Organizations are running their business on exponentially more data, created by more users, from different devices, and through different IT services and digital processes. While some data growth is fueled by new applications, it also arrives increasingly from non-traditional IT sources, including digital media, machines, and edge devices. Edge IoT devices are generating a massive amount of data that must be managed, monitored, stored, and analyzed. Deciding where to perform each of these functions is critical to supporting new data-driven global business services and processes. This blueprint from HPE Pointnext, the Services division of HPE, is based on real-world experiences from many customers across a range of industries on how to leverage flash storage modernization.
This research paper argues that it is up to the CFO to work with IT to modernize the business before it is too late. Enterprises need greater transparency into the streams of data illuminating market opportunities and market risks. They need systems that scale in step with the organization’s growth and technologies assisting a more intimate customer relationship. This paper highlights five reasons why the CFO must lead the charge to modernize their organizations now—or risk being outrun by the competition.
In some cases, adopting cloud IoT platform may make more sense where required processes, communication costs and cloud costs meet sufficient total cost of ownership against deploying MDC. Additionally, in situations that an end-user organization already has a secure room or a modular data center solution where infrastructure can be housed and/or the amount of infrastructure involved may be too small to benefit from power/cooling advantages of being housed in an MDC, the organization may not see a need for an MDC. An MDC is nothing more than a smaller form of a modular data center, and a number of providers have entered the modular data center solutions space in the past. These modular data center solution providers came into the market with high expectations for growth and ROI only to find that high sales were not forthcoming due to limited use cases, so many exited the space.
APIs are a critical component of digital business—empowering developers to build apps across any channel and enabling partners to incorporate your data or services into their offerings. By making it easier for other organizations to access your services, you create value and growth opportunities.
The Tenth Annual State of the Network Global Study
focuses a lens on the network team’s role in security
investigations. Results indicate that 88 percent of
network teams are now spending time on security
issues. In fact, out of 1,035 respondents, nearly
3 out of 4 spend up to 10 hours per week working
exclusively on these types of problems - in addition
to managing network upgrades, SDN, cloud, and big
When it comes to technology adoption, both cloud and
100 GbE deployment continue to grow aggressively.
VoIP adoption is closing in on 60 percent and
software-defined networking (SDN) is projected to
cross the halfway mark, indicating compounding
network complexity amidst the ongoing struggle to
ID security threats.
With growth comes change and some trends
identified in this year’s survey include a rise in email
and browser-based malware attacks (63 percent)
and an increase in sophistication (52 percent). Nearly
1 in 3 also report a surge in DDoS attacks, signaling
Attracting Investors Webinar: With more than $18 billion in M&A activity in the first half of last year alone, the colocation industry is riding the bubble of rapid growth. Colocation data center providers are being evaluated by a wide range of investors, with varying experience and perspectives. Understanding the evaluation criteria is a critical competency for attracting the right type of investor and investment to your colocation business. Steve Wallage, Managing Director of Broad Group Consulting, has led more than 30 due diligence projects and will discuss specific areas of focus including assessment of financials, management, customers, business plan, competitive positioning and future strategy and exit.
By attending this presentation colocation providers will:
• Hear how investors are assessing colocation providers
• Understand different types of investor strategy and positioning
• Explore actual case studies –success stories as well as examples where investors walked away
• Walk away with a greater understanding of how to not only attract investment, but the right type of investor to propel their business growth
Data center designs have become much more safe, reliable, & efficient. However, we must continue to adopt new designs & emerging technologies to stay ahead of the pace of change. In this webinar, Steve Wallage, Managing Director of BroadGroup Consulting, shares his expertise to help global colocation providers:
1. Learn what changes colocation providers can make to adapt to the marketplace
2. Understand the future requirements of hyperscale cloud players
3. Hear of successful projects around the world and why they succeeded
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you:
1. Overcome the worldwide shortage of experienced data center professionals
2. Understand how out-tasking data center operations can benefit you & your clients
3. Identify key characteristics of a strong data center operations partner
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
Traditional approaches to handling file data growth have proven costly, hard to manage and difficult to scale effectively. DFFS is designed to go beyond the limitations of traditional file systems with a flexible architecture.
Published By: Clustrix
Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring.
If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions.
This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
Today, 75% of Twitter traffic and 65% of Salesforce.com traffic comes through APIs. But APIs are not just for the social Web. According to ProgrammableWeb.com, the number of open APIs being offered publicly over the Internet now exceeds 2000—up from just 32 in 2005. Opening APIs up to outside developers enables many technology start-ups to become platforms, by fostering developer communities tied to their core data or application resources. This translates into new reach (think Twitter’s rapid growth), revenue (think Salesforce.com’s AppExchange) or end user retention (think Facebook).
Published By: Carbonite
Published Date: Apr 09, 2018
Global data deduplication provides important benefits over traditional deduplication processes because it removes redundant data through entire enterprises, not just single devices. Global deduplication increases the data deduplication ratio—the size of the original data measured against the size of the data store after redundancies are removed.
This helps reduce the amount of storage required at a time when businesses face exponential storage growth.
Chief benefits of global deduplication include:
Reductions in storage of up to 60%
The most optimal deduplication ratio
Massive reductions in backup-related WAN traffic
By shrinking storage capacity needs, data deduplication can cut storage costs quickly. At the same time, businesses today need to access and utilize their data in real time, making the most recent and relevant information available. By eliminating redundant data, deduplication technology makes it simpler for data to be managed across various b
Application release automation (ARA) tools enable best practices in deploying and promoting applicationrelated artifacts, properties, configurations and even data across an application lifecycle in a safe, predictable and repeatable manner. Gartner reports that using an ARA tool is key to enabling DevOps and achieving continuous delivery.
Wikipedia also defines five dimensions of scalability that can apply to ARA tools:
• Administrative scalability
• Functional scalability
• Geographic scalability
• Load scalability
• Generational scalability
This white paper will explain how each of these criteria is relevant when choosing an ARA product that is capable of scaling along with the growth of your enterprise.
Published By: Cognizant
Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone.
AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction.
This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
New researchconducted by Intapp found that, while Mid Law firms attest that data-driven strategies are highly important in all areas of the client lifecycle, a significant gap exists as to how or whether they are currently deploying enabling technologies such as intelligent automation. Read the ebook to discover the full breadth of this gap, and learn best practices for how you can use technology to drive growth in the client-empowered era.
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.