data management tools

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Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Organizations that want to apply consistent data management, governance and security practices across their organization can learn a lot from Ford Motor Company. Data-driven decision making led Ford Motor Company to perfect the vehicle assembly line in 1913. A century later, Ford had more than 4,600 data sources, and a wide range of analytical tools, methods, and processes in use throughout the company, and needed a more strategic approach to decision-making.
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Alteryx, Inc.
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. 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. Amazon 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. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: APC by Schneider Electric     Published Date: Feb 15, 2011
This paper divides the realm of data center "Operations Technology" into four distinct domains and compares the primary and secondary functions of key subsystems within these domains.
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apc by schneider electric, classification, data center operations technology, ot management tools, software management tool, physical infrastructure
    
APC by Schneider Electric
Published By: Avalere     Published Date: Apr 02, 2007
Sensitive documents, files and intellectual property are extracted from a central repository such as a database, records management system, or document management system to complete daily tasks, however, extracting this information can lead to a security breach.  Avalere provides the tools you need to control the proliferation of sensitive information throughout your organization.
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security, security management, database admin, dba, records management, database management, document management, data security, document security, avalere, information management
    
Avalere
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection. How automated or
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AWS
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn How to take advantage of flexible consumption models to align hybrid cloud adoption with your business
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AWS
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging. Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
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CA Technologies EMEA
Published By: Cisco     Published Date: Apr 14, 2014
Today's IT departments are increasingly challenged by the complexity of managing disparate components within their data centers. Rapidly proliferating silos of server, storage, and networking resources combined with numerous management tools and operational processes have led to crippling inefficiencies and costs.
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cisco, sap, flexpod, data centers, it management, enterprise applications, data management
    
Cisco
Published By: Cisco     Published Date: Jan 05, 2015
Cisco is continuously innovating to help businesses reinvent the enterprise data center and deliver superior IT services for greater business impact. To that end, Cisco has developed robust infrastructure management tools for your Cisco Unified Computing System™ (Cisco UCS™) data center that work with and extend tools you may already use to monitor, provision, configure, and orchestrate your Microsoft server and application software.
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solution guide, integrate, infrastructure, solutions, applications, it management, data management
    
Cisco
Published By: Cisco     Published Date: May 15, 2015
Cisco has developed robust infrastructure management tools for your Cisco Unified Computing System™ (Cisco UCS™) data center that work with and extend tools you may already use to monitor, provision, configure, and orchestrate your Microsoft server and application software.
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data center, software, networking, management, cisco, virtualization, infrastructure, design and facilities
    
Cisco
Published By: Cisco     Published Date: Nov 17, 2015
Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are taking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University. With Microsoft, Cisco, and Intel, you have a triad of innovators and leaders that recognize the value of integration, virtualization, and unified management. A triad that continues to work behind-the-scenes to reduce the complexity and increase the capability of enterprise solutions.
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cisco, technological integration, unleashing it, integrated solutions, cloud environments, data centers, management tools, it management, wireless, knowledge management, enterprise applications
    
Cisco
Published By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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Cisco
Published By: Cloudant - an IBM Company     Published Date: Jun 01, 2015
Whether you're a DBA, data scientist or developer, you're probably considering how the cloud can help modernize your information management and analytics strategy. Cloud data warehousing can help you get more value from your data by combining the benefits of the cloud - speed, scale, and agility - with the simplicity and performance of traditional on-premises appliances. This white paper explores how a cloud data warehouse like IBM dashDB can reduce costs and deliver new business insights. Readers will learn about: - How data warehousing-as-a-service helps you scale without incurring extra costs - The benefits of in-database analytics in a cloud data warehouse - How a cloud data warehouse can integrate with the larger ecosystem of business intelligence tools, both on prem and off prem
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nosql, ibm, dashdb, database, cloud
    
