An introduction to data centers, including a discussion on location criteria, key factors to look for when thinking about establishing a data center in an existing building and case studies on data centers in the Atlanta and Toronto areas.
Every business has a data center, regardless of the size. Even the smallest business has it. It is an ever-growing part of business in the modern world and a key business parameter, since data center influences the functioning of business enterprise. Imagine what happens to the business operation when the data center is interrupted. Any interruption can lead to serious breakdown. That is why efficient backup strategy is essential.
Managed IT Services Pricing Models And Strategies Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting Managed IT Services Pricing Models And Strategies PowerPoint Presentation Slides. This complete PPT deck is made up of 40 professional slides. You can convert and save this PowerPoint slideshow in formats like PDF, PNG, and JPG. All the templates are fully customizable. You can edit text, fonts, patterns, colors, and background within seconds. Also, this PPT template deck is compatible with Google Slides. You can view this presentation on standard and widescreen formats. https://bit.ly/36YwIxW
Every business has a data center, regardless of the size. Even the smallest business has it. It is an ever-growing part of business in the modern world and a key business parameter, since data center influences the functioning of business enterprise. Imagine what happens to the business operation when the data center is interrupted. Any interruption can lead to serious breakdown. That is why efficient backup strategy is essential.
Managed IT Services Pricing Models And Strategies Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting Managed IT Services Pricing Models And Strategies PowerPoint Presentation Slides. This complete PPT deck is made up of 40 professional slides. You can convert and save this PowerPoint slideshow in formats like PDF, PNG, and JPG. All the templates are fully customizable. You can edit text, fonts, patterns, colors, and background within seconds. Also, this PPT template deck is compatible with Google Slides. You can view this presentation on standard and widescreen formats. https://bit.ly/36YwIxW
Data Center Infrastructure Management Powerpoint Presentation SlidesSlideTeam
Introducing Data Center Infrastructure Management PowerPoint Presentation Slides. You can present key drivers for sustainable infrastructure by using our readily available PPT slide deck. The PowerPoint slide deck helps to illustrate the market size, key funding areas of infrastructure, key technology trends in infrastructure in a presentable manner. Further, the slideshow also showcases the asset management process with lifecycle and framework. Utilize our visually-attention-grabbing asset infrastructure PowerPoint templates to mention inventory assets for manufacturing companies. Showcase the deterioration modeling and the types of deterioration modeling such as asset and risk assessment deterioration modeling with the help of asset infrastructure PPT visual. With this infrastructure management PPT slide deck, explain each deterioration modeling in detail using this PPT slideshow. It is possible to depict asset management decision journey, and performance and cost functions by downloading this PPT presentation. https://bit.ly/3c8cORj
This Slide's will help those guys who are looking for to study the Data Center Design . In these Slide's, you can understand the concept of raised floor, importance of raised floor, why raised floor is needed in a Data Center, and many more concepts ..
Hope it will gave you the good understanding to related topic.
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...Maria Demitras
Implementing data center best practices and using CFD models allowed Great Lakes to suggest a data center layout that would improve PUE and efficiency. Jason Hallenbeck, DCDC, explains the concepts behind how data center floor design can save or kill your PUE and cooling efficiency—as found in this proposal. Find Jason presenting at the BICSI Fall Conference on September 14th at 1:30 pm.
The data center market has expanded dramatically in the past few years, and it doesn’t show signs of slowing down. Many clients and building owners are requesting modular data centers, which can be placed anywhere data capacity is needed. Modular data centers can help cash-strapped building owners add a new data center (or more capacity) to their site, and can assist facilities with unplanned outages, such as disruptions due to storms. Owners look to modular data centers to accelerate the “floor ready” date as compared to a traditional brick and mortar.
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Cloud adoption continues to gain momentum, but organizations are finding limited success in their cloud migrations to date. The reason? Poor organizational planning and inaccurate cost estimates during discovery and planning can stymie success before the migration even begins. Organizations must re-evaluate what they are doing before they begin their migration, or success may prove elusive during it.
This CloudHealth Technologies-commissioned profile of US IT decision makers at firms that are currently migrating or have migrated workloads to public cloud platforms investigates common strategies and challenges associated with public cloud migration in order to identify what organizations can do during discovery and planning to ensure a successful migration.
