Published By: Gigamon
Published Date: Sep 03, 2019
Dataflow is increasing at a rate unseen in history. Network managers are tasked with enabling massive quantities of
new data in a secure and highly available fashion, all while facilitating access to new types of form factors and data
stores. This challenge is often met with layers of networking
hardware and tools resulting in a complex mess, or even worse, a
culture of network protectionism that inhibits business innovation.
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand: the way AWS services operate, including how customers can address security and encrypt their content, the geographic locations where customers can choose to store content, and the respective roles the customer and AWS each play in managing and securing content stored on AWS services.
Published By: Attivio
Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
Published By: Extensis
Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
All those employees who access email, financial systems, human resources, and other core corporate applications; Replay for Exchange continuously protects and monitors the health of your Exchange data stores and allows administrators to quickly search, recover, and analyze mailbox content. With Replay for Exchange you can restore individual email messages, folders, or mailboxes to a live Exchange server or directly to a PST, thereby solving some of your most costly and time consuming challenges. Take advantage of these Free Trial Offer!!
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem.
Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
HPEprovides an All-flashenterprise storage solutionthat helps its customersmove theirenterprisesto the next level of productivity and data protection inacost-effective manner. HPEcommissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI)enterprises may realize by deploying the HPE 3PARStoreServAll-flash Storagesolution. The purpose ofthis study is to provide readers with a framework to evaluate the potential financial impact of 3PAR All-flash Storageon theirorganizations.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
EMC to 3PAR Online Import Utility leverages storage federation and Peer Motion to migrate data from EMC Clariion CX4 and VNX systems to HP 3PAR StoreServ. In this ChalkTalk, HPStorageGuy Calvin Zito gives an overview.
Published By: Dell EMC
Published Date: May 23, 2017
The rapid growth of unstructured data poses significant challenges to store, manage, secure and protect data across virtually every industry segment. You need a way to manage your data: simply, securely and cost-effectively.
Published By: HPE Intel
Published Date: Mar 15, 2016
Accelerate your journey to an all-flash data center with Hewlett Packard Enterprise Storage Consulting solutions.
Slash costs and double performance with HPE 3PAR StoreServ All-flash arrays. Now you no longer need to choose which apps to take to flash; take them all and you won’t regret it. We deliver maximum performance, highest availability, Tier-1 data services, ease of management, and robust data protection at the lowest total cost of ownership (TCO) on the market when you engage with HPE Storage Consulting to provide an end-to-end all-flash solution.
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home
directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as
well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data
centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file,
and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support
into the heart of the system architecture
Published By: Cisco EMEA
Published Date: Mar 26, 2019
Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally. As a result, customers are asking more questions during the buying cycle about how their data is captured, used, transferred, shared, stored, and destroyed. In last year’s study (Cisco 2018 Privacy Maturity Benchmark Study), Cisco introduced data and insights regarding how these privacy concerns were negatively impacting the buying cycle and timelines. This year’s research updates those findings and explores the benefits associated with privacy investment.
Cisco’s Data Privacy Benchmark Study utilizes data from Cisco’s Annual Cybersecurity Benchma
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
Protecting your business-critical applications without impacting performance is proving ever more challenging in the face of unrelenting data growth, stringent recovery service level agreements (SLAs) and increasingly virtualized environments. Traditional approaches to data protection are unable to cost-effectively deliver the end-to-end availability and protection that your applications and hypervisors demand. A faster, easier, more efficient, and reliable way to protect data is needed.
Handle more orders with faster response times, today and tomorrow. Databases are often the driving force behind a company’s mission-critical work. They power online stores, confidential records, and customer management systems, so a solution that sustains high levels of database work can be a big advantage as your company grows. Download this summary from Dell EMC and Intel® to learn more.
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Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
Organizations looking to implement desktop and app virtualization traditionally play a guessing game where storage is concerned. When considering local and physical storage, determining what would be necessary for the virtualized world is difficult and can be overwhelming. This is especially true when determining how virtualizing desktops will impact the storage architecture. Organizations risk over sizing their environment thereby wasting CapEx, or under-sizing and potentially ruining the user experience. Software-defined storage solutions, such as VMware Virtual SAN, provide simplified solutions with high performance data stores that offer fine-grained scalability with linearly-predictable performance as demand grows. Dell’s validated and certified desktop virtualization solutions incorporate vSphere and Virtual SAN, and provide a complete end-to-end solution that allows companies to grow and expand without large capital investments in SAN hardware.
Dell Virtual SAN Ready Nodes with Horizon abstract and aggregate compute and memory resources into logical pools of compute capacity, while Virtual SAN pools server-attached storage to create a high-performance, shared datastore for virtual machines.
Published By: Oracle CX
Published Date: Oct 19, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty.
The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors:
Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression.
Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It