data management tools

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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: 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: 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: 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: 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: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Technical whitepaper uncovers the data protection capabilities and management tools of HPE SimpliVity hyperconverged infrastructure that deliver scalability, availability and performance.
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Hewlett Packard Enterprise
Published By: Google Apigee     Published Date: Jun 08, 2018
A must-read for IT professionals that provides a comprehensive analysis of the API management marketplace and evaluates 22 vendors across 15 essential criteria. APIs are the de-facto standard for building and connecting modern applications. But securely delivering, managing and analyzing APIs, data and services, both inside and outside an organization, is complex. And it’s getting even more challenging as enterprise IT environments grow dependent on combinations of public, private and hybrid cloud infrastructures. Choosing the right APIs can be critical to a platform’s success. Likewise, full lifecycle API management can be a key ingredient in running a successful API-based program. Tools like Gartner’s Magic Quadrant for Full Life Cycle API Management help enterprises evaluate these platforms so they can find the right one to fit their strategy and planning. Apigee is pleased to offer you a complimentary copy of the Gartner report. Access in-depth evaluations of API managemen
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Google Apigee
Published By: Kronos     Published Date: May 30, 2018
How do you know for sure that you're managing compliance with labor laws and regulations correctly and accurately? Start by completing this checklist. Responses to a recent Kronos® survey of 812 HR and payroll managers identified five key compliance readiness issues that organizations need to address to reduce risk of noncompliance. These issues were determined from questions such as: •Can I easily respond to and communicate to my organization about new regulations within 60 to 90 days? •Do I spend more time on duplicate data entry among various systems than I do on strategic initiatives? •Does my workforce management vendor provide education and tools that help my organization stay compliant? Download this piece and complete the entire checklist to see where your organization stands on compliance preparedness. You can also and find out more about the Kronos single unified platform for HR and payroll that can help you adapt to regulatory changes and reduce the data-entry complexity, co
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Kronos
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: Workterra     Published Date: Nov 10, 2017
Mid-market HR today is being asked to be a business partner in areas that range from compliance to employee engagement. They need to be able to connect the dots among various sources of employee data to deliver better-informed business decisions to help achieve strategic goals. Connecting those dots and delivering those results demands more HR firepower and greater data visibility than the manual or homegrown processes and systems often used by mid-market organizations can deliver. On the other hand, most mid-market companies aren’t ready for the intricacies or expense of human capital management (HCM) systems designed for enterprise-level organizations. The answer for forward-thinking HR leaders who want to boost their team’s capabilities and play a greater role in their company’s future is having core HR functionality designed into an integrated benefits administration solution. Automated HR that delivers core HR features as part of its architecture — not as an afterthought or a separate, stand-alone module — gives HR leaders: • The tools they need to better handle their administrative work • The data and analytics necessary to better coordinate programs and more confidently make strategic decisions • A user experience that makes life easier for HR and employees
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Workterra
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
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: IBM     Published Date: Oct 13, 2017
Integrated Threat Management For Dummies, IBM Security Limited Edition, lays the foundation for effective tools and techniques that work together to help counter today’s advanced threats. Regardless of your role in the IT security organization, threat management tools and techniques will influence your job. Your role determines the part you play to effectively manage threats, including those targeting the cloud and your company’s data. If you are a Chief Information Security Officer (CISO) or security manager, this book explains in detail the types of tools you need to effectively prevent, detect, and respond to security incidents. If you’re in general business management, you’ll better understand the risks associated with enterprise computing and the reasons why a comprehensive portfolio of security tools that work well together is so important.
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malware prevention, network intrusion prevention, malware protection, ibm, firewall, mutating malware, cyber threats
    
IBM
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: Lookout     Published Date: Aug 30, 2017
Mobility is exploding. Workers and businesses fully expect to work anywhere, any time, from any device. Riding right alongside this growth is the amount of data created and consumed on mobile devices. While this presents organizations with an attractive means of empowering flexibility and productivity, the security risks are real and daunting. Unfortunately, while enterprise mobility management tools can provide valuable administrative capabilities and protect the organization from phone loss, accidental data loss or weak passwords, they lack the necessary visibility into today’s modern security risks, including malware and other device-centric attacks
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mobile security, enterprise mobility, mobile security risks, mobile management tools, data protection
    
Lookout
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: 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: IBM     Published Date: Apr 20, 2017
Protecting confidential data while keeping mobile users productive. The terms Data Leak Prevention (DLP) and Container are beginning to dominate the mobile management conversation. Over the past few years great strides have been made in providing the tools and solutions that offer management and security for mobile devices; both for devices the enterprise owns and those that employees own. While these solutions generally meet the need to secure the device, they have been lacking in some of the more sophisticated security aspects that are commonplace in laptop and distributed network deployments. Specifically lacking are the robust DLP controls common in laptop management solutions.
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IBM
Published By: IBM     Published Date: Apr 20, 2017
Protecting confidential data while keeping mobile users productive. The terms Data Leak Prevention (DLP) and Container are beginning to dominate the mobile management conversation. Over the past few years great strides have been made in providing the tools and solutions that offer management and security for mobile devices; both for devices the enterprise owns and those that employees own. While these solutions generally meet the need to secure the device, they have been lacking in some of the more sophisticated security aspects that are commonplace in laptop and distributed network deployments. Specifically lacking are the robust DLP controls common in laptop management solutions.
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mobile management, system solutions, data security, software management, personal data management, device management
    
IBM
Published By: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
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Trillium Software
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