Published By: Veeam '18
Published Date: May 01, 2019
VMware Cloud su Amazon Web Services (AWS) è un servizio on-demand che ti consente di eseguire applicazioni in ambienti cloud basati su vSphere con l’accesso a un’ampia gamma di servizi AWS. Supportato dalla VMware Cloud Foundation, questo servizio integra vSphere, vSAN e NSX insieme alla gestione di VMware vCenter ed è ottimizzato per l’esecuzione su un’infrastruttura AWS, dedicata, elastica e bare metal. Grazie a VMware Cloud su AWS, i team IT possono gestire le risorse basate sul cloud con strumenti VMware a loro familiari. Questa panoramica della soluzione offre una descrizione di come il supporto Veeam su AWS consente ai clienti di accelerare l’adozione delle implementazioni di cloud ibrido con la possibilità di copiare, replicare o migrare i carichi di lavoro sul cloud AWS in modo semplice ed efficiente e sfruttare gli investimenti esistenti nelle tecnologie Software-Defined Data Center (SDDC) di VMware.
ffective communications are the foundation for any good team, and the transportation
and logistics (T&L) sector is no exception. Charged with managing the warehousing,
inventory, and movement of freight across the supply chain — both through
internal and external distribution networks — T&L professionals rely on high levels of team
collaboration to get the job done right.
By helping companies leverage the knowledge, talents, and insights of their people, effective
team communications ensures that customers get their deliveries when, how, and where
they want them. Meeting those expectations in today’s fast-paced, demanding distribution
environment requires reliable, clear voice and data logistics communications that start at the
warehouse and end at the point of delivery.
In this white paper, we explore the key challenges that T&L companies are facing in today’s
business environment and hear how instant push-to-talk and advanced video surveillance can
help them develop streamlined suppl
Published By: BMC ASEAN
Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2
The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
Published By: Riverbed
Published Date: Apr 24, 2015
To better serve business demands for information everywhere, enterprises must develop new strategies for optimizing multiple kinds of networks. Read this white paper to learn more about accelerating delivery of data, increasing employee productivity, and creating optimal user experiences by powering the hybrid enterprise.
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set:
• Enterprise-class relational database query and management system
• Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools
• Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications.
Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios.
Since starting to work with this technolog
Increase utilization, decrease energy costs with data center virtualization In the past, IT departments have responded to demands for new services and better performance by adding more hardware, resulting in underutilized technology silos and server sprawl. Today, many organizations are turning to virtualization technologies that facilitate consolidation and increased utilization. In short, virtualization brings the ability to pool, share and dynamically reallocate data center resources – and helps fulfill the promise of higher utilization and lower energy consumption and lower costs.Join us and learn why HP is well prepared to help you assess and address your needs. Find out what key virtualization partners -- such as VMware, Microsoft and Citrix – bring to the table and how HP can help you leverage their technology and expertise.
Increasing power demands and space limitations in the data center have begun to transition server virtualization technologies from luxuries to necessities. Server virtualization provides a path toward server consolidation that results in significant power and space savings, while also offering high availability and system portability. Today, vendors are building hardware and software platforms that can deliver virtualization solutions at near-native performance.
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
The demand for (and benefits of) web-based interfaces combined with an increasingly mobile and distributed workforce has exposed inefficiencies inherent in the browser, the network and its protocols, and the data center. These inefficiencies create performance problems for applications that continue to be magnified by emerging technologies like Web 2.0 and SOA. This White Paper details how F5's approach to Application Delivery Networking eliminates the bottlenecks inherent in browsers, in the network, and in the data.
To accommodate increasingly dense technology environments, increasingly critical business applications, and increasingly stringent service level demands, data centers are typically engineered to deliver the highest-affordable availability levels facility-wide. Within this monolithic design approach, the same levels of mechanical, electrical, and IT infrastructure are installed to support systems and applications regardless of their criticality or business risk if unplanned downtime occurs. Typically, high redundancy designs are deployed in order to provide for all eventualities. The result, in many instances, is to unnecessarily drive up both upfront construction or retro-fitting costs and ongoing operating expenses.
As the adoption of mobile devices continues to expand, IT organizations are challenged to keep up with the mobile demands of today’s fast-paced workforce and at the same time secure critical business data.
Information technology is undergoing rapid change as organizations of all types begin to embrace the idea of
moving computing infrastructure from on-premises to the cloud. It is easy to understand why the cloud has taken
off faster than any technology phenomenon in recent memory. The cloud has the potential to reduce total cost of
ownership (TCO) while enabling quicker responses to fast-moving markets and ever-changing customer needs.
“Being able to flex your compute resources based on changes in volume and customer demand increases agility,
making going to the cloud a very attractive proposition for our customers,” says Brian Johnston, chief technology
officer for QTS in Overland Park, Kansas, a provider of data center solutions and fully managed services.
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets.
Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams.
Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
In this e-book, you'll learn how to:
-Increase hiring velocity for high-demand talent
-Create stronger recruiting teams
-Find and engage the right agencies
The six data points in this e-book are critical to unlocking the full potential of direct hire agencies in order to land those highly sought-after job candidates. Commanding this data will also position your recruiting teams to become strategic advisors to your company and its business units.
Body cam technology produces terabytes of data to manage and maintain.
It’s no secret that video is the new paradigm in law enforcement; but, with video comes the need to log, manage, store, and secure thousands of hours of content?—?and that makes HUGE demands on your data center infrastructure. In this white paper, we detail infrastructure challenges faced by state and local agencies and how they are overcoming them with powerful infrastructure solutions.
A velocidade e o volume de entrada de dados estão gerando demandas esmagadoras sobre os data marts tradicionais, os data warehouses e os sistemas analíticos. Uma solução em nuvem de data warehouse tradicional pode ajudar os clientes a suprirem tais demandas? Muitos clientes estão comprovando o valor dos data warehouses na nuvem através dos ambientes de testes ou de inovação, dos data marts na área de negócios e backup de banco de dados.
Whether you’re scanning products, medicine, parts or shipping labels, your data capture needs are dramatically shifting. Traceability demands more data in smaller spaces; mobile payments are on the rise; scanning multiple barcodes consumes valuable time, and there’s less tolerance for inefficiency – capabilities only imaging technology can ful?ll.
With the pace of human resources technology solution development progressing quickly, HR leaders need to gain a solid understanding of the HR system options available. This tool is designed to help HR leaders build a business case for investing in next-generation HR systems to meet the growing HR demands of your organization. Demands include interfacing or integrating data, incorporating social and mobile technologies, and providing an employee experience that grows from the experience given to candidates.
When it comes to time, there never seems to be enough. Just ask any payroll professional. Time constraints are nothing new, but what is new is how payroll professionals are tackling the challenge. They are discovering how to strategically leverage today’s best-of-breed human capital management (HCM) technology to better manage the expectations and demands placed on today’s payroll teams to achieve greater business results. By investing in an HCM solution as an integral part of their workforce management strategy, businesses can align and create efficiencies within three core areas of payroll — compliance, processes, and data visibility. This will free up time for an already over-burdened payroll team that can add value, deliver on actionable real-time data, and execute on company-driven projects that can impact organizational goals and improve bottom-line results.
IT organizations are facing new challenges as a result of digital transformation,
widespread cloud and SaaS adoption, mobile proliferation and pervasive IoT
deployments. They must build and operate their internal data centers to deliver
high availability for mission critical applications, rapidly onboard new applications
and scale capacity on demand – all within the mandate to be cost competitive
with infrastructure as a service providers (IaaS) like AWS and Azure. They are
architecting and building new Intent-Based Data Centers to deliver private cloud
services to their internal and external customers.