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storage

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Published By: Silver Peak     Published Date: Dec 31, 9999
Offsite data replication is key to ensuring ongoing business operations, but it can be complex and costly, especially when performed over long distances. Join this discussion to discover how you can apply fast, cost effective and reliable remote replication that can: • Meet Recovery Point Objectives (RPO) by reducing remote replication times by up to 20X • Reduce bandwidth costs and extend replication distances • Lower storage costs while increasing storage flexibility • Leverage emerging cloud and virtualization technologies for better offsite disaster recovery Hear from the experts and users at Dell Compellent, Silver Peak and AlaskaUSA discuss essential data replication strategies and technologies.
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offsite data, remote replication, reliable, storage flexibility, cloud, virtualization, technology, offsite disaster recovery, security, knowledge management, storage, business technology
    
Silver Peak
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Jul 11, 2019
One of the largest consumer product goods conglomerates wanted their entire platform to be re-hosted, and also enhance its storage and stability. The LTI-developed Cloud Native app on Azure PaaS also helped drive the business value for sourcing through the integration of S2P transformation. Download full case study
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Larsen & Toubro Infotech(LTI)
Published By: DataCore     Published Date: Jul 10, 2019
With a software-based approach, IT organizations see a better return on their storage investment. DataCore’s software-defined storage provides improved resource utilization, seamless integration of new technologies, and reduced administrative time - all resulting in lower CAPEX and OPEX, yielding a superior TCO. A survey of 363 DataCore customers found that over half of them (55%) achieved positive ROI within the first year of deployment, and 21% were able to reach positive ROI in less than 6 months. Download this white paper to learn how software-defined storage can help reduce data center infrastructure costs, including guidelines to help you structure your TCO analysis comparison.
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software defined storage, virtualization, storage, storage costs, data center costs, infrastructure costs, tco, roi, total cost of ownership, return on investment, software-defined storage, storage infrastructure
    
DataCore
Published By: NetApp APAC     Published Date: Jul 08, 2019
All-flash storage is on a strong growth trajectory, but the industry is not swooning naively over the blazing fast I/O speeds. Most IT managers are talking a mature, step-by-step approach to all-flash adoption. Falling per-gigabyte prices are making the technology more commonplace. Solid state drives are no longer just for specialized, high-performing tasks. Before they leap, however, storage professionals want to understand the full business picture as they formulate a winning strategy for putting all-flash storage to use for more workloads. This paper offers insights for business success with all-flash storage based on IT Central Station reviews. Real users weigh in on what it takes to get the most out of the technology. It covers such aspects of flash storage as the need for simplicity and the importance of flexibility. The paper also looks at how to build a business case for all-flash and think through the implications of issues such as integration with existing infrastructure.
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NetApp APAC
Published By: NetApp APAC     Published Date: Jul 04, 2019
With the introduction of enterprise-grade all-flash arrays, conventional thinking about storage has been turned on its head. For example, a recent Gartner study found that all-flash storage pays for itself in just five to six months on average, the result of dramatic improvements in total cost of ownership (TCO).
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NetApp APAC
Published By: NetApp APAC     Published Date: Jul 04, 2019
"This report discusses NetApp’s AFF and FAS product lines, ONTAP 9 advanced functionality, NetApp SAN history and NetApp AFF A700s SAN IO performance. Our performance review uses recent benchmark results, ranks the A700s against a list of enterprise flash storage systems and shows where the NetApp AFF A700s falls on Silverton Consulting’s All-Flash Storage ChampionsChart™."
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NetApp APAC
Published By: NetApp APAC     Published Date: Jul 04, 2019
This IDC study provides an evaluation of 10 vendors that sell all-flash arrays (AFAs) for dense mixed enterprise workload consolidation that includes at least some mission-critical applications. "All-flash arrays are dominating primary storage spend in the enterprise, driving over 80% of that revenue in 2017," said Eric Burgener, research director, Storage. "Today's leading AFAs offer all the performance, capacity scalability, enterprise-class functionality, and datacenter integration capabilities needed to support dense mixed enterprise workload consolidation. More and more IT shops are recognizing this and committing to 'all flash for primary storage' strategies."
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NetApp APAC
Published By: Pure Storage     Published Date: Jul 03, 2019
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.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Splunk® has become a mission critical application. Thousands of organizations are gaining insight from their machine data and transaction logs using Splunk, and many more are planning to deploy Splunk. No matter what stage you’re in, having guidelines to follow can help improve the Splunk experience. Since a mission critical data application deserves a mission critical data platform, Pure Storage® built the solution on the Pure FlashStack™ converged infrastructure solution. FlashStack is a joint offering from Cisco® and Pure Storage. This paper is intended to provide a framework for designing and sizing a high-performance, scalable, and resilient Splunk platform. Pure Storage is a leading all-flash array provider focused on reducing storage complexity while improving Splunk performance, resiliency, and efficiency. To assure that your Splunk platform is sized appropriately, Pure Storage tested Splunk Enterprise on Pure’s FlashStack platform. The top takeaways from these efforts are tha
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
For thousands of organizations, Splunk® has become mission-critical. But it’s still a very demanding workload. Pure Storage solutions dramatically improve Splunk Enterprise deployments by accelerating data ingest, indexing, search, and reporting capabilities – giving businesses the speed and intelligence to make faster, more informed decisions.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Pure FlashBlade™ solution from Pure Storage to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
University of California-Berkeley researchers employ the latest tools built on Apache Spark to accelerate DNA sequencing in pursuit of precision medicine. Adding Pure FlashBlade™ from Pure Storage® has significantly reduced the time needed to sequence data-intensive DNA samples and analyze results.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Tapping into the power of big data can be daunting. So we’ve looked at the strategic areas your organization can focus on. Our overview of emerging trends revealed three challenges of big data, and opportunities therein:
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become one of the most rapidly adopted open source platforms in history. Demand is predicted to grow at a compound annual rate of 67% per year between 2017 and 2020, with the cumulative Spark market valued at more than $9 billion during that period, according to the research firm MarketAnalysis.com.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help. According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive. Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
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Pure Storage
Published By: Mimecast     Published Date: Jun 28, 2019
There is a major shift happening in the world of enterprise IT systems. Many organizations are trading on-premises systems for cloud-based solutions, a move that brings virtually limitless scalability, storage and accessibility – usually at a lower cost and with reduced complexity. Global adoption of cloud enterprise productivity platforms hit an all-time high of 81% in 2018, up from 24% in 2014.* If you’re a longtime Microsoft customer, a logical first step in making the journey from on-premises to the cloud is to move your email to Microsoft Office 365™. You aren’t alone. Office 365 is Microsoft’s fastest-growing business, ever. According to Gartner, 84% of IT decision makers indicated that they are currently using or planning to use Office 365 in the next six months.
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Mimecast
Published By: Gigaom     Published Date: Jun 25, 2019
Join this webinar to learn how the right data management practices and intelligent archives can boost the value of data and make it reusable for new applications, becoming a tool to improve and simplify the digital transformation journey of your organization.
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aparavi, digital transformation, data management, data compliance, data storage, data liability, data regulations, data growth, infrastructure, compliance, security policies, data loss prevention
    
Gigaom
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
The cloud is ubiquitous. Whether we think about it consciously or not, almost all of us are using cloud services. That could be a music service such as Spotify, storage such as Dropbox, communications via Gmail, or a software-as-a-service application such as Salesforce. Cloud services touch all of our lives.
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Group M_IBM Q3'19
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