Cloudant - an IBM Company
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: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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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: Dassault Systèmes     Published Date: Jul 21, 2017
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates. Use PLM Analytics to: • Gain actionable insight and valuable intelligence • Dramatically boost business value and improve project management performance • Reduce error-prone behavior like manual data collection • Leverage big-data capabilities and project intelligence Learn how to extend the value of your PLM investment and improve business performance for your company.
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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: Dassault Systèmes     Published Date: Aug 08, 2017
Midsize Aerospace and Aviation manufacturers need to choose a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. Product Lifecycle Management (PLM) software can help. It drives better product development performance by managing product-related data, processes and projects. While smaller companies may be able to control, access and share product data with relatively simple Product Data Management (PDM) tools, larger manufacturers rely on full featured PLM systems that help automate processes and share data across global Aerospace and Aviation companies.
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aerospace, aviation, manufacturing, product development, plm, product lifecycle management, automation, data
    
Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Aug 08, 2017
Industrial Equipment Manufacturers have to connect closely with customers and introduce new products quickly and efficiently to meet their needs. While smaller Industrial Equipment Manufacturers may be able to control, access, and share product data with relatively simple Product Data Management (PDM) tools, larger Industrial Equipment Manufacturers rely on full-featured PLM systems that help automate processes and share data across global supply chains. Industrial Equipment Manufacturer companies may find themselves in-between because: • Product and organizational complexity drive them beyond basic PDM capabilities • A full-featured PLM implementation may feel out of reach They need to choose a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. What’s the right size PLM to fit an Industrial Equipment Manufacturer? Let’s take a look.
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pdm, product data management, industrial, equipment manufacturers, plm, dassault
    
Dassault Systèmes
Published By: Datavail     Published Date: Nov 03, 2017
“One of the most popular MDM solution is Oracle Hyperion Data Relationship Management. Oracle DRM is used to resolve the challenges across the people, processes, and tools that go into the tasks of data management. Although Oracle DRM is a powerful software, it nevertheless presents challenges for organizations seeking to integrate it with other Oracle applications such as PeopleSoft Financials – DRM is unable to automatically push updates made within its system to PeopleSoft. As a result, changes in DRM to cost centers, project centers, trees, and hierarchies must be manually updated in PeopleSoft Financials – a tedious process that can take hours every day. The good news is that these challenges can be easily addressed with the support of partners such as Datavail.
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Datavail
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
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Dell EMC
Published By: Dell Server     Published Date: Aug 08, 2018
PowerEdge servers protect your customers and business with integrated security Analysts say attacks on firmware are becoming a greater threat to systems, making a cyber-resilient server architecture essential to the modern data center. Dell EMC PowerEdge servers, powered by Intel® Xeon® Scalable processors, deliver comprehensive management tools and robust layers of security to protect hardware and firmware throughout the server lifecycle.
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Dell Server
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Cloud services are a pillar of a digital transformation, but they have also become a thorn in the side of many security architects. As data and applications that were once behind the enterprise firewall began roaming free—on smartphones, between Internet-of-Things (IoT) devices, and in the cloud—the threat landscape expanded rapidly. Security architects scrambled to adjust their technologies, policies, and procedures. But just when they thought they had a handle on securing their cloud-connected enterprises, new business imperatives indicated that one cloud wasn’t enough. Modern enterprises operate in a multi-cloud world, where the threat landscape has reached a new level of complexity. Security teams are juggling a hodgepodge of policies, threat reports, and management tools. When each cloud operates in its own silo, the security architect has even more difficulty supporting the CISO or CIO with a coherent, defensible security posture.
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Fortinet EMEA
Published By: Gleanster Research     Published Date: Nov 06, 2012
For major corporations, these new data management and visualization tools can supplement their core BI initiatives, providing a friendlier front end that builds on existing investments. For smaller organizations, these tools may be the only ones they need. In this 38-page benchmark report, you'll learn how Top Performers use Agile Business Intelligence.
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gleanster, agile business, business, technology, data, data quality, business technology
    
Gleanster Research
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