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.
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to
meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that
want the following:
? Extreme security: Firms that put data privacy and regulatory concerns at the top of their
requirements list will find that LinuxONE comes built in with best-in-class security features
such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework.
? Uncompromised data-serving capabilities: LinuxONE is designed for structured and
unstructured data consolidation and optimized for running modern relational and nonrelational
databases. Firms can gain deep and timely insights from a "single source of truth."
? Unique balanced system architecture: The nondegrading performance and scaling capabilities
of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it
suitable for workloads such as databases and systems of reco
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
Jusqu’à présent, les améliorations du datacenter se sont limitées à la réduction des coûts et à des solutions ponctuelles. La consolidation des serveurs, le Cloud computing, la virtualisation et l’implémentation de stockage Flash ont contribué à réduire la prolifération des serveurs, ainsi que les coûts de personnel et d’installations associés. Regroupant ressources de calcul, de stockage et de réseau au sein d’une même solution, les systèmes convergés se révèlent particulièrement efficaces dans la baisse des dépenses de personnel et de fonctionnement. Ces systèmes définis par logiciel (software-defined) exigent peu d’interventions humaines. Le code intégré dans le logiciel configure le matériel et automatise de nombreux processus autrefois manuels, ce qui réduit considérablement le risque d’erreurs humaines. Ensemble, ces technologies ont permis aux entreprises d’améliorer progressivement les processus et stratégies d’engagement client et de prestation de services.
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
Published By: Dell EMC
Published Date: Feb 23, 2017
Want to join your peers in database storage nirvana? Learn how many organizations have benefited from the Dell EMC All-Flash portfolio, powered by Intel® Xeon® processors—and how it can help you can solve the most common database storage challenges: Time-to-market, consolidation, and complexity.
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues
through a highly flexible one-stop shop for high-volume, robust, secure
information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high
availability, database migration, application consolidation, dynamic
warehousing, master data management (MDM), service
A hardware and software system specifically designed for the database software to optimize database operations, both for performance and administrative simplicity. An environment that supports workload consolidation, thereby reducing the number of physical servers required for the databases in question.
Benefits: Reduced cost and optimal performance.
XtremIO all-flash-arrays (AFAs) have redefined everything you know about SQL Server database infrastructures. Through a ground-breaking, fresh approach to storage design, XtremIO is uniquely engineered for SQL Server database requirements utilizing a powerful and vastly simplified scale-out performance architecture, with in-memory always-on compression, deduplication and space efficient copy services enabling application acceleration, consolidation and agility.
Published By: Red Hat
Published Date: Sep 25, 2014
Today’s mega IT trends – cloud computing, big data, mobile and social media –have dramatically altered how enterprises work, requiring datacenters to find new, more flexible and cost effective ways to meet computing demands.
For most datacenters, the path toward tomorrow's compute paradigm mandates an investment in standardization and consolidation as well as a more robust adoption of enterprise virtualization software, along with cloud system software to extend that virtualized infrastructure into a true private cloud environment.
Linux has emerged as one of the key elements to a modernization program for a datacenter.
Published By: CyrusOne
Published Date: Jul 05, 2016
Data centers help state and federal agencies reduce costs and improve operations. Every day, government agencies struggle to meet critical cost controls with lower operational expenses while fulfilling the Federal Data Center Consolidation Initiative’s (FDCCI) goal. All too often they are finding themselves constrained by their legacy in-house data centers and connectivity solutions that fail to deliver exceptional data center reliability and uptime.
Published By: BMC ESM
Published Date: Aug 20, 2009
Using the five step process outlined in this white paper, we were able to eliminate more than 2,000 servers from our own IT infrastructure, saving an estimated $10 million dollars in data center costs.
Published By: BMC ESM
Published Date: Aug 20, 2009
Can consolidating your data center yield long-term savings sufficient enough to warrant the project? There is no doubt. By right-sizing your data center, you can often recoup the project costs in months, not years.
Published By: BlackLine
Published Date: Aug 06, 2018
The biotechnology and pharmaceutical industry is among the most heavily regulated industries in the world, challenged by evolving regulations, complex compliance requirements and close regulatory scrutiny. At the same time, companies must address the market pressures of globalization, the use of predictive data analytics and digital technologies, and the industry’s ongoing consolidation. In this challenging environment, confidence in internal controls is crucial.
Efforts to reduce capital and operating expenditures by consolidating data centers can fail if applications and network are not optimized. Learn about a consolidation strategy that goes beyond centralizing servers, routers, software, and switches to solve multiple business problems.
Published By: SAP Inc.
Published Date: Jun 16, 2009
This SAP Insight explores the importance of master data and the barriers to achieving sound master data, describes the ideal master data management solution, and explains the value and benefits of effective management of master data.
As organizations consolidate backup and disaster recovery operations, WAN optimization plays a key role in mitigating risk without sacrificing performance. Discover a new architectural approach that extends the virtual edge of the data center to the branch for complete server and data consolidation without a performance compromise.
Published By: Riverbed
Published Date: May 18, 2012
Data center consolidation and migration projects are fraught with risk. By using Network Behavior Analysis (NBA) systems to get a handle on dependency information, usage information, change impact information, and post-change problem identification, IT organizations can significantly reduce risk by automating and improving the planning process and minimizing disruption during implementation. Download this informative Riverbed white paper to learn more.
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including:
Transport Network Equipment
Outside Fiber Plant
Reliability, Redundancy, and Protection
Services, Operation, Program Management, and Maintenance
Download our white paper to learn more."
Published By: BMC ASEAN
Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps.
The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
Published By: Arcserve
Published Date: Jul 26, 2010
View this flash demo that shows the Assess stage of the management lifecycle and how our customers are able to discover and determine where opportunities exist for consolidation and rationalization across physical, virtual, mainframe, distributed and cloud environments.
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