, 25 november 2009
Green IT in the Boardroom
Spreker: Jose Iglesias (VP of Global Solutions, Symantec)
At the same time that data centers are running short on space and power, IT organizations are also finding themselves dealing with skyrocketing amounts of information. But such challenges often have a way of presenting new opportunities. Today, Green IT is re-shaping the data center and bringing IT to the forefront in the boardroom. Energy efficiency is not just a set of quick fixes like virtualizing everything or focusing on new hardware – but rather a fundamental shift in how to approach the problem from the start by leveraging an existing investment in software and planning for how to save “green” while “going green” year over year. It covers the entire IT organization including the endpoints, servers, storage and communications. Jose will cover the practical issues of implementing green IT technologies into businesses and what the consequences are locally and across the globe.
Managing 'Big Data': Federal use cases for real-time data infrastructureSchneider Electric
OSIsoft's PI System - a software data infrastructure for real-time and event data is a necessary underpinning for monitoring, measurement, and incremental improvement in complex critical infrastructure environments. Hear about use cases and return on investment relevant to federal projects where energy management, operations optimization, and real-time situational awareness are priority goals.
This paper will discuss how cloud is helping enterprises, governments and industries around the globe meet their current challenges through key value drivers.
Going Modular? Lessons learned from 500 modular data center implementations
Everyday we face unpredictable demands from the business and continue to drive new technology and compute models in to our data centers. These are the challenges we all face in how to best design our next data center. Learn how to extend the life of your existing data center, rationalize your overall data center portfolio or design new data centers to lower your data center’s costs. We will discuss proven data center design approaches from implementing 500 modular data centers around the world that address data center availability, capacity, capital, and operating costs in a cost effective and flexible manner, providing capacity when and where it is needed.
Presentation Originally Given at the Wall Street Technology Association's (WSTA) - March 2011 Boston Seminar: Financial Services Infrastructure Management
A surprising number of communications companies still document their network in disparate proprietary systems like CAD. This makes it difficult to obtain information needed to make decisions fast and stay competitive. This paper demonstrates how an enterprise Geographic Information System (GIS)–based system is a better approach by enabling a centralized data store; multiple simultaneous editors; flexibility and configurability; standard customization environments; open integration framework; desktop, Web, mobile and cloud deployment options; and rich data interoperability.
As DCIM emerges into a familiar term, a fortified discipline, a new market of solutions, and by definition 'integrates IT and facilities management', what does 'bridging the departmental gap' really mean? Where are the gaps, where will the synergy be, and what will be done differently with DCIM in the mix? Join Michael Tresh, Director of Product Management and Marketing, as he discusses legacy, current, and future data center infrastructure management.
MT11 - Turn Science Fiction into Reality by Using SAP HANA to Make Sense of IoTDell EMC World
Data collected from the “Internet of Things” is a reality, flooding data centers at a rapid pace! But how can you take advantage of that data in real-time? Join this session to examine how Connected Business with Dell and SAP puts that data to work for you - on-premise or cloud - to build solutions that glean real-time insights from IoT
This presentation shows that Data Center Infrastructure Management (DCIM) Software to a Data Center Manager is what ERP software is to a VP - Manufacturing. This is the 2nd presentation from a series of 3-part series from GreenField Software on the subject: DCIM for High Availability.
DCIM Software charts out the relationship maps for assets by identifying various dependencies among them. Threshold-based alerts on critical parameters, combined with impact analysis of Move-Add-Change, mitigates risks of DC failures.
GreenField Software’s Mission is to help Data Centers control capital expenditures reduce operating expenses and mitigate the risks of Data Center failures. Besides DCIM Software, GFS offers Data Center Advisory Services in the areas of best practices, capacity planning, energy efficiency and business continuity of data centers.
