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Published By: IBM     Published Date: Apr 23, 2008
This white paper explains the why's and how's of data center transformation. It reveals the breakthrough IBM approach that supports dynamic, service oriented applications and consolidates systems, servers and networks for decreased operational costs on all fronts—freeing up funds for business innovation. Download white paper on new data center.
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it management, service management, datacenter, data center, network, networking, network management, ibm
    
IBM
Published By: IBM     Published Date: Aug 25, 2009
Reduce the long, after hours finger pointing through proactive performance monitoring all while facilitating collaboration and driving organizational efficiencies.
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data management tools, ibm, dba, manage database, application changes, proactive performance monitoring, after hours finger pointing, organizational efficiencies
    
IBM
Published By: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining
    
Vertica
Published By: Nimble Storage     Published Date: Oct 28, 2013
Collaboration and email applications such as Microsoft SQL Server, Exchange, and SharePoint are critical for business productivity. But care needs to be taken in selecting the right infrastructure for hosting these applications. Download this technical overview and learn how VMware, Cisco, and Nimble Storage have developed a pre-validated reference architecture that delivers industry-leading performance, data protection, and management simplicity.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: Nimble Storage     Published Date: Oct 28, 2013
Get this 36-page technical report and learn how to deploy 1,000 virtual desktops using VMware View 5.1 with VMware vSphere 5, Cisco UCS, and a single 3U Nimble Storage array. This validated solution provides efficient infrastructure, adaptive performance, rapid provisioning, linear scalability, and dramatically simplified management.
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nimble storage, data storage, backup, disaster recovery, flash memory, data protection, ssd, hybrid storage
    
Nimble Storage
Published By: Forcepoint     Published Date: Jun 06, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property without impacting an employee’s ability to do their job. The key is to gain visibility into user interactions with data and applications. Once this is achieved, you can apply a level of control based on the specific user’s risk and the sensitivity or value of the data. An organization’s data protection program must consider the human point — the intersection of users, data and networks. Enterprises must remain vigilant of data as it moves across hybrid environments and highlight the users who create, touch and move data who may pose the greatest risk to an organization.
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Forcepoint
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle CX
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Business users expect immediate access to data, all the time and without interruption. But reality does not always meet expectations. IT leaders must constantly perform intricate forensic work to unravel the maze of issues that impact data delivery to applications. This performance gap between the data and the application creates a bottleneck that impacts productivity and ultimately damages a business’ ability to operate effectively. We term this the “app-data gap.”
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Hewlett Packard Enterprise
Published By: IBM     Published Date: Apr 20, 2017
There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption. This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
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resource management, product data, remote services, asset management, cloud management, web applications, application scheduling, internet of things
    
IBM
Published By: IBM     Published Date: May 02, 2017
There's an old saying in information security: "We want our network to be like an M&M, with a hard crunchy outside and a soft chewy center." For today's digital business, this perimeter-based security model is ineffective against malicious insiders and targeted attacks. Security and risk (S&R) pros must eliminate the soft chewy center and make security ubiquitous throughout the digital business ecosystem — not just at the perimeter. In 2009, we developed a new information security model, called the Zero Trust Model, which has gained widespread acceptance and adoption. This report explains the vision and key concepts of the model. This is an update of a previously published report; Forrester reviews and updates it periodically for continued relevance and accuracy.
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resource management, product data, remote services, asset management, cloud management, web applications, application scheduling, internet of things
    
IBM
Published By: Scribe     Published Date: Oct 09, 2013
Today’s customers are empowered with information – if they want to know something, they can look it up in an instant. Having information they need at their fingertips is expected. Having information at the ready – whether your sales or service personnel are in the field or in the office – is no longer a competitive advantage, it’s expected and required. In this whitepaper, you will learn how Scribe’s customer data integration solutions and connectors let you put customer information where it needs to go quickly and easily. Don’t be that business who makes their customers wait for answers!
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scribe, scribe software, data, data integration, business systems integration, applications, integration platforms, cloud
    
