Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
With data and analytics the new competitive battleground, businesses that take advantage will be the leaders; those that do not will fall behind. But with data so distributed, gaining this advantage is a huge challenge. Unless you have data virtualization, a better, faster way to meet your analytic data needs. Read this white paper to learn who needs data virtualization and what kinds of benefits others have achieved.
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
According to Forrester Research, "Enterprise data virtualization has become critical to every organization in overcoming growing data challenges," with faster access to connected data, self-service, and agility among the many benefits seen.
In this report, Forrester analyzes past research and Forrester Wave reports, user need assessments, and vendor and expert interviews to evaluate the offerings of top vendors in enterprise data virtualization. In compiling the vendor rankings, the report reviews the current offering, strategy, and market presence for the 13 most significant vendors.
They discuss where TIBCO ranks in the evaluation and positions TIBCO Data Virtualization as a leader in enterprise data virtualization
Read The Forrester Wave™: Enterprise Data Virtualization, Q4 2017 report to learn more.
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT.
Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction.
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The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.
This white paper is a business briefing for C-Level Executives on how integrating a range of technologies - including unified communications, service oriented architecture, virtualization and cloud computing - can transform the productivity and profitability of large enterprises.
ASG's Business Service PortfolioT (BSPT) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
Virtualization is now mainstream. Enterprises continue to heavily invest in virtualization projects and while short term hardware and cost saving benefits are being achieved, few enterprises achieve anywhere close to the full potential of virtualization as they struggle with new problems like assuring performance and availability, preventing VM sprawl, and maximizing resource utilization
Virtualization continues to grow at 20 percent or more per year, but it is not expected to overtake existing physical architectures at least through 2010. This white paper examines the unique challenges of virtualization and offers tips for its successful management alongside IT's physical deployments.
So what lessons can operators learn from the past experience with server virtualization? Beware of merely shifting costs from capital to operating expenditures. Be selective in virtualizing the right resources and functions driven by the business need, and not the technology lure.
Software-defined Networking (SDN) im WAN bietet die Möglichkeit, durch höhere Betriebseffizienz, schnellere Erstellung von Services sowie differenzierte und personalisierte Netzwerk-Services die Kosten zu senken
Gleichzeitig wurden jedoch die Betriebskosten aufgrund komplexeren und arbeitsintensiveren Prozessen in die Höhe getrieben. Teilweise konnten diese Kosten durch vermehrte Integration der Server- und Netzwerkinfrastruktur und erweiterte Funktionalität der Software eingedämmt werden
Las redes definidas por software (SDN) en la WAN permiten reducir los costes gracias al aumento de la eficacia operativa, una mayor velocidad a la hora de crear servicios, y servicios de redes diferenciados y personalizados.
Sin embargo, los costes operativos se dispararon, ya que se necesitó una serie de procesos complejos y laboriosos. Con el tiempo, estos costes se controlaron gracias a una mayor integración de los servidores y la infraestructura de la red, así como a capacidades de software más avanzadas.
Service virtualization tools simulate software components so end-to-end testing can proceed even when dependent components are not available. That means teams can perform integration tests sooner and more often, accelerating the delivery of high-quality, thoroughly tested applications.
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what you need and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals.
Cisco DNA is the open, software-driven platform that turns vision into reality. Virtualization, automation, analytics, and cloud, all in one architecture.
Today’s idea-driven economy calls for a simpler, faster virtualization solution—one that can be managed by one IT generalist vs. numerous IT specialists. Enter HPE Hyper Converged 380, an advanced, virtualized system from Hewlett Packard Enterprise. Based on the HPE ProLiant DL380 Gen9 Server, this enterprise-grade VM vending machine enables you to quickly deploy VMs, simplify IT operations, and reduce overall costs like no other hyperconverged system available today.
Published By: Dell EMC
Published Date: Nov 03, 2016
IT managers are struggling to keep up with the “always available” demands of the business. Data growth and the nearly ubiquitous adoption of server virtualization among mid-market and enterprise organizations are increasing the cost and complexity of storage and data availability needs. This report documents ESG Lab testing of Dell EMC Storage SC Series with a focus on the value of enhanced Live Volume support that provides always-available access with great ease of use and economics.