Read the full report here: http://go.cloudhealthtech.com/17q2_wp_due-diligence-cornerstone-public-cloud-migration-success.html
Review of Information Technology Function Critical Capability ModelsAlan McSweeney
IT Function critical capabilities are key areas where the IT function needs to maintain significant levels of competence, skill and experience and practise in order to operate and deliver a service. There are several different IT capability frameworks. The objective of these notes is to assess the suitability and applicability of these frameworks. These models can be used to identify what is important for your IT function based on your current and desired/necessary activity profile.
Capabilities vary across organisation – not all capabilities have the same importance for all organisations. These frameworks do not readily accommodate variability in the relative importance of capabilities.
The assessment approach taken is to identify a generalised set of capabilities needed across the span of IT function operations, from strategy to operations and delivery. This generic model is then be used to assess individual frameworks to determine their scope and coverage and to identify gaps.
The generic IT function capability model proposed here consists of five groups or domains of major capabilities that can be organised across the span of the IT function:
1. Information Technology Strategy, Management and Governance
2. Technology and Platforms Standards Development and Management
3. Technology and Solution Consulting and Delivery
4. Operational Run The Business/Business as Usual/Service Provision
5. Change The Business/Development and Introduction of New Services
In the context of trends and initiatives such as outsourcing, transition to cloud services and greater platform-based offerings, should the IT function develop and enhance its meta-capabilities – the management of the delivery of capabilities? Is capability identification and delivery management the most important capability? Outsourced service delivery in all its forms is not a fire-and-forget activity. You can outsource the provision of any service except the management of the supply of that service.
The following IT capability models have been evaluated:
• IT4IT Reference Architecture https://www.opengroup.org/it4it contains 32 functional components
• European e-Competence Framework (ECF) http://www.ecompetences.eu/ contains 40 competencies
• ITIL V4 https://www.axelos.com/best-practice-solutions/itil has 34 management practices
• COBIT 2019 https://www.isaca.org/resources/cobit has 40 management and control processes
• APQC Process Classification Framework - https://www.apqc.org/process-performance-management/process-frameworks version 7.2.1 has 44 major IT management processes
• IT Capability Maturity Framework (IT-CMF) https://ivi.ie/critical-capabilities/ contains 37 critical capabilities
The following model has not been evaluated
• Skills Framework for the Information Age (SFIA) - http://www.sfia-online.org/ lists over 100 skills
Data Integration, Access, Flow, Exchange, Transfer, Load And Extract Architec...Alan McSweeney
These notes describe a generalised data integration architecture framework and set of capabilities.
With many organisations, data integration tends to have evolved over time with many solution-specific tactical approaches implemented. The consequence of this is that there is frequently a mixed, inconsistent data integration topography. Data integrations are often poorly understood, undocumented and difficult to support, maintain and enhance.
Data interoperability and solution interoperability are closely related – you cannot have effective solution interoperability without data interoperability.
Data integration has multiple meanings and multiple ways of being used such as:
- Integration in terms of handling data transfers, exchanges, requests for information using a variety of information movement technologies
- Integration in terms of migrating data from a source to a target system and/or loading data into a target system
- Integration in terms of aggregating data from multiple sources and creating one source, with possibly date and time dimensions added to the integrated data, for reporting and analytics
- Integration in terms of synchronising two data sources or regularly extracting data from one data sources to update a target
- Integration in terms of service orientation and API management to provide access to raw data or the results of processing
There are two aspects to data integration:
1. Operational Integration – allow data to move from one operational system and its data store to another
2. Analytic Integration – move data from operational systems and their data stores into a common structure for analysis
What is mission critical commissioning and why is it criticalMorrison Hershfield
This presentation explains the need for mission critical commissioning for critical environment as well as what types of systems should be included in the process, how the process is conducted to ensure tangible results, how it should be reported, and ultimately how to interpret and utilize the information presented to their advantage.
