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Results 76 - 100 of 256Sort Results By: Published Date | Title | Company Name
Published By: Symantec     Published Date: Nov 24, 2014
This IDC White Paper explores the increased use and adoption patterns of PBBAs, both integrated and targeted, and the utility these appliances provide to customers in their data protection processes. In addition, this White Paper illuminates the customer value that Symantec's Backup Exec and NetBackup appliances bring to the data protection and recovery process.
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purpose built backup appliances, pbbas, backup performance, data protection, data security
    
Symantec
Published By: Symantec     Published Date: Nov 24, 2014
This IDC White Paper explores the increased use and adoption patterns of PBBAs, both integrated and targeted, and the utility these appliances provide to customers in their data protection processes. In addition, this White Paper illuminates the customer value that Symantec's Backup Exec and NetBackup appliances bring to the data protection and recovery process.
Tags : 
purpose built backup appliances, pbbas, backup performance, data protection, data security
    
Symantec
Published By: Symantec     Published Date: Nov 24, 2014
This IDC White Paper explores the increased use and adoption patterns of PBBAs, both integrated and targeted, and the utility these appliances provide to customers in their data protection processes. In addition, this White Paper illuminates the customer value that Symantec's Backup Exec and NetBackup appliances bring to the data protection and recovery process.
Tags : 
purpose built backup appliances, pbbas, backup performance, data protection, data security
    
Symantec
Published By: Equinix     Published Date: Oct 27, 2014
In today’s technology-rich world, customers and employees demand the highest level of application performance. Failure to provide access to applications that consistently perform well anytime, anywhere, and on any device, often leads to lower productivity, customer dissatisfaction, decreased revenue and market share, and damage to brand reputation. This paper explores the challenges that today’s CIOs face in regard to application performance, and how a more strategic data center approach, like distributing applications closer to your users, can help optimize application performance and reduce IT costs.
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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: Jun 21, 2017
Global financial organizations are facing increasing demands from the business for more granularity, transparency, reporting and security. If you’re on the IT side, you know this adds a different set of ‘mores’ to the equation: More duplication, delays, and people. What’s the net-net? More cost and more risk. You can balance the scales to satisfy those demands. And it starts with thinking differently about data management. Our financial services technology experts will explore the implications of governance, risk and compliance (GRC) imperatives. You’ll learn: • Why data is at the heart of an effective and dynamic GRC strategy • Why technological capabilities used to enable standard GRC programs can reduce transparency and prevent you from gaining a holistic view of your data • A new approach to data can provide the business with complete transparency • Review a sample regulatory reporting architecture Stop burning time on tooling — and start building a dynamic GRC strategy that can
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting
    
MarkLogic
Published By: MobileIron     Published Date: May 07, 2018
The global BYOD and enterprise mobility market continues to experience impressive growth. Preparing for this transformation is more than just a matter of security. It’s a matter of leveraging the people, processes and tools needed to become a Mobile First organization that’s ready to explore a whole new opportunity landscape. This BYOD guide is a great first step toward achieving your mobile transformation by implementing a successful BYOD program. By following the recommendations in this guide, you can deliver a program that meets the needs and preferences of mobile workers, while upholding corporate security and budget requirements. But the true success of any BYOD program depends on its long-term sustainability, which means you must ensure the security of your corporate data, drive user adoption by supporting employees’ device preferences and maintain a flexible technology portfolio that enables business innovation.
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guide, byod, mobility, landscape, organization, program, mobile
    
MobileIron
Published By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
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qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, big data, mobile, data center
    
Qlik
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Nov 30, 2016
Covering both mobile and Internet of Things (IoT) use cases, this deep dive into offline first explored several patterns for using PouchDB together with Cloudant, including setting up one database per user, one database per device, read-only replication, and write-only replication.
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ibm, cloud, offline-first, pouchdb, ibm cloudant, enterprise applications, cloud computing
    
IBM
Published By: Veritas     Published Date: May 12, 2016
Read this solution brief to explore: 1. Five key questions to ensure your data protection infrastructure is able to deliver data anytime and anywhere 2. Four guiding principles required for your data protection strategy to enable your digital business 3. Key tools to enable your digital enterprise
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Veritas
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance, enterprise applications
    
IBM
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: May 14, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Microsoft Carat APAC     Published Date: Dec 12, 2017
Web apps once thought impossible due to scale, complexity, or because they simply couldn’t be imagined, are now a reality with the cloud. In this guide, we’ve explored the Azure App Service and highlighted Azure’s support for platform as a service (PaaS). We’ve shown you how you can take an existing website backed by a SQL Server database and move it to the cloud. You’ve seen how you can easily add features such as identity management and caching to your web app. You’ve also learned that you can enable rich application monitoring with a few clicks.
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code, business, optimization, scale, support, cloud, paas
    
Microsoft Carat APAC
Published By: TIBCO Software     Published Date: Feb 13, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them.
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TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Analyst firms Gartner, Inc. and Forrester are projecting accelerated data virtualization adoption for both first-time and expanded deployments. What are the uses cases for this technology? At its Data and Analytics Summit in London in March 2018, Gartner answered this question by identifying 13 data virtualization use cases. This paper explores each of these use cases by: Identifying key requirements Showing how you can apply TIBCO® Data Virtualization to address these needs Listing the benefits you can expect when implementing TIBCO Data Virtualization for the use case
Tags : 
    
TIBCO Software
Published By: TIBCO Software     Published Date: Feb 14, 2019
Tips and best practices for data analytics executives Organizations today understand the value to be derived from arguably their greatest asset—data. When successfully aggregated and analyzed, data can unlock valuable insights, solve problems, improve products and services, and help companies gain a competitive edge. However, analytics executives face significant challenges in collecting, validating and analyzing data to deliver the right analytic insight to the right person at the right time. This e-book is designed to help. First, we'll explore the growing expectations for data analytics and the rise of the analytics executive. Then we'll explore a range of specific challenges those executives face, including those around data blending, analytics, and the organization itself, and offer best practices and strategies for meeting them. We'll also provide a short overview of TIBCO Statistica, an easy-to-use predictive analytics software solution designed to turn big data into your bigg
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TIBCO Software
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
This report explores a new breed of data warehouse that can operate in a world of legacy on-premise systems while exploiting the potential of cutting edge technologies and deployment styles
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Group M_IBM Q119
Published By: Amazon Web Services     Published Date: Apr 16, 2018
SAP and Amazon Web Services (AWS) have jointly developed a cloud-migration test program, Fast Amazon SAP Transformation (FAST), that helps you address time- and cost-related uncertainties when migrating HANA to the AWS cloud. This analyst report from Ovum explores how FAST (a four-step testing process) drastically reduces uncertainties about the time and costs involved in your HANA cloud migration. Download the report now and you’ll discover how FAST can help you: -Quickly quantify costs, risks, and time for migrating SAP ERP applications to the AWS Cloud. -Run your mission-critical applications faster and more reliably Migrate your SAP HANA database to the cloud in only a few days with minimal infrastructure cost Read the Report
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Amazon Web Services
Published By: SAS     Published Date: Apr 16, 2015
Big data has made quite an impression on organizations embarking on data journeys, hoping to glean valuable insights ranging from process optimization to customer-facing improvements. This research paper explores proven best practices that can help organizations overcome obstacles to deliver on big data potential.
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SAS
Published By: Teradata     Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.” Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively. As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value. To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
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data management, productivity, hadoop, interactive, enterprise, enterprise applications
    
Teradata
Published By: Infomatica     Published Date: May 19, 2015
In this eBook, best-selling author Brian Underdahl explores the fundamentals of data integration and how the latest tools can simplify today’s (and tomorrow’s) data landscape. “Data Integration for Dummies” provides valuable reference if you need to explain data integration to the business, are looking for an alternative to hand-coding data mappings, or simply interested in expanding your knowledge.
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data integration, it infrastructure, data sources, data landscape, data mappings, it management
    
Infomatica
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