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By: CenturyLink     Published Date: Jan 02, 2015
The market for cloud compute infrastructure as a service (a virtual data center of compute, storage and network resources delivered as a service) is still maturing and rapidly evolving. Strategic providers must therefore be chosen carefully.
Tags : gartner, magic quadrant, compute infrastructure, storage resources, network resources, strategic providers, it management
     CenturyLink
By: ServiceNow     Published Date: Mar 24, 2015
Technology has become the heart and soul of every business. The hardware boundaries of IT have exploded beyond data centers, with mobile devices in the hands of both employees and customers alike. Application options have blossomed, from traditional to open source to software-as-a-service. Business has become global, bringing with it a demand for round-the-clock agility. Employees expect that the applications they use at work should be as easy to use the Web apps they use at home. Integration remains difficult, because it's sometimes impossible to know what will happen when someone tries to pluck one strand out of the pile. IT workload and system complexity will only get more challenging, bringing the need for disintermediation through service automation.
Tags : future it, service automation, it workload, integration, data centers, mobile devices, software-as-a-service, web apps, it management, enterprise applications
     ServiceNow
By: MobileIron     Published Date: Nov 14, 2017
This paper covers some of the critical security gaps today’s mobile-cloud enterprises must address: • Unsecured devices. Unsecured devices allow users to easily access business data from mobile apps or cloud services simply by entering their credentials into an app or browser on the device. Once on the device, data can be easily compromised or shared with unauthorized, external sources. • Unmanaged apps. These typically include business apps, such as Office 365 productivity apps, that the user has downloaded from a personal app store instead of the enterprise app store. As a result, these apps are not under IT control but can still be used to access business content once the user enters his or her credentials. • Unsanctioned cloud services. Most enterprise cloud services have associated ecosystems of apps and services that integrate using APIs. While the enterprise cloud service might be sanctioned, apps and services from its ecosystem might not be.
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     MobileIron
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
By: MuleSoft     Published Date: May 17, 2016
MuleSoft surveyed 802 IT decision makers (ITDMs) globally to assess how organizations of all sizes are executing on digital transformation initiatives, IT challenges and the role of APIs to meet business goals. The survey results reveal challenges that are hindering IT’s ability to achieve digital transformation fast enough. Just 18% of ITDMs are very confident that they will succeed in meeting this year’s digital transformation goals. IT challenges are not only slowing down their ability to complete digital transformation goals this year, but they are also directly putting business revenue at risk. In fact, 66 percent of ITDMs said that their company’s revenue would be negatively impacted within six months. However, the survey found that IT teams are looking to APIs and reuse of existing applications, data and digital resources to speed up the pace of business.
Tags : mulesoft
     MuleSoft
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.
Tags : ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics, enterprise applications
     IBM
By: IBM     Published Date: Nov 30, 2016
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
Tags : ibm, cloud, cloudant managed service, cloudant local, apache couchdb, enterprise applications
     IBM
By: Veritas     Published Date: Apr 06, 2016
Data protection has never been more in the forefront, as information increasingly is the lifeblood and differentiator in a constantly changing world. As the leader we see across the enterprise, which helps solve the larger information management problems that come from accelerating digital business. Keep up with the latest trends and use the following tips to maximize the value of your data protection investment —meeting more demanding SLAs, simplifying management across a complex IT environment, and reducing costs— so you can free up resources to innovate and create business value. Download this whitepaper to learn 8 tips to stay ahead of the top 2016 data protection trends.
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     Veritas
By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
Tags : ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases, enterprise applications
     IBM
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.
Tags : ibm, analytics, ecm, data, big data, information governance, enterprise applications, data management
     IBM
By: IBM     Published Date: May 22, 2017
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
Tags : cloud privacy, cloud security, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     IBM
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
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
By: Datastax     Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on. Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time. In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
Tags : enterprise, benchmarking, data
     Datastax
By: Datastax     Published Date: Aug 03, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
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     Datastax
By: Datastax     Published Date: Aug 27, 2018
Today’s companies require serious POWER at the data layer if they’re going to thrive in the Right-Now Economy. That’s why DataStax upped the ante with the latest version of its flagship product: DataStax Enterprise (DSE) 6. DSE 6 offers double the performance of DataStax Enterprise 5.1 and has now been independently verified as being at least twice as fast as open source Apache Cassandra. Read this white paper to learn all about DSE 6 performance improvements.
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     Datastax
By: Datastax     Published Date: Aug 27, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
Tags : 
     Datastax
By: Datastax     Published Date: Aug 28, 2018
Today’s companies require serious POWER at the data layer if they’re going to thrive in the Right-Now Economy. That’s why DataStax upped the ante with the latest version of its flagship product: DataStax Enterprise (DSE) 6. DSE 6 offers double the performance of DataStax Enterprise 5.1 and has now been independently verified as being at least twice as fast as open source Apache Cassandra. Read this white paper to learn all about DSE 6 performance improvements.
Tags : 
     Datastax
By: Datastax     Published Date: Aug 28, 2018
With DataStax Enterprise 6 (DSE 6), we upped the bar substantially for us, our partners, our customers, and our competitors. We also came out and said that DSE 6 was twice as fast as open source Apache Cassandra™, and now, we have a third-party validation of this claim. Read this benchmark report from zData to get the results of their test of DSE 6 against Cassandra, for which they ran a different series of workloads on an AWS-built cluster.
Tags : 
     Datastax
By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandra—a distributed NoSQL database—was born. Released as an open source project in July 2008, Cassandra—named after the mythological prophet who famously put a curse on an oracle—became an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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     Datastax
By: Symantec     Published Date: Dec 13, 2017
Enterprise’s are increasingly under threat from sophisticated attacks. In fact, research has found that threats dwell in a customer’s environment an average of 190 days1. These Advanced Persistent Threats use stealthy techniques to evade detection and bypass traditional security defenses. Once an advanced attack gains access to a customer environment the attacker has many tools to evade detection and begin to exploit valuable resources and data. Security teams face multiple challenges when attempting to detect and fully expose the extent of an advanced attack including manual searches through large and disparate data sources, lack of visibility into critical control points, alert fatigue from false positives, and difficulty identifying and fixing impacted endpoints.
Tags : investigation, exposure, attacks, endpoints, network, email, cloud, security, symantec
     Symantec
By: Fiserv     Published Date: Mar 02, 2018
Does your company still rely on a time-consuming and error-prone manual approach to reconciliation? Does it consolidate multiple data sources from disparate systems to close the books? Find out how one of the top 10 multi-line insurers automated the reconciliation process for over 3,000 accounts, resulting in fewer errors and quicker close times. Plus, the insurer now has visibility into all reconciliation items rather than reviewing 300 different Excel reconciliation documents!
Tags : manual reconciliation, automated reconciliation for insurers, automated reconciliation, automated insurance reconciliation, automated reconciliation system, non-compliance, data reconciliation
     Fiserv
By: OneLogin     Published Date: Oct 24, 2017
In this ebook, we dive into how identity management streamlines access to the cloud while protecting corporate data. The location of many resources is changing to the cloud, yet companies still need central management of those resources. Trying to maintain security and order in a chaotic free-for-all use of cloud apps and bring-your-own-device culture is like a black hole sucking in IT’s time—time they could be dedicating to other projects. OneLogin’s cloud identity management platform spans the entire application portfolio with secure single sign-on (SSO), multi-factor authentication (MFA), user provisioning, integration with common directory infrastructures such as Active Directory (AD), Lightweight Directory Access Protocol (LDAP), and various cloud directories, and more. We recommend the following: • IT departments leverage OneLogin for all their identity management needs • IT departments educate users about security and safe sharing • App owners enable Security Assertion M
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     OneLogin
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