Data Center Infrastructure Management Powerpoint Presentation SlidesSlideTeam
Introducing Data Center Infrastructure Management PowerPoint Presentation Slides. You can present key drivers for sustainable infrastructure by using our readily available PPT slide deck. The PowerPoint slide deck helps to illustrate the market size, key funding areas of infrastructure, key technology trends in infrastructure in a presentable manner. Further, the slideshow also showcases the asset management process with lifecycle and framework. Utilize our visually-attention-grabbing asset infrastructure PowerPoint templates to mention inventory assets for manufacturing companies. Showcase the deterioration modeling and the types of deterioration modeling such as asset and risk assessment deterioration modeling with the help of asset infrastructure PPT visual. With this infrastructure management PPT slide deck, explain each deterioration modeling in detail using this PPT slideshow. It is possible to depict asset management decision journey, and performance and cost functions by downloading this PPT presentation. https://bit.ly/3c8cORj
This Slide's will help those guys who are looking for to study the Data Center Design . In these Slide's, you can understand the concept of raised floor, importance of raised floor, why raised floor is needed in a Data Center, and many more concepts ..
Hope it will gave you the good understanding to related topic.
Data Center Floor Design - Your Layout Can Save of Kill Your PUE & Cooling Ef...Maria Demitras
Implementing data center best practices and using CFD models allowed Great Lakes to suggest a data center layout that would improve PUE and efficiency. Jason Hallenbeck, DCDC, explains the concepts behind how data center floor design can save or kill your PUE and cooling efficiency—as found in this proposal. Find Jason presenting at the BICSI Fall Conference on September 14th at 1:30 pm.
The data center market has expanded dramatically in the past few years, and it doesn’t show signs of slowing down. Many clients and building owners are requesting modular data centers, which can be placed anywhere data capacity is needed. Modular data centers can help cash-strapped building owners add a new data center (or more capacity) to their site, and can assist facilities with unplanned outages, such as disruptions due to storms. Owners look to modular data centers to accelerate the “floor ready” date as compared to a traditional brick and mortar.
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Cloud adoption continues to gain momentum, but organizations are finding limited success in their cloud migrations to date. The reason? Poor organizational planning and inaccurate cost estimates during discovery and planning can stymie success before the migration even begins. Organizations must re-evaluate what they are doing before they begin their migration, or success may prove elusive during it.
This CloudHealth Technologies-commissioned profile of US IT decision makers at firms that are currently migrating or have migrated workloads to public cloud platforms investigates common strategies and challenges associated with public cloud migration in order to identify what organizations can do during discovery and planning to ensure a successful migration.
Read the full report here: http://go.cloudhealthtech.com/17q2_wp_due-diligence-cornerstone-public-cloud-migration-success.html
Review of Information Technology Function Critical Capability ModelsAlan McSweeney
IT Function critical capabilities are key areas where the IT function needs to maintain significant levels of competence, skill and experience and practise in order to operate and deliver a service. There are several different IT capability frameworks. The objective of these notes is to assess the suitability and applicability of these frameworks. These models can be used to identify what is important for your IT function based on your current and desired/necessary activity profile.
Capabilities vary across organisation – not all capabilities have the same importance for all organisations. These frameworks do not readily accommodate variability in the relative importance of capabilities.
The assessment approach taken is to identify a generalised set of capabilities needed across the span of IT function operations, from strategy to operations and delivery. This generic model is then be used to assess individual frameworks to determine their scope and coverage and to identify gaps.
The generic IT function capability model proposed here consists of five groups or domains of major capabilities that can be organised across the span of the IT function:
1. Information Technology Strategy, Management and Governance
2. Technology and Platforms Standards Development and Management
3. Technology and Solution Consulting and Delivery
4. Operational Run The Business/Business as Usual/Service Provision
5. Change The Business/Development and Introduction of New Services
In the context of trends and initiatives such as outsourcing, transition to cloud services and greater platform-based offerings, should the IT function develop and enhance its meta-capabilities – the management of the delivery of capabilities? Is capability identification and delivery management the most important capability? Outsourced service delivery in all its forms is not a fire-and-forget activity. You can outsource the provision of any service except the management of the supply of that service.
