data management system

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Published By: Pure Storage     Published Date: Oct 09, 2017
Storing data is critical. Everyone stores data. Today, it’s all about how you use the data you’re storing and if you’re storing the right data. The right mix of data and the ability to analyze it against all data types is driving markets worldwide in what is known as digital transformation. Digital transformation requires storing, accessing, and analyzing all types of data as fast and efficiently as possible. The end goal is to derive insights and gain a competitive advantage by using those insights to move faster and deliver smarter products and services than your competition.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Pure Storage
Published By: IBM     Published Date: Jul 26, 2017
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
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1 800 flowers, ibm, e-commerce, case study, master data management
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata, business meta data, market data
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
This video explores the four governance elements you must get right to take full advantage of the hybrid cloud while ensuring your data remains secure and trustworthy.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: NetApp     Published Date: Sep 21, 2017
This white paper is an overview of how SolidFire enables efficient data distribution and management to maximize system capacity without experiencing performance downgrades in an economical manner.
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netapp, database performance, flash storage, data management, cost challenges, solidfire, data
    
NetApp
Published By: Jamf     Published Date: Mar 29, 2018
With Mac labs being a major presence on university campuses, many IT admins rely on imaging to ensure computers do not fall prey to viruses and costly data breaches, and to provide students with the education resources they need to be successful. The problem is imaging machines is a tedious and manual process, requiring lots of IT time. In this white paper, we examine a better way to manage a Mac lab and explain how to: • Leverage Apple’s Device Enrollment Program (DEP) to automatically configure and enroll Mac devices into management • Make apps and resources readily available for students to use, regardless which computer they choose • Ensure students only have access to the resources relevant to them by binding machines to your school’s directory services system
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Jamf
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.
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data management, data system, enterprise management, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Product Lifecycle Management (PLM) software can help your company keep up with the increasing complexity of developing today’s high-tech products. While smaller companies may use relatively simple Product Data Management (PDM) tools, larger companies rely on full-featured PLM systems that help automate processes and share data across global supply chains. Mid-size companies can feel stuck because PDM is too basic, but PLM feels out of reach. This resource will help you: • Recognize why “simple” solutions fall short and do not support your capabilities • Better connect to customers and the supply chain • Drive higher product development speed • Get started with the right PLM solution Midsize manufacturers need a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. So, what’s the right size PLM to fit a midsized high-tech company? Download this resource and take a look.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Infor     Published Date: Mar 07, 2017
Financial reporting teams, often led by Controllers, face mounting pressure to provide accurate, useful, and timely data, while also decreasing turnaround time and costs. Regulatory agencies don’t care if an organization is short of staff or if its financial management system amounts to a collection of spreadsheets.
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Infor
Published By: Teradata     Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online. To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Teradata
Published By: Teradata     Published Date: May 02, 2017
Should the data warehouse be deployed on the cloud? Read this IDC Research Spotlight to learn more.
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data warehouse, data storage, data management, data analytics, data preparation, data integration, system integration
    
Teradata
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: May 09, 2017
How companies are managing growth, gaining insights and cutting costs in the era of big data
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: Egress ABM Pilot     Published Date: Oct 09, 2017
The EU General Data Protection Regulation (GDPR) represents a significant step change for data protection across EU member states. The EU GDPR also brings with it serious implications for organisations who suffer a breach. People will always make mistakes – and in busy and stressful workplaces such as banks and insurance firms the likelihood of this increases. Without the right processes and technologies in place to help avoid mistakes, sensitive client information remains at risk. This white paper provides financial services organisations with a four-step process to ensure compliance.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
Egress ABM Pilot
Published By: Egress ABM Pilot     Published Date: Oct 09, 2017
Patients trust healthcare organisations with vast amounts of their sensitive data – not just details on their medical and social wellbeing, but also personally identifiable information such as dates of birth and residential addresses. People will always make mistakes – and, unfortunately, in busy and stressful workplaces, such as hospitals and medical clinics, the likelihood of this increases. Without the right processes and technologies in place to help overcome this to avoid mistakes, sensitive patient information remains at risk.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
Egress ABM Pilot
Published By: Equinix     Published Date: Oct 27, 2014
Enterprises grapple with a host of challenges that are spurring the creation of hybrid clouds: collections of computing infrastructure spread across multiple data centers and multiple cloud providers. This new concept often provokes uncertainty, which must be addressed head on. As more applications and computing resources move to the cloud, enterprises will become more dependent on cloud vendors, whether the issue is access, hosting, management, or any number of other services. Cloud consumers want to avoid vendor lock-in—having only one cloud provider. They want to know that they will have visibility into data and systems across multiple platforms and providers. They want to be able to move servers and storage around without a negative impact on application availability.
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data center, enterprise, cloud, experience, hybrid, performance, strategy, interconnectivity, network, drive, evolution, landscape, server, mobile, technology, globalization, stem, hyperdigitization, consumer, networking
    
Equinix
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications, data management
    
MarkLogic
Published By: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
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enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications, data management
    
MarkLogic
Published By: MobileIron     Published Date: Mar 21, 2017
As organizations increasingly use Office 365 and other cloud services on mobile devices, they need a secure mobile and cloud architecture to protect all of these apps and data on the device and in transit. It requires a comprehensive, unified approach to enterprise mobility management (EMM) that includes defense-grade security, massive scalability, a broad ecosystem of technology partners, enhanced Office 365 security, and integrated Windows 10 desktop and mobile management. And it has to provide all of this without locking customers into a proprietary technology stack.
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MobileIron
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: Datastax     Published Date: Aug 23, 2017
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
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cloud, adoption, application, migration, performance
    
Datastax
Published By: Datastax     Published Date: Mar 06, 2018
This person clearly didn’t work in the financial sector and clearly didn’t use real-time data management technology to power innovative financial apps. When it comes to numbers - specifically, money numbers and customer interactions - you really don’t want to leave your data at the mercy of a legacy system that doesn’t let you mine your data for all the instant insights it can offer.
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Datastax
Published By: MarkLogic     Published Date: Nov 07, 2017
NoSQL means a release from the constraints imposed on database management systems by the relational database model. This quick, concise eBook provides an overview of NoSQL technology, when you should consider using a NoSQL database over a relational one (and when to use both). In addition, this book introduces Enterprise NoSQL and shows how it differs from other NoSQL systems. You’ll also learn the NoSQL lingo, which customers are already using it and why, and tips to find the right NoSQL database for you.
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MarkLogic
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