Leveraging Cloud-based Building Management Systems for Multi-site FacilitiesSchneider Electric
Until recently, enterprise building management of
multiple, distributed facilities has been beyond the
budget of most organizations. New advances in Cloud
technology are now enabling enterprises to centrally
monitor, control and manage their medium and smaller
sized facilities at an affordable cost. The benefits of the
cloud facility management approach have helped to
create more productive environments for workers and
customers and also facilitated better executive
decision-making at the corporate level.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
Green IT in the boardroom, Jose Iglesias SymantecIT Executive
Conferentie Greening the Enterprise,
IT Executive, 25 november 2009
Green IT in the Boardroom
Spreker: Jose Iglesias (VP of Global Solutions, Symantec)
At the same time that data centers are running short on space and power, IT organizations are also finding themselves dealing with skyrocketing amounts of information. But such challenges often have a way of presenting new opportunities. Today, Green IT is re-shaping the data center and bringing IT to the forefront in the boardroom. Energy efficiency is not just a set of quick fixes like virtualizing everything or focusing on new hardware – but rather a fundamental shift in how to approach the problem from the start by leveraging an existing investment in software and planning for how to save “green” while “going green” year over year. It covers the entire IT organization including the endpoints, servers, storage and communications. Jose will cover the practical issues of implementing green IT technologies into businesses and what the consequences are locally and across the globe.
Managing 'Big Data': Federal use cases for real-time data infrastructureSchneider Electric
OSIsoft's PI System - a software data infrastructure for real-time and event data is a necessary underpinning for monitoring, measurement, and incremental improvement in complex critical infrastructure environments. Hear about use cases and return on investment relevant to federal projects where energy management, operations optimization, and real-time situational awareness are priority goals.
This paper will discuss how cloud is helping enterprises, governments and industries around the globe meet their current challenges through key value drivers.
Going Modular? Lessons learned from 500 modular data center implementations
Everyday we face unpredictable demands from the business and continue to drive new technology and compute models in to our data centers. These are the challenges we all face in how to best design our next data center. Learn how to extend the life of your existing data center, rationalize your overall data center portfolio or design new data centers to lower your data center’s costs. We will discuss proven data center design approaches from implementing 500 modular data centers around the world that address data center availability, capacity, capital, and operating costs in a cost effective and flexible manner, providing capacity when and where it is needed.
Presentation Originally Given at the Wall Street Technology Association's (WSTA) - March 2011 Boston Seminar: Financial Services Infrastructure Management
A surprising number of communications companies still document their network in disparate proprietary systems like CAD. This makes it difficult to obtain information needed to make decisions fast and stay competitive. This paper demonstrates how an enterprise Geographic Information System (GIS)–based system is a better approach by enabling a centralized data store; multiple simultaneous editors; flexibility and configurability; standard customization environments; open integration framework; desktop, Web, mobile and cloud deployment options; and rich data interoperability.
As DCIM emerges into a familiar term, a fortified discipline, a new market of solutions, and by definition 'integrates IT and facilities management', what does 'bridging the departmental gap' really mean? Where are the gaps, where will the synergy be, and what will be done differently with DCIM in the mix? Join Michael Tresh, Director of Product Management and Marketing, as he discusses legacy, current, and future data center infrastructure management.
MT11 - Turn Science Fiction into Reality by Using SAP HANA to Make Sense of IoTDell EMC World
Data collected from the “Internet of Things” is a reality, flooding data centers at a rapid pace! But how can you take advantage of that data in real-time? Join this session to examine how Connected Business with Dell and SAP puts that data to work for you - on-premise or cloud - to build solutions that glean real-time insights from IoT
How Intelligent Operations Enables Proactive Data Center ManagementITOutcomes
CIOs often live and die by the data center’s performance and availability numbers.
Nine out of 10 respondents to a 2014 survey of data center professionals showed that service availability is highly critical to their performance.
But at the same time, 41 percent of organizations missed their service availability goals for mission-critical systems in 2013. Not surprisingly, organizations with higher service availability goals were significantly less successful in meeting their goal.
But here’s a new way of thinking about improving data center metrics: IT departments should no longer be concerned with improving system performance and reducing downtime for its own sake. Rather, consider these as metrics for enabling IT to deliver more of what the business needs, when it needs it.
In other words, it’s time to transform infrastructure and application measurements from tactical to strategic metrics.