The following IT capability models have been evaluated:
• IT4IT Reference Architecture https://www.opengroup.org/it4it contains 32 functional components
• European e-Competence Framework (ECF) http://www.ecompetences.eu/ contains 40 competencies
• ITIL V4 https://www.axelos.com/best-practice-solutions/itil has 34 management practices
• COBIT 2019 https://www.isaca.org/resources/cobit has 40 management and control processes
• APQC Process Classification Framework - https://www.apqc.org/process-performance-management/process-frameworks version 7.2.1 has 44 major IT management processes
• IT Capability Maturity Framework (IT-CMF) https://ivi.ie/critical-capabilities/ contains 37 critical capabilities
The following model has not been evaluated
• Skills Framework for the Information Age (SFIA) - http://www.sfia-online.org/ lists over 100 skills
Data Integration, Access, Flow, Exchange, Transfer, Load And Extract Architec...Alan McSweeney
These notes describe a generalised data integration architecture framework and set of capabilities.
With many organisations, data integration tends to have evolved over time with many solution-specific tactical approaches implemented. The consequence of this is that there is frequently a mixed, inconsistent data integration topography. Data integrations are often poorly understood, undocumented and difficult to support, maintain and enhance.
Data interoperability and solution interoperability are closely related – you cannot have effective solution interoperability without data interoperability.
Data integration has multiple meanings and multiple ways of being used such as:
- Integration in terms of handling data transfers, exchanges, requests for information using a variety of information movement technologies
- Integration in terms of migrating data from a source to a target system and/or loading data into a target system
- Integration in terms of aggregating data from multiple sources and creating one source, with possibly date and time dimensions added to the integrated data, for reporting and analytics
- Integration in terms of synchronising two data sources or regularly extracting data from one data sources to update a target
- Integration in terms of service orientation and API management to provide access to raw data or the results of processing
There are two aspects to data integration:
1. Operational Integration – allow data to move from one operational system and its data store to another
2. Analytic Integration – move data from operational systems and their data stores into a common structure for analysis
What is mission critical commissioning and why is it criticalMorrison Hershfield
This presentation explains the need for mission critical commissioning for critical environment as well as what types of systems should be included in the process, how the process is conducted to ensure tangible results, how it should be reported, and ultimately how to interpret and utilize the information presented to their advantage.
Myths and realities about designing high availability data centersMorrison Hershfield
This presentation offers definitions of tiers, a discussion on nines, diagrams of Tier III and IV issues, factors affecting performance, reliability and availability, causes of critical failures and key takeaways.
A zero-energy building, also known as a zero net energy (ZNE) building, net-zero energy building (NZEB), or net zero building, is a building with zero net energy consumption, meaning the total amount of energy used by the building on an annual basis is roughly equal to the amount of renewable energy created on the site,or in other definitions by renewable energy sources elsewhere.These buildings consequently contribute less overall greenhouse gas to the atmosphere than similar non-ZNE buildings. They do at times consume non-renewable energy and produce greenhouse gases, but at other times reduce energy consumption and greenhouse gas production elsewhere by the same amount.
Review of TIA-942 data standards and some of the best practices surrounding a data center.
Sri Chalasani (Plante & Moran) is available to provide consulting on data center and infrastructure solutions.
It is recognized within the industry that most data centers are not energy efficient. Traditional data center designs do not fully address optimizing the data center. While data center managers struggle with uptime and reliability, business executives are looking for ways to reduce capital and operational expenses to improve the bottom line. Green initiatives are also in place to not only save money but to be environmentally responsible. New green data center designs (based on hot and cold air containment) have started to become more popular. Containment strategies and air flow optimization are recognized as a way to achieve both technical and business objectives. By separating hot and cold air within the data center, capital and operational expenses can be reduced for the business and a more stable and predictable environment can be achieved for the IT organization.
This kickoff intrtoduces the concept of the Agile Fractal grid to more than 100 companies that particpated in the full day workshop lead by Chuck Speicher and John Reynolds and Craig Miller the Chief scientist of the NRECA
Smart Grid Solutions( June 2012) my presentation from 2012 on state of smart grid solutions. I tried to identify 5 areas of technology most interesting for VC(cleantech one) within next 5 years. My intended 20m presentation turned into 80m discussion. Looking at it from 2014 some interesting things happened. I identified 5 interesting technology areas: Data management(Big data), AMI, Home automation, Cyber security and substation automation. I looked at grid scale energy storage because everyone wanted it badly but no one could figure out way for it to work at scale. So what happened since 2012.