Scribe
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Since the SQL Access Group created the Call Level Interface, ODBC has become the most ubiquitous method for connecting to relational database sources. ODBC was developed to allow programmers to access relational data in a uniform manner, regardless of the database backend. ODBC translates those generic commands into the specific esoteric commands of the database backend, so the quality of the driver directly determines the performance of the database connectivity layer. Learn more today!
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data direct, open database, sql, call level interface, odbc, drivers, rdbms, 64-bit applications
    
DataDirect Technologies
Published By: OnBase by Hyland     Published Date: May 16, 2017
With smartphones and tablets now standard-issue office gear,workers fully expect to have mobile access to critical data and business applications wherever and whenever the need arises.And it’s not just the average field worker or sales rep who stands to benefit from remote access. An IDG survey found that 61% of the executive managers saw value in accessing critical business data while offline via their mobile devices. This IDG whitepaper proves that offline access is the key to unlocking mobility’s promise.
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hyland, offline access, mobility, remote access, mobile access, business applications
    
OnBase by Hyland
Published By: SAGE     Published Date: May 11, 2009
It's a scary climate for small and mid-size businesses. Besides economic, many growing businesses also experience problems and frustrations when it comes to data management and business software integration. Sage has introduced an eBook, On the Hotseat: How Your Peers Are Tackling the Questions That Matter Now, that provides insight on how other businesses are handling these problems.
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sage, smb, small medium size business, software solutions, fortune magazine, roi, crm, customer relationship management
    
SAGE
Published By: Nativeflow     Published Date: Feb 25, 2014
Is your company’s intranet portal available to employees on the go? Do employees need mobile access to your back-office systems while ensuring data on mobile devices is secure? Do users want to use their own mobile devices to access corporate data and applications? Download the datasheet to get in depth approaches to addressing these challenges.
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intranet portal, on the go, mobile access, back-office systems, secure, ensure data, mobile devices, datasheet
    
Nativeflow
Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
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best practices, embedding analytics, technology, data, operational analytics
    
SAS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: F5 Networks Inc     Published Date: Jul 22, 2016
Traditional datacenter perimeters are dissolving as users access applications from a multitude of environments on a variety of devices. Secure, centralized application management throughout the hybrid cloud network will give an enterprise greater agility to succeed in today’s digital world. Read the whitepaper to learn how.
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f5 big-ip platform, performance, applications, application delivery, integrated systems
    
F5 Networks Inc
Published By: F5 Networks Inc     Published Date: Apr 18, 2012
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.
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data center consolidation, data center virtualization, data center strategies, centralizing services, dynamic data centers, data center transformation, data center network, application delivery
    
F5 Networks Inc
Published By: Oracle Corporation     Published Date: May 11, 2012
Most companies lack cross-value chain insight because the required data is stored in disconnected systems, such as supply chain, HR, procurement, financial, and CRM. Oracle Business Intelligence Applications provide the answer to this challenge.
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oracle, busines intelligence, business intelligence applications, bi applications, bi apps, 11g, cross-value, decision
    
Oracle Corporation
Published By: Oracle     Published Date: Jan 28, 2019
This report provides an overview of the Oracle Cloud at Customer portfolio (this includes Oracle Exadata Cloud at Customer, Oracle Big Data Cloud at Customer, Oracle SaaS at Customer and Oracle Cloud at Customer) and analyzes its capabilities to satisfy the need of enterprises for a next-generation computing platform. A next-generation computing platform allows enterprises to deploy workloads across the premises and the public cloud. For enterprises running their next-generation applications on a next-generation computing platform, Oracle Cloud at Customer does very well because of Oracle’s vision of the “chip-to-click” integrated technology stack (i.e., from the CPU silicon, across all OSI layers and all the way to the end-user mouse click). With Oracle using the same technology stack and machines both in its cloud and on premises, it has the highest degree of identicality across these offerings from all vendors that are part of Constellation Research’s Market Overview on next-genera
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
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