Panduit Physical Infrastructure Manager™ (PIM™) Software Platform and PViQ Intelligent Hardware combine for a comprehensive data center infrastructure management (DCIM) solution. This intelligent software and hardware provides data center professionals greater staff productivity and visibility of all data center assets along with their connectivity, locations, and relationships. PIM™ solutions allow you to discover, visualize, model, control, report, predict and manage all physical data center assets including the ability to simply deploy new assets and plan capacity for future growth. PIM™ solutions can also help control energy costs, reduce risks and increase operational efficiency.
In 2014, more than 75 vendors self-identified as DCIM providers, including many with individual point solutions or proprietary monitoring hardware. When Gartner began defining DCIM as an integrated solutions suite, the list quickly shrank to less than two dozen. So what are the “must-haves” necessary to be considered a serious player in the DCIM arena?
View this presentation to find out.
The Trellis DCIM (Data Center Infrastructure Managment) Solution is a Dynamic infrastructure optimization Platform. It's the first holistic DCIM platform of hardware, software and services to bridge the critical gap between IT equipment and data center physical infrastructure.
Trellis ensures Availability, Efficiency, Agility for the modern Data Center Infrastructure.
Benefits of Operating an On-Premises InfrastructureRebekah Rodriguez
Despite the rapid evolution and growth of public cloud usage, enterprises are finding value in on-premises IT infrastructure. As a result, some organizations are moving their workloads back, partially or entirely, to their own data centers. In fact, according to a survey conducted by IDC, over ½ of the IT spent on servers and storage is still driven by on-prem deployments, and over 70% of those surveyed said they plan to repatriate workloads back from public cloud to an On-Prem Infrastructure.
The building of Internet data centers (IDCs) is a growing industry that is pushing the limits of electric power and reliability requirements. As utilities must decide whether it is worth the cost to build new infrastructure to keep up with the present demand, facility operators are looking at power distribution designs that will improve efficiency and allow them to continue to expand their operations.
Learn how to Build a Smarter Data Center with Juniper Networks Qfabric. This IBM Redguide publication highlights the key requirements for a smarter data center and shows how the characteristics of the data center fabric, a new switching architecture, provide the performance, scalability, flexibility, and manageability that is required. For more information on SAP HANA, visit http://ibm.co/1brCGOt.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
The breadth of information provided by DCIM enables Data Center Managers to impart intelligence cross-departmentally and directly to the desk of executives. Learn how a DCIM solution can be leveraged for optimal understanding of the data centers current state and projected needs in terms of cost. This webinar will provide a high-level view of DCIM's value and is intended for any person involved in making decisions in the data center.
Case Study: Datotel Extended the Power of Infrastructure Management to the Ph...CA Technologies
Learn how Datotel, a provider of cloud computing, co-location and Infrastructure as a Service (IaaS) is using CA DCIM to help run their data centers more efficiently.
For more information on DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
Mt19 Integrated systems as a foundation of the Software Defined DatacentreDell EMC World
Moving towards a software defined future can be daunting. We look at the choices available to you, how to comprehensively manage the combined technologies and why integrated systems provide the best platform for the shift to software defined.
[Infographic] Are Data Center Demons Keeping You Up at Night?CA Technologies
Are data center demons keeping you up at night? You’re not alone. 84% of data centers report that deficiencies related to power, space and cooling issues are creating a multitude of challenges such as delayed application rollouts and disruptions in customer-facing services. As organizations expand their development efforts and application portfolios, data center managers must find new ways to get the most value from their existing resources and improve capacity planning in order to optimize operations.
Defeat the data center demons and stay competitive in the application economy by optimizing existing resources and increasing insight and visibility into your data center operations.
CA Data Center Infrastructure Management (DCIM) offers the ability to capture detailed, real-time information and achieve a 360-degree view of data center operations that can rein in runaway costs, reduce downtime and mitigate other risk factors that can wreak havoc on the application lifecycle. Learn how to defeat the data center demons and stay competitive in the application economy in this DCIM infographic.