In home automation coolest company was NEST and their main innovation was that they made thermostats consumer product. That was not obvious to everyone at the time. But we discussed investment in NEST, it not so easy though as NEST had enough cash, and you need take into account fund's life cycle. In January 2014 Google acquired NEST for $3.2B. Also at the time smartphones and technology made home automation relatively affordable and there was need for platform to control it. Microsoft was working on Home OS, software platform and interface to control home automation devices. In 2014 Apple announced HomeKit, platform to control home automation devices.
Data management - Big data started to become buzz word and companies using billions of sensors accumulated ton of date but most of them never used it. in 2014 Hadoop is standard and companies find very creative ways to use data.
AMI - i expected that we will have smart meters everywhere. 2014 I overestimated it. Though cool company Opower who found create way to use data from smart meters to create social platform for neighbors to compare their energy usage and compete to reduce it, had it successful IPO.
Cyber Security. I focused on grid security because with all smart in grid you have shift from analog to digital and risk of cyber attack. Also Cyber security for grid became mandatory by law in USA. in 2014 it is very hard to dig up data on grid but everywhere else there were huge cases of cyber security attack. Now people aware of it but still underestimate its threat. Huge but sensitive and complex market.
Grid storage. Elon Musk announced Gigafactory. It is very hard to use battery technology used in cars and smartphones on grid. Scalability is an issue. We actually did small exercise to check. My boss took his blackberry and disassembled it. We look at numbers at battery, made calculations, added cost, estimated watt needs for grid storage one, added manufacturing, environmental risks and concluded that it will not work for some time. But China announced that they will use lithium ion for storage so everyone else paid attention.
It was fun to do this research and talk to smart people. I had discussion with execs from ABB Technology ventures, VC, McRock Capital, professors from MIT, ETH. I talked to CTO of IBM's big green innovation, and my fav author James Utterback. I was great pleasure.
These are the slides from my talk at the 17th CIMA-Loughborough Shared Services Forum in Newcastle on 26th September 2013. I introduce some of the changes and challenges posted by Cloud Computing, Post-PC, Bring (or Choose) Your Own Device, and so on. I also feature some case studies of work that we have been involved with, and offer some pointers to the way forward.
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
Alan Ross, SDMyers and Jason Dennision, OnNowDigital, explain how to assess the criticality of your transformers, the growing trend of DGA monitoring with it's role in reliability, and how to set up a reliability centered maintenance plan for your critical transformers.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Concordville Microgrid, presented by Eric Stein, Travis White, George Sey, PECO, Baltimore, MD, August 29-31, 2016.
Energy Storage and the Smart Grid TiE Oregon Clean Energy Special Interest Gr...John Thornton
Energy storage is increasingly perceived as a necessary and vital component of any future smart grid, yet meaningful energy storage is still a scarce and missing component.
The discussion on April 21st will focus on:
• Value chain elements of the energy storage industry
• Who are local champions of energy storage
• What are the interests of the investment community
• What does the policy and regulatory framework look like
• How do customers value energy storage
Join our panel to better understand the technologies, trade-offs, market segments and future potential of energy storage.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
2. 22
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
• One of few real estate asset types to receive significant
investment during 2008 recession
• Most companies have data center needs
• Either own or lease
• Investment level depends on criticality to business
• Function of data center depends on business type
What is a Data Center?
3. 33
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
• A building that is purpose built to house massive amounts
of computer equipment
• Complex electrical and
mechanical systems
• Generally include:
– Redundant power and cooling
– Redundant fiber
– Environmental controls
and facility hardening
– Self sufficiency
• Construction cost per square foot 10x commercial
What is a Data Center?
4. 44
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
What is a Data Center?
Typical Non-Critical Commercial Service
5. 55
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
What is a Data Center?
Typical Data Center Critical System
6. 66
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
What is a Data Center?
