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Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"Enterprises depend on data to improve customer interaction, accelerate product development and run the back office. ?Is infrastructure complexity holding your applications back? ? Do your applications have instant access to data?"
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Hewlett Packard Enterprise
Published By: Red Hat     Published Date: Aug 22, 2018
In the emerging digital enterprise, there’s a good chