data set

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Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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IBM
Published By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Oracle     Published Date: Nov 07, 2018
At many organisations, planning and budgeting take too long and devour resources. Finance teams spend too much time on administrative tasks relating to these processes—collecting, consolidating and reconciling data, for example—and are left with little time for analysis, strategy development and target setting. Accuracycan be patchy, results unreliable.
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Oracle
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
Published By: CA Technologies     Published Date: Jan 08, 2014
Today’s trends, including cloud, mobile, social media, and big data, are causing huge changes in the way that identities need to be managed. As a result, the previous notion of a network perimeter is disappearing. With the advent of cloud and mobility, identity has become the new perimeter. This trend will have profound impacts on the business and IT organizations. This paper describes an identity-centric approach to security that can help you grow your business while protecting your key assets from improper use.
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ca technologies, identity, identity management, user provisioning, identity centric security, security, cloud, network provisioning
    
CA Technologies
Published By: CA Technologies     Published Date: Jan 15, 2014
Today’s trends, including cloud, mobile, social media, and big data, are causing huge changes in the way that identities need to be managed. As a result, the previous notion of a network perimeter is disappearing. With the advent of cloud and mobility, identity has become the new perimeter. This trend will have profound impacts on the business and IT organizations. This paper describes an identity-centric approach to security that can help you grow your business while protecting your key assets from improper use.
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ca technologies, identity, identity management, user provisioning, identity centric security, security, cloud, network provisioning
    
CA Technologies
Published By: CA Technologies     Published Date: Jan 15, 2014
Today’s trends, including cloud, mobile, social media, and big data, are causing huge changes in the way that identities need to be managed. As a result, the previous notion of a network perimeter is disappearing. With the advent of cloud and mobility, identity has become the new perimeter. This trend will have profound impacts on the business and IT organizations. This paper describes an identity-centric approach to security that can help you grow your business while protecting your key assets from improper use.
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ca technologies, identity, identity management, user provisioning, identity centric security, security, cloud, network provisioning
    
CA Technologies
Published By: Equinix     Published Date: Oct 27, 2014
The businesses that thrive amid fluctuating technology demands are not only keeping a finger on the pulse of current trends, they have the infrastructure in place to handle whatever changes might come. And they’re doing so by treating their data centers as a strategic asset—a hub from which providers and performance can all stem. Are you ready for what’s next? According to analyst forecasts and IT executives, the five key trends affecting our state of technology are mobility, consumer technology, cloud services, hyperdigitization and globalization. In the following pages, you’ll learn how these bgtrends are affecting current networks, and why a strategic data center is key to not only surviving, but thriving, today and in the future.
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data center, enterprise, cloud, experience, hybrid, performance, strategy, interconnectivity
    
Equinix
Published By: MarkLogic     Published Date: Nov 08, 2016
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. Download now to learn more.
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MarkLogic
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: MuleSoft     Published Date: Jan 25, 2016
Data is one of the most valuable business assets. Companies are using data to provide more personalized, tailored experiences to their customers, analyzing customer and operational behavior to make better decisions, and providing web and mobile apps to their customers, employees, and partners. As the keys to that data, APIs are poised to become valuable business assets in and of themselves. In this whitepaper, we'll learn how APIs are currently transforming the enterprise, and how they will become even more integral to how we do business in the future.
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data management, business practices, data center. data application, enterprise applications, api management, application integration, application performance management, best practices
    
MuleSoft
Published By: MuleSoft     Published Date: Apr 13, 2016
Every corner of an enterprise needs technology to build new applications for their specific function or customer. IT needs to transform from its traditional function as the sole technology provider to become an adaptive, responsive and nimble organization that can keep up with the pace of the digital era as well as embrace the opportunities provided by a change-driven environment. This transformation can occur only if IT transforms itself into a strategic business enabler rather than a centralized technology function. Being an enabler means that IT has to decentralize and democratize application development and data access to the different Lines of Business (LoBs) and functional business partners. This way, IT can concentrate on a partnership with the business - i.e. providing a set of strategic and consistent assets and technology.
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technology, enterprise applications, best practices, business optimization, technology architecture, application management, application integration, business intelligence
    
MuleSoft
Published By: Looker     Published Date: Dec 03, 2015
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI
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Looker
Published By: Datawatch     Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending, finance
    
Datawatch
Published By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
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datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
    
Datawatch
Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security
    
IBM
Published By: Genesys     Published Date: Feb 21, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: Genesys     Published Date: Feb 22, 2018
Your customers expect effortless and personalized engagement across all their channels. Delivering exceptional customer service requires the platform, infrastructure, applications and resources to identify, route and switch interactions seamlessly between agents and channels, while keeping relevant data available throughout the customer journey. Download this paper to learn how to: • Transform single interactions into personalized customer journeys • Empower employees with the right set of tools, including a unified desktop • Quickly deploy new technologies, like blended artificial intelligence (AI), bots and virtual assistants to exceed your customers’ rapidly evolving expectations
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contactbabel, contact center, omnichannel, routing, customer experience
    
Genesys
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Most organizations use public cloud to reduce costs, but end up spending way more than they expected. Google Cloud Platform is growing at a staggering rate for the business benefits and its rich features around Machine Learning, Artificial Intelligence, Big Data and Containers. However, it’s important to keep a tab on your spend while maximizing your cloud benefits. Reducing spend in GCP doesn’t need to be a process of trial and error -- there are proven ways to save money in your GCP environment without negatively impacting desired outcomes. Read this eBook to learn the 8 different ways to reduce your spend, including: -Terminating Zombie Assets -Deleting Unattached Persistent Disk -Rightsizing Compute Engine VMs Download to learn and practice these techniques to reduce spend in GCP.
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cloud management, google cloud platform, multicloud management
    
CloudHealth by VMware
Published By: Oracle     Published Date: Mar 01, 2019
Using PaaS to build and extend the functionality of cloud software products (SaaS) means that you: - No longer have the cost of maintaining hardware and / or a data center (especially if it is not being utilized 100% of the time) \ lowering costs and expanding resources - Can set up development environments quickly and easily, boosting speed, innovation and agility - Save time, improving speed and agility and reducing time to market - Only pay for what you use, further reducing costs and increasing flexibility …which, in turn, will provide faster time-to-value.
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Oracle
Published By: Oracle + Dyn     Published Date: Jun 29, 2017
Global DNS performance and availability are critical to business continuity, security and end-user experience. With online applications, content, data and services often scattered across the internet and housed in your own DCs, your CDN or in your cloud instances; it’s more important than ever to have a robust, redundant DNS solution making sure your assets get delivered as quickly and reliably as possible. This whitepaper reviews the business advantages of implementing a high availability DNS architecture using redundant DNS services. You will learn: The critical role DNS plays in the user experience The failure and outage risks of relying on a single DNS solution The major resiliency and performance differences between unicast vs anycast addressing Criteria for evaluating a managed DNS service provider Download Now!
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Oracle + Dyn
Published By: Oracle + Dyn     Published Date: Jun 29, 2017
Every user’s first interaction with your website begins with a series of DNS queries. The Domain Name System or DNS is a distributed internet database that maps human-readable names to IP addresses, ensuring users reach the correct online asset (website, application, etc) efficiently. Knowing the complexities and best practices of this layer of your online infrastructure will help your organization build redundancy, improve end-user performance and establish a top notch DR plan. Download this guide to DNS top terms and actionable concepts including: Anycast vs. Unicast networks CNAME DDoS and Hijacking Load Balancing and GSLB
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Oracle + Dyn
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
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