7. 77
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
• Economic Incentives
• Tax incentives
• Peak shaving or cogeneration incentives
• Sustainability Opportunities/Incentives
• Green power availability
• Utility rebates to energy
efficient equipment
• Free cooling opportunities
• Data Center “Friendly” Municipalities
• Expedited approval and other helpful processes
Data Center Location Criteria
8. 88
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
• Natural Disaster Potential
– Seismic
– Tornado/Hurricane
– Flood
– Tsunami
• Utility Availability/Reliability/Costs
– Power, Fiber, Water, Sewer
– Power Cost, Power Cost, & Power Cost
Data Center Location Criteria
9. 99
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
• Stay Away from Hostile Adjacencies
– Airports/flight paths
– Railway lines
– Nuclear or other power plants
– Hazardous/explosive materials/facilities
– Residential neighborhoods
• But close enough to:
– Airports
– Freeways
– Emergency services
– Data Center equipment technicians
– Public transportation
Data Center Location Criteria
10. 1010
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Site & Building
– Structural steel or reinforced concrete shell
– Thickened existing slabs to support heavier loads
– Roof to withstand 120 mph winds
– Floor to roof structure height min. 18 feet
– Roof structure to withstand hanging loads
What Makes an Existing Building Attractive?
11. 1111
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Site & Building
– Single story
– Minimum openings on exterior walls and penetrations on roof
– Age/condition of roof and skin
– Large column less areas
– Existing surveillance, intrusion detection and access controls
What Makes an Existing Building Attractive?
12. 1212
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Utilities
– Buried utilities
– Diverse fiber and power availability
– Reliability of power grid
– Sufficient water availability
What Makes an Existing Building Attractive?
13. 1313
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Electrical
– Power capacity available for day 1 and
future growth
– Service entrances on each side of
building
– System Average interruption Duration
Index (SAIDI)
– No generator runtime, noise, fuel storage
limitations
What Makes an Existing Building Attractive?
14. 1414
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Mechanical
– Sufficient site area for on-grade
mechanical equipment
– No mechanical equipment on roof
– Municipal water & dual service
availability
– Reliable well water availability
– Site area for water storage
What Makes an Existing Building Attractive?
15. 1515
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
1st in Data Center Risk Index* driven by:
• energy security
• education
• political stability
• water availability
• avg. cost / kw
• inflation
• GDP per capita
• sustainability
*Source: Cushman and Wakefield Data Centre Risk Index 2013
CASE STUDY – Atlanta
16. 1616
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
*Source: Georgia Power
CASE STUDY – Atlanta
17. 1717
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
Low Total Cost of Ownership and Risk
Economic Incentives
• Lower tax rates
• Lower costs of living and business
• Data Center Tax Incentive Programs
– Sales and use tax exemption
– Property tax relief opportunities
Relatively Low Natural Disaster Risk
• Tornadoes
Highly Reliable Power and Abundant Fibre
Availability of Technical Talent
CASE STUDY – Atlanta
18. 1818
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
CASE STUDY - Atlanta
19. 1919
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
5th in 2013 Data Centre Risk Index* driven by:
• 1st in energy security
• 2nd in education
• 2nd in political stability
• 2nd in water availability
• 4th in avg. cost / kw
• 5th in inflation
• 7th in GDP per capita
• 10th in sustainability
*Source: Cushman and Wakefield Data Centre Risk Index 2013
CASE STUDY – Greater Toronto Area
20. 2020
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
GTA - An Attractive Location
Economic Incentives
• Data Centre Incentive Programs
• Toronto Hydro Demand Response
Sustainability Opportunities/Incentives
• Feed-in Tariffs (solar)
• Free cooling opportunities
Relatively Low Natural Disaster Risk
• Floods and Tornadoes
Relatively Reliable Power (SAIDI 1.43 vs 1.5 N.A. avg)
Some Municipalities Very Friendly
CASE STUDY – Greater Toronto Area
21. 2121
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
GTA – Under-Served
– 4th largest urban area & 2nd largest financial services sector in N.A.
– 2/3 of Canadian raised floor square footage
*Source: Cushman and Wakefield Market Bytes, Toronto Summer 3013
CASE STUDY – Greater Toronto Area
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
Est. Operational Sq. Ft.
22. 2222
What is a Data Center?
Data Center Location
Criteria
What Makes an Existing
Building Attractive?
Case Study – Atlanta
Case Study – GTA
CASE STUDY – Greater Toronto Area
GTA – Leaders