Learn more about CA DCIM: http://bit.ly/1Bo7MDk
IBM Z Cost Reduction Opportunities. Are you missing out?Precisely
Large companies continue to use mainframes for their most business-critical IT workloads. For these companies, finding ways to get more bang for the mainframe buck, in terms of both costs and performance, is always a high priority. Several converging trends in recent years have made it more challenging than ever to achieve the needed organizational performance at the best possible price point. IT leaders in mainframe departments are seeking out ways to speed processing, especially mundane processing tasks such as sorting, copying, merging, compression, and report generation.
Whether you are looking to get more value from your mainframe investment with enhanced performance, improved efficiency, or modernization, Precisely has multiple solutions for customer running IBM Z Systems that can have a dramatic impact on cost and efficiency.
Watch this on-demand webinar to learn about:
• Optimizing mainframe sort workloads
• Leveraging your zIIP processors
• Modernizing your database environment
• Improving visibility into mainframe processing
The Digital Data Center: Connect, Aggregate, Analyze and ActTony DeSpirito
This presentation explores the latest in digital data center operations and innovative technology to efficiently and effectively operate and maintain mission critical data centers.
Best Practices in the Cloud for Data Management (US)Denodo
Watch here: https://bit.ly/2Npt82U
If you have data, you are engaged in data management—be sure to do it effectively.
As organizations are assessing how COVID-19 has impacted their operations, new possibilities and uncharted routes are becoming the norm for many businesses. While exploring and implementing different deployment and operational models, the question of data management naturally surfaces while considering how these changes impact your data. Is this the right time to focus on data management? The reality is that if you have data, you are engaged in data management and so the real question is, are you doing it well?
Join Brice Giesbrecht from Caserta and Mitesh Shah from Denodo to explore data management challenges and solutions facing data driven organizations.
A case study from Harley-Davidson on how they planned to expand their data centers world-wide. This presentation was given during the Spring 2012 Data Center World Conference in Las Vegas, NV. Learn more by visiting www.datacenterworld.com.
Lowering operating costs through cooling system designAFCOM
Learn more about achieving maximum energy efficiency through cooling system design. This presentation was given during the Spring 2012 Data Center World Conference in Las Vegas, NV. Learn more by visiting www.datacenterworld.com.
This presentation on disaster recovery was given during the 2012 Data Center World Conference in Las Vegas, NV. Learn more by visiting www.datacenterworld.com.
Benchmark the Relative Performance of Your Data CenterAFCOM
The following presentation was given during the 2012 Data Center World conference in Las Vegas, NV by Jay Taylor at Schneider Electric. Learn more about Data Center World at www.datacenterworld.com.
Understanding And Evaluating Colocation Data CentersAFCOM
The following presentation was given during the Spring 2012 Data Center World conference in Las Vegas, NV by Kirk Killian. Learn more about Data Center World at www.datacenterworld.com.
Buy vs Build Considerations in Today's Data Center Marketplace AFCOM
This presentation was given during the Spring 2012 Data Center World conference by Jerry Gallagher and Jeff Robinson from Mission Critical. Learn more about Data Center World at www.datacenterworld.com.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Data Center Management: Where Brain Meet Braun
1. Interested in data center management?
Learn about the data center management sessions offered at the upcoming
Fall 2012 Data Center World Conference at:
www.datacenterworld.com.
This presentation was given during the Spring, 2012 Data Center World Conference and Expo.
Contents contained are owned by AFCOM and Data Center World and can only be reused with the
express permission of ACOM. Questions or for permission contact: jater@afcom.com.
1
3. Agenda
Immovable Objects Vs Unstoppable Forces
The 3 P’s - Popular Problems in Data Centers
The Brains and Braun of DCIM today
Beyond 2012
3
4. Immovable Objects Vs Unstoppable
Forces
● Growing Power Demand and Complexity of IT requirements
● Data Center Operations Personnel
● Something has to give…
4
5. Power challenges continue to grow
● Power usage #1 issue for most large-company IT execs over the next
2-4 years
● Physical infrastructure (power, cooling) costs will equal, and then
surpass IT equipment costs
● Physical infrastructure is becoming more intelligent and living on
networks
● Existing NMS, EMS and BMS packages don’t address the supporting
physical infrastructure
Small Medium Large X-Large
IT Load <160 kW 160-800 kW 800-2,500 kW >2,500 kW
# of Servers 250 250-1,300 1,300-4,000 >4,000
# of Racks <40 40-200 200-800 >800
Source: Uptime Institute and The 451 Group
Market conditions are perfect for introducing next generation management tools to
effectively manage the Data Center.
5
6. Energy costs outstripping IT costs
Source: IDC, Worldwide Server Energy Expense 2009–2013 Forecast (12/09)
6
7. People are the Difference
The right tools and information make people productive
Facilities CIO IT
Energy Business Utilization and
Delivery Effectiveness Applications Uptime
• Hot aisle • ROI • Server refresh
containment
• SLA • Consolidation
• Cold aisle
containment • Fiduciary • Virtualization
responsibility
• Clean Power • Utilization
• Metrics management
• Hot Spots
7
8. Infrastructure Performance
Measuring Data Center Efficiency
●Current metrics include
efficiency measurement but
don’t consider true impact to
business PUE becoming the de facto
standard(s) for measuring data
center efficiency but
Not the end-all-be-all
Fluctuations can be a good thing,
reducing total energy consumption
may cause your PUE to increase
or decrease
More sophisticated analysis of IT
and Infrastructure is required to
account for IT to Business
efficiency 8 8
9. Performance driven virtualization
•Capture the all the costs when making a virtualization decision.
•Know how power, cooling and IT impact your decision
•The multipliers are substantial
•Know that the destination can handle the load.
•Optimizing the DC means consolidation, reduction and improvement
9
10. Without insight into utilization and power
consumption, optimizing IT to drive business
value is impossible
10
10
11. Data Centre Infrastructure Management
(DCIM)
Data center infrastructure management (DCIM) is the integration of (IT) and facilities
management disciplines to centralize monitoring, management and intelligent
capacity planning of a data center’s critical systems and increase availability.
Monitoring, Measuring and Alerting Management and Control
• Centralised monitoring • Automated management and control
• Customisable alerting • Fault-tolerant (fail-over)
• Reporting and trending
Decision Support and Information Software Services
Management • Installation, Commissioning, Educational,
• Asset management Entitlement etc.
●Inventory • Project management and Customisation
• Planning
●Scenario Analysis, Master plans
• Change and Configuration management
●Execution of plans
• Capacity and Energy management
●Maximising capacity and
energy optimisation
11
12. Benefits of DCIM
●Baseline, plan and intelligently manage capacity--
space, power, cooling
●Drive energy efficiency initiatives
●Use virtualization effectively
●Optimize critical infrastructure, improve uptime
●Reduce costs through effective utilization of
infrastructure
●Streamline data center operations, implement best
practices
●Deliver performance metrics
12
12
13. Trends in Data Center Management
Convergence of Metrics
13
14. Market Trends
What’s Being Said About DCIM?
●“DCIM market is estimated to be worth $240m in 2011, growing to
$1.2 bn in 2016.” Quote from 451 Group, Tier1 Research, 2011
●“Data Center Infrastructure Management (DCIM) is truly one of the
only areas, where facilities and IT meet to think about the business’
backbone in a tactical and strategic manner.” Quote from IDC, 2010
●“Inhibitors to the DCIM adoption are cost, functionality issues, the
difficulty of creating and maintaining asset databases, and commitment
to simple in-house tools.” Quote from 451 Group, Tier1 Research, 2011
●“Energy savings from well-managed data centers can reduce
operating expenses by as much as 20%.” Quote from Gartner 2010
●“Widespread belief among data center operators that it is possible to
manage data centers without physical infrastructure management
tools.” APC By Schneider Electric, White Paper 1-7, 2011
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15. Questions?
Michael Tresh
Schneider Electric - StruxureWare Operations
Product Team
michael.tresh@schneider-electric.com
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16. Interested in data center management?
Learn about the data center management sessions offered at the upcoming
Fall 2012 Data Center World Conference at:
www.datacenterworld.com.
This presentation was given during the Spring, 2012 Data Center World Conference and Expo.
Contents contained are owned by AFCOM and Data Center World and can only be reused with the
express permission of ACOM. Questions or for permission contact: jater@afcom.com.
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