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data scaling

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Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Application release automation (ARA) tools enable best practices in deploying and promoting applicationrelated artifacts, properties, configurations and even data across an application lifecycle in a safe, predictable and repeatable manner. Gartner reports that using an ARA tool is key to enabling DevOps and achieving continuous delivery. Wikipedia also defines five dimensions of scalability that can apply to ARA tools: • Administrative scalability • Functional scalability • Geographic scalability • Load scalability • Generational scalability This white paper will explain how each of these criteria is relevant when choosing an ARA product that is capable of scaling along with the growth of your enterprise.
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CA Technologies_Business_Automation
Published By: Adverity     Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation. Scaling your business with Marketing Intelligence Building a data strategy to stay ahead of the curve Mastering the end-to-end data management process Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it! Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
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marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: IBM     Published Date: Jun 29, 2018
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
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IBM
Published By: INT_AstuteIT_ABM_DoubleTouch_BENELUX     Published Date: Feb 23, 2018
In a world of perpetual innovations in technology, brands are continually stuck between slowing down and reinventing the wheel of martech which keeps them going, and staying put with delays in data activation. But they don’t have to settle for either of these approaches. Now is the time for enterprises to reclaim their brand’s independence in agility, innovation and customer obsession, removing all traces of vendor lock-in, slow-down or strategic compromise with a comprehensive, centralized approach to marketing technology which goes beyond DMP: Intelligent Orchestration.
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data, brand, scaling, customer, marketing
    
INT_AstuteIT_ABM_DoubleTouch_BENELUX
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: Scalebase     Published Date: Mar 08, 2013
Technology analyst firm 451 Research offers a brief overview of ScaleBase’s Data Traffic Manager software for dramatic scaling of MySQL databases beyond the capabilities of MySQL 5.6.
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shard, cluster, high availability, failover, mariadb, mysql, read/write, scalability, capacity planning, scalebase, 451 group overview, research, data center
    
Scalebase
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
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it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published By: Oracle     Published Date: Feb 21, 2018
Why should I move my database to the cloud? Have you considered how you will support • Growing demand for data delivery securely from anywhere? • Managing new data whilst maintaining old? • Rapidly scaling your infrastructure as your business needs? Oracle Database Cloud is the #1 data-management solution in the cloud to empower you to deliver more value at scale, faster.
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Oracle
Published By: Red Hat, Inc.     Published Date: Jul 12, 2012
Recently, enterprises have seen enormous gains in scalability, flexibility, and affordability as they migrated from proprietary, monolithic server architectures to architectures that are virtualized, open source, standardized, and commoditized.
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scalability, flexibility, affordability, performance, ease-of-use, reduced acqisition costs, reduced maintenance costs, red hat storage server, cloud, cloud computing, public cloud, private cloud, open cloud, data center, amazon web serivices, aws, unified file, unified object, n-way local synchronous replication, elastic volume management
    
Red Hat, Inc.
Published By: Anaplan     Published Date: Mar 29, 2018
Incentive compensation represents the potential of delivering optimal sales results. But with up to 60% of sales reps’ income coming from incentive comp, it is crucial to get this right. Our study data has shown that ineffective compensation structures can lead to disengaged reps, high turnover, money left on the table, and low margins. The way we have designed and managed incentive compensation plans in the past may inhibit the sales force and prevent the business from scaling at the needed rate. Modeling and planning quickly become too complex for a spreadsheet-driven exercise.
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optimization, compensation, structures, anaplan, data
    
Anaplan
Published By: CDW     Published Date: Sep 29, 2015
This is a whitepaper about disruption in the data center and the rise of server virtualization.
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enterprise, datacenter, virtualization, server, platform, scaling, san, storage, networks, disruption, transformation
    
CDW
Published By: Citrix and Cisco     Published Date: Nov 10, 2017
It’s time to stop treading water. Your business runs on applications. But the demands placed on your data center make managing them more and more difficult. Without a simple solution to automate management, scaling, and delivery, you’re sinking fast.
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sdn, citrix, cisco, application integration, aci, netscaler
    
Citrix and Cisco
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
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.net, data direct, microsoft .net architecture, scaling, effective architectural design, virtual machine, intermediate language, component object model, com, windows operating system, com-based code, cpu utilization, optimize database connectivity
    
DataDirect Technologies
Published By: Schneider Electric     Published Date: Jun 04, 2014
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a “total cost of ownership” (TCO) savings of 30% compared to traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.
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schneider, electric, data, center, scalable, integrated, power, cooling, capacity, data center
    
Schneider Electric
Published By: Exablox     Published Date: Jan 27, 2015
When it comes to the increasingly complex task of managing data storage, many small and midsize organizations face even greater challenges than large, global enterprises. Small and midsize companies have ever-increasing volumes of information to manage and secure, and they are confronting a number of difficulties when it comes to storage. Among the biggest hurdles: ›› Scaling storage as the business grows rapidly ›› Meeting the rising expense of data storage capacity ›› Dealing with the complexity of management and architecture ›› Devoting precious staff time managing storage and data backup Whereas larger organizations have significant IT budgets and staff to handle storage-related challenges, small and midsize companies lack the IT resources to dedicate to storage management. Fortunately, there are new approaches to data storage on the market that can help such companies address their data storage needs without requiring dedicated storage management resources, while at the same ti
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scaling storage, data storage capacity, data backup, data protection, data management, exablox, oneblox
    
Exablox
Published By: IBM     Published Date: Jan 05, 2015
As the number of connected devices grows from billions to hundreds of billions, and as governments and corporations race to take control of devices and data, we need to save the Internet of Things (IoT). Successfully scaling the IoT means executives must rethink the technology strategy.
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it strategy, modern computing, iot, cost of computing
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml
    
IBM
Published By: GridGain     Published Date: Mar 10, 2015
SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology. Download now to learn why.
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gridgain, saas, saas infrastrutcture, hosted applications, applications, software as a service, infrastructure
    
GridGain
Published By: Altiscale     Published Date: Mar 30, 2015
Implementing and scaling Hadoop to analyze large quantities of data is enormously complicated. Unforeseen, very challenging problems are to be expected. However, if you can learn to recognize the problems before a fire starts, you can prevent your hair (and your Hadoop implementation) from igniting. From the Hadoop experts at Altiscale, here are some of the danger signs and problems you should watch out for, as well as real-world lessons learned for heading them off.
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implementing and scaling, data analysis, hadoop scaling
    
Altiscale
Published By: IBM     Published Date: Dec 18, 2013
The IBM DB2 pureScale feature is designed to address your current and future business needs for continuous availability. This white paper introduces DB2 pureScale—what it looks like, where it comes from, and how it allows you to scale out your database on a set of servers in an active-active configuration that combines high availability with truly transparent application scaling.
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ibm, ibm db2, purescale, availability, database, data center, servers, configuration, scaling, application scaling, applications, transparency
    
IBM
Published By: Microsoft Azure     Published Date: Apr 25, 2018
As you develop any app, database performance optimization is a critical consideration. Azure SQL Database, the intelligent cloud database from Microsoft, is designed to simplify your work as a developer and adapt to your workload so you’re not left scrambling in pivotal moments. Read Intelligent Performance Optimization with Azure SQL Database for actionable ways to maximize the performance and optimization of your database at minimal cost. In this e-book, you’ll explore three perspectives on database performance: Dynamic resource scaling Database performance features Intelligent performance monitoring and tuning Get this free e-book today to ensure that your database has the resources it needs, makes the most of those resources, and constantly optimizes in the background for the best possible SQL performance.
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Microsoft Azure
Published By: Dell EMC     Published Date: Dec 06, 2017
Support to 50% more customer requests with up to 70% faster response times by choosing the Dell EMC™ VxRail™ P470F over the HPE Hyper Converged 380. Process more customer requests, boost staff productivity, and keep business running smoothly. Keep your users productive and your customers happy with a great database experience Expand you business with confidence knowing you can keep user experience consistently positive with near-linear performance scaling at sub-10ms latency. Spend less time and effort tuning your environment and scaling up its workload, relying on a high-performing, preconfigured vSAN datastore rather than having to define custom datastores to achieve comparable performance. Intel Inside®. New Possibilities Outside. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: Dell EMC     Published Date: Feb 08, 2018
Support to 50% more customer requests with up to 70% faster response times by choosing the Dell EMC™ VxRail™ P470F over the HPE Hyper Converged 380. Process more customer requests, boost staff productivity, and keep business running smoothly. Keep your users productive and your customers happy with a great database experience. Expand your business confidence knowing you can keep your user experience consistently positive with near-linear performance scaling at sub-10ms latency. Spend less time and effort tuning your environment and scaling up its workload, relying on a high-performing, preconfigured vSAN datastore rather than having to define custom datastores to achieve comparable performance. Intel Inside®. New Possibilities Outside. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: Commvault ABM Oct     Published Date: Nov 13, 2017
It appears that agility and efficiency are coveted by basically everyone involved in protecting and managing data- especially those people struggling to simultaneously keep up with sprawl and meet ever-heightening expectations. One answer to these storage-related challenges centers on introducing a software-defined layer that abstracts and normalizes underlying storage repositories while still enabling already-deployed best of breed componentry to do what it does best.
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data protection, scaling, recovery capabilities, enterprise management, storage, organization, commvault
    
Commvault ABM Oct
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