Business Performance (BPI) Network: Books

Book

Id: 115
Date: 2013-07-03
Title: Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement
Author: Jan Schaffner
Publisher: Springer
Description: With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.
Image: Multi Tenancy 80x120.jpg
Url: http://amzn.to/2uDwwwM
Created: 2017-07-26 16:55:38
Modified: 2017-07-26 16:57:00

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Related Programs

Id	Title	Subtitle	Description	Date	Created	Modified	Actions
24	Gain the Ability for Cloud Agility	Assessing Enterprise Capacity to Embrace a Multi-Cloud Strategy	The move to next-generation IT operating models, featuring public, private and hybrid clouds, has begun in earnest in many enterprises globally. A recent study by Intel found that Hybrid cloud adoption grew three times during 2016, from some 19 percent of organizations in 2015 to 57 percent at the end of 2016. The study also forecast that within 15 months, by mid-2018, some 80 percent of all IT budgets would be committed to cloud applications and solutions. The advantages of the cloud—from reduced cost and reliance on corporate data centers, to improved scale, flexibility, speed, integration, and access to expertise—are all making the cloud a seemingly inevitable IT strategy for business. Yet, the move to the cloud is also creating new layers of complexity and concern for executive management teams and their IT organizations. Indeed, the promise of greater business agility and cost efficiency is still a work in progress for most organizations. Regulatory compliance, security and business continuity concerns, the increasing complexity of managing multi-cloud and hybrid cloud environments, the challenge of maintaining control over costs and maximizing performance, and guarding against cloud vendor lock-in—all of these are issues that large and mid-sized organizations must confront as they make the transition to cloud-based IT models. Perfecting the Ability for Cloud Agility is a new research effort by the Business Performance Innovation Network, in partnership with DBM Cloud Systems, to understand where enterprises are in their journey to implement cloud strategies for managing applications, services and vast, growing repositories of data. It looks at the significant management issues and challenges enterprises face as they seek to effectively tap into the capacity of the cloud and its elastic compute power to keep pace with the growing demands on their businesses. Among the issues to be explored: The anticipated advantages of the cloud and where companies are in realizing those benefits The impact of explosive data growth, and how companies can best manage storage costs, accessibility and performance in the cloud, including the challenges of keeping data close to the compute layer The degree to which companies are adopting multi-cloud strategies, why, and the complexities and challenges of implementing them Concerns about cloud vendor lock-in and how ompanies can protect themselves The need to move applications and data between cloud infrastructures and the problems, costs and complexities companies face in achieving this migration How companies are meeting the challenges of governance and compliance, particularly geo-sovereignty? This study will engage IT and business leaders in a conversation about the benefits, requirements, priorities and pitfalls of building an effective multi-cloud and hybrid strategies to meet the demands of enterprises to control data management costs and increase the flexibility of their business. The BPI Network is conducting one-on-one conversations with enterprise executives in data-intensive industries, as well as domain experts, to identify current practices, problems and rewards being realized by cloud adoption and new data storage methods. This qualitative peer-driven research will be developed into a new strategic brief to help organizations chart the path forward.	2017-07-26	2017-07-26 15:10:11	2018-06-25 16:12:03	View Edit Delete

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Description

Date

Created

Modified

Actions

Gain the Ability for Cloud Agility

Assessing Enterprise Capacity to Embrace a Multi-Cloud Strategy

The move to next-generation IT operating models, featuring public, private and hybrid clouds, has begun in earnest in many enterprises globally. A recent study by Intel found that Hybrid cloud adoption grew three times during 2016, from some 19 percent of organizations in 2015 to 57 percent at the end of 2016. The study also forecast that within 15 months, by mid-2018, some 80 percent of all IT budgets would be committed to cloud applications and solutions.

The advantages of the cloud—from reduced cost and reliance on corporate data centers, to improved scale, flexibility, speed, integration, and access to expertise—are all making the cloud a seemingly inevitable IT strategy for business.

Yet, the move to the cloud is also creating new layers of complexity and concern for executive management teams and their IT organizations. Indeed, the promise of greater business agility and cost efficiency is still a work in progress for most organizations. Regulatory compliance, security and business continuity concerns, the increasing complexity of managing multi-cloud and hybrid cloud environments, the challenge of maintaining control over costs and maximizing performance, and guarding against cloud vendor lock-in—all of these are issues that large and mid-sized organizations must confront as they make the transition to cloud-based IT models.

Perfecting the Ability for Cloud Agility is a new research effort by the Business Performance Innovation Network, in partnership with DBM Cloud Systems, to understand where enterprises are in their journey to implement cloud strategies for managing applications, services and vast, growing repositories of data. It looks at the significant management issues and challenges enterprises face as they seek to effectively tap into the capacity of the cloud and its elastic compute power to keep pace with the growing demands on their businesses.

Among the issues to be explored:

The anticipated advantages of the cloud and where companies are in realizing those benefits
The impact of explosive data growth, and how companies can best manage storage costs, accessibility and performance in the cloud, including the challenges of keeping data close to the compute layer
The degree to which companies are adopting multi-cloud strategies, why, and the complexities and challenges of implementing them
Concerns about cloud vendor lock-in and how ompanies can protect themselves
The need to move applications and data between cloud infrastructures and the problems, costs and complexities companies face in achieving this migration
How companies are meeting the challenges of governance and compliance, particularly geo-sovereignty?

This study will engage IT and business leaders in a conversation about the benefits, requirements, priorities and pitfalls of building an effective multi-cloud and hybrid strategies to meet the demands of enterprises to control data management costs and increase the flexibility of their business.

The BPI Network is conducting one-on-one conversations with enterprise executives in data-intensive industries, as well as domain experts, to identify current practices, problems and rewards being realized by cloud adoption and new data storage methods. This qualitative peer-driven research will be developed into a new strategic brief to help organizations chart the path forward.

2017-07-26

2017-07-26 15:10:11

2018-06-25 16:12:03

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- book
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 id115
 date2013-07-03
 titleMulti Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement
 authorJan Schaffner
 publisherSpringer
 descriptionWith the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.
 imageMulti Tenancy 80x120.jpg
 urlhttp://amzn.to/2uDwwwM
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 created2017-07-26 16:55:38
 modified2017-07-26 16:57:00
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 titleGain the Ability for Cloud Agility
 subtitleAssessing Enterprise Capacity to Embrace a Multi-Cloud Strategy
 summaryThe move to next-generation IT operating models, featuring public, private and hybrid clouds, has begun in earnest in many enterprises globally. The advantages of the cloud are robust. Yet, the move to the cloud is also creating new layers of complexity and concern for executive management teams and their IT organizations. This initiative aims to help enterprises to better manage future performance, cost and governance of computing.
 descriptionThe move to next-generation IT operating models, featuring public, private and hybrid clouds, has begun in earnest in many enterprises globally. A recent study by Intel found that Hybrid cloud adoption grew three times during 2016, from some 19 percent of organizations in 2015 to 57 percent at the end of 2016. The study also forecast that within 15 months, by mid-2018, some 80 percent of all IT budgets would be committed to cloud applications and solutions. The advantages of the cloud—from reduced cost and reliance on corporate data centers, to improved scale, flexibility, speed, integration, and access to expertise—are all making the cloud a seemingly inevitable IT strategy for business. Yet, the move to the cloud is also creating new layers of complexity and concern for executive management teams and their IT organizations. Indeed, the promise of greater business agility and cost efficiency is still a work in progress for most organizations. Regulatory compliance, security and business continuity concerns, the increasing complexity of managing multi-cloud and hybrid cloud environments, the challenge of maintaining control over costs and maximizing performance, and guarding against cloud vendor lock-in—all of these are issues that large and mid-sized organizations must confront as they make the transition to cloud-based IT models. Perfecting the Ability for Cloud Agility is a new research effort by the Business Performance Innovation Network, in partnership with DBM Cloud Systems, to understand where enterprises are in their journey to implement cloud strategies for managing applications, services and vast, growing repositories of data. It looks at the significant management issues and challenges enterprises face as they seek to effectively tap into the capacity of the cloud and its elastic compute power to keep pace with the growing demands on their businesses. Among the issues to be explored: <ul> <li>The anticipated advantages of the cloud and where companies are in realizing those benefits</li> <li>The impact of explosive data growth, and how companies can best manage storage costs, accessibility and performance in the cloud, including the challenges of keeping data close to the compute layer</li> <li>The degree to which companies are adopting multi-cloud strategies, why, and the complexities and challenges of implementing them</li> <li>Concerns about cloud vendor lock-in and how ompanies can protect themselves</li> <li>The need to move applications and data between cloud infrastructures and the problems, costs and complexities companies face in achieving this migration</li> <li>How companies are meeting the challenges of governance and compliance, particularly geo-sovereignty?</li> </ul> This study will engage IT and business leaders in a conversation about the benefits, requirements, priorities and pitfalls of building an effective multi-cloud and hybrid strategies to meet the demands of enterprises to control data management costs and increase the flexibility of their business. The BPI Network is conducting one-on-one conversations with enterprise executives in data-intensive industries, as well as domain experts, to identify current practices, problems and rewards being realized by cloud adoption and new data storage methods. This qualitative peer-driven research will be developed into a new strategic brief to help organizations chart the path forward.
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 descriptionOverview The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity. While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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 descriptionImproving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization. Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments. Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival. Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization. <a title="Download Report Now" href="../../../thought-leadership/studies/49/download-report-predictability-through-planning-agility">Download Report Now »</a> Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy. The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes. 
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Business Performance (BPI) Network

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Total Time: 0 ms Total Queries: 24 queries

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