Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more.
Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination.
Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
Virtualization is the standard in enterprise IT environments for consolidating servers, enhancing businstrators that reduces their Total Cost of Ownership (TCO) and helps speed the application development process. However, as improvements have been made with server technology, storage technoless continuity, and improving business agility. VMware provides an architecture for server adminiogy has become the bottleneck. Legacy storage solutions can’t keep pace with thousands of virtual machines demanding maximum IOPS along with high bandwidth at the lowest latency. Infinidat’s InfiniBox removes the storage bottleneck for VMware environments. The InfiniBox enterprise storage array delivers faster-than-all-flash performance, high availability, and capacity density at petabyte scale. This Infinidat white paper is written for VMware and storage administrators to introduce them to the integration capabilities of the InfiniBox for VMware.
TIBCO Data Virtualization is a proven approach used by four of the top five integrated energy companies to deliver more analytic data sooner from across upstream and downstream operations. Specific use cases described include: •? Offshore Platform Data Analytics •? Well Maintenance and Repair •? Cross Refinery Web Data Services •? SAP Master Data Quality If you are an energy company facing similar data and analytic challenges, consider TIBCO Data Virtualization.
TIBCO Data Virtualization é uma solução comprovada que é usada por quatro das cinco principais companhias de energia integradas para fornecer mais rapidamente um maior volume de dados analíticos nas operações de exploração e produção. Os casos de uso específicos descritos incluem:
• Análise de dados em plataformas offshore
• Manutenção e reparação de poços
• Serviços de dados web em refinarias
• SAP Master Data Quality
Se uma empresa de energia está enfrentando desafios relacionados com dados e suas análises, deve considerar o TIBCO Data Virtualization.
TIBCO Data Virtualization es una solución probada que es utilizada por cuatro de las cinco principales compañías de energía integradas para obtener más rápidamente una mayor cantidad de datos analíticos las operaciones de exploración y producción. Los casos de uso específicos que se describen incluyen:
• Analítica de Datos de Plataformas Marítimas
• Mantenimiento y Reparación de Pozos
• Servicios de Datos Web en Refinerías
• SAP Master Data Quality
Si una compañía de energía está enfrentando desafíos relacionados con los datos y la analítica similares, debe considerar TIBCO Data Virtualization.
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.
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.
Powerful IT doesn’t have to be complicated. Hyperconvergence puts your entire virtualized infrastructure and advanced data services into one integrated powerhouse. Deploy HCI on an intelligent fabric that can scale with your business and you can hyperconverge the entire IT stack. This guide will help you: Understand the basic tenets of hyperconvergence and the software-defined data center; Solve for common virtualization roadblocks; Identify 3 things modern organizations want from IT; Apply 7 hyperconverged tactics to your existing infrastructure now.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
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.
Mirazon improves service delivery and customer experience for cloud and virtualization services supported with fiber Internet. A scalable cost model provides the flexibility to serve clients large and small. Mirazon also provides faster response and problem resolution for off-site client backup and managed service solutions, and uses reliable, high-network quality Unified Communications applications to improve customer collaboration.
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.
Published By: Commvault
Published Date: Jul 06, 2016
It’s no secret that today’s unprecedented data growth, data center consolidation and server virtualization are wreaking havoc with conventional approaches to backup and recovery. Here are five strategies for modern data protection that will not only help solve your current data management challenges but also ensure that you’re poised to meet future demands.
Published By: Commvault
Published Date: Jul 06, 2016
Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution
The Time for the Hybrid WAN IT has gone through a significant evolution over the past decade. Virtualization has changed the entire face of the data center, the network edge has become predominantly wireless and consumer devices reign supreme. However, one of the few areas of IT that has yet to evolve is the corporate wide area network (WAN). Managing the WAN is something network managers have always struggled with because WAN speeds are typically an order of magnitude, or more, slower than local area networks (LANs).
IT has gone through a significant evolution over the past decade. Virtualization has changed the entire face of the data center, the network edge has become predominantly wireless and consumer devices reign supreme. However, one of the few areas of IT that has yet to evolve is the corporate wide area network (WAN). Managing the WAN is something network managers have always struggled with because WAN speeds are typically an order of magnitude, or more, slower than local area networks (LANs).
Virtualization has transformed the data center over the past decade. IT departments use virtualization to consolidate multiple server workloads onto a smaller number of more powerful servers. They use virtualization to scale existing applications by
adding more virtual machines to support them, and they deploy new applications without having to purchase additional servers to do so. They achieve greater resource utilization by balancing workloads across a large pool of servers in real time—and they respond more quickly to changes in workload or server availability by moving virtual machines between physical servers. Virtualized environments support private clouds on which application engineers can now provision their own virtual servers and networks in environments that expand and contract on demand.
Service virtualization offers a solution. 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.