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  • Why choose Citrix NetScaler over F5? Here are 9 reasons
    Source: Citrix Systems
    White Paper: Today's enterprises face new requirements for their datacenters and cloud architectures, this guide highlights the key challenges that Citrix NetScaler helps solve more effectively than F5. Learn More.
  • Taneja Group on Recovery Appliance
    Source: Oracle Corporation
    White Paper: Today's tidal wave of big data isn't just made up of loose unstructured documents - huge data growth is happening everywhere including in high-value structured datasets kept in databases like Oracle Database 12c. This data is any company's most valuable core data that powers most key business applications - and it's growing fast! According to Oracle, in 5 years (by 2020) most enterprises expect 50x data growth. As their scope and coverage grow, these key databases inherently become even more critical to our businesses. At the same time, the sheer number of database-driven applications and users is also multiplying - and they increasingly need to be online, globally, 24 x 7. Which all leads to the big burning question: How can we possibly protect all this critical data, data we depend on more and more even as it grows, all the time?
  • Oracle Storage Cloud Service: Benefits of Integrated Stack Begin to Pay Off
    Source: Oracle Corporation
    White Paper: This report focuses on Oracle Storage Cloud Service, a key area in Infrastructure-as-a-Service (IaaS). The coverage of storage technology is part of two of Constellation's business research themes, Data-to-Decisions and Technology Optimization and Innovation.
  • Oracle Backup and Recovery Strategies: Moving to Data-Protection-as-a-Service
    Source: Oracle Corporation
    White Paper: An organization's ability to recover from hardware or software failures, human error, security breaches and other disasters is a fundamental requirement of compliance and governance. Unfortunately, in many organizations, auditors focus on the existence of a process and not its efficacy. Frequently, for example, checks are made to ensure that backups are being performed, however it's common that little or no attention is paid to testing and periodically validating that backups were successful and data can be completely, accurately restored and recovered.

    Given the lack of rigor in many organizations' auditing and compliance processes, it falls on the database administrator and/or storage admin teams to ensure that proper steps are taken to minimize data loss (i.e. get as close to RPO zero as possible) and assure that an appropriate time to recover can be met on an SLA basis.
  • Oracle Enters the High-Growth All-Flash Array Market with an Oracle-Optimized Solution
    Source: Oracle Corporation
    White Paper: This IDC Flash summarizes Oracle's August 27, 2015, announcement of the new All Flash FS, heralding Oracle's entry into the rapidly growing all-flash array (AFA) market that IDC thinks will dominate primary storage solutions by 2019 and discusses the importance of the announcement for both Oracle and non-Oracle customers.
  • Oracle Leverages Its Database Expertise to Deliver a Truly Purpose-built Recovery Appliance
    Source: Oracle Corporation
    White Paper: By introducing the Oracle Zero Data Loss Recovery Appliance (Recovery Appliance) - a turnkey data protection appliance integrated into the Oracle ecosystem - Oracle has shed light on database-centric backup/recovery problems and helped database administrators (DBAs) solve them. The Recovery Appliance delivers Oracle data protection-as-a-service (DPaaS) throughout an enterprise or as a public cloud service, accelerates database performance by alleviating production database servers, and serves as a self-contained solution enabling companies to recover to levels of extreme granularity, which Oracle calls Recovery Point Objective "0," which aligns with the constant demand for less downtime and data loss seen in other ESG research. This showcase examines the vertical scenario of DBA-driven data protection and the horizontal interest among organizations in using turnkey data protection appliances. The outcome could be that the Recovery Appliance becomes a significant part of a modern data protection strategy.
  • A New Engineered Solution for Big Data with MapR and Samsung
    Source: Samsung
    White Paper: The MapR Converged Data Platform integrates Hadoop and Spark, real-time database capabilities, and global event streaming with big data enterprise storage, for developing and running innovative data applications. The MapR Platform not only provides enterprise-grade features such as high availability, disaster recovery, security and full data protection, but also allows Hadoop to be easily accessed as traditional network-attached storage (NAS) with read-write capabilities. The MapR Platform is a modern, read-write capable, NFS-mountable distributed file-system written in C++ that directly accesses storage hardware - dramatically improving performance while providing ease of administration. In this whitepaper, we focus on the benefits of PCIe-connected SSD for big data using the MapR Platform.
  • Quantitative Analysis of a Prefabricated vs. Traditional Data Center
    Source: APC by Schneider Electric
    White Paper: Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet's Cloud-based Analytics Platform, a vendor-neutral industry resource.
  • Practical Considerations for Implementing Prefabricated Data Centers
    Source: APC by Schneider Electric
    White Paper: Implementing prefabricated modular data centers results in well-understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them - from designing the data center, to preparing the site, to procuring the equipment, to installation - is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment.
  • The Drivers and Benefits of Edge Computing
    Source: APC by Schneider Electric
    White Paper: Internet use is trending towards bandwidth-intensive content and an increasing number of attached "things". At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available.
  • Guidance on What to Do with an Older UPS
    Source: APC by Schneider Electric
    White Paper: "When should an older UPS be replaced with a new one?" is a question that virtually all data center owners will have to answer. The answer is not always self evident and depends on several factors. This paper provides data center owners and managers a simple framework for answering the question in the context of their own circumstances and requirements. Three options are explained and compared: run to fail, upgrade, and buy new.
  • Preventive Maintenance Strategy for Data Centers
    Source: APC by Schneider Electric
    White Paper: In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices. This white paper describes the types of PM services that can help safeguard the uptime of data centers and IT equipment rooms. Various PM methodologies and approaches are discussed. Recommended practices are suggested.
  • The Unexpected Impact of Raising Data Center Temperatures
    Source: APC by Schneider Electric
    White Paper: Raising IT inlet temperatures is a common recommendation given to data center operators as a strategy to improve data center efficiency. While it is true that raising the temperature does result in more economizer hours, it does not always have a positive impact on the data center overall. In this paper, we provide a cost (capex & energy) analysis of a data center to demonstrate the importance of evaluating the data center holistically, inclusive of the IT equipment energy. The impact of raising temperatures on server failures is also discussed.
  • Ten Cooling Solutions to Support High-density Server Deployment
    Source: APC by Schneider Electric
    White Paper: High-density servers offer a significant performance per watt benefit. However, depending on the deployment, they can present a significant cooling challenge. Vendors are now designing servers that can demand over 40 kW of cooling per rack. With most data centers designed to cool an average of no more than 2 kW per rack, innovative strategies must be used for proper cooling of high-density equipment. This paper provides ten approaches for increasing cooling efficiency, cooling capacity, and power density in existing data centers.
  • Classification of Data Center Infrastructure Management (DCIM) Tools
    Source: APC by Schneider Electric
    White Paper: Data centers today lack a formal system for classifying software management tools. As a result, confusion exists regarding which management systems are necessary and which are optional for secure and efficient data center operation. This paper divides the realm of data center management tools into four distinct subsets and compares the primary and secondary functions of key subsystems within these subsets. With a classification system in place, data center professionals can begin to determine which physical infrastructure management tools they need - and don't need - to operate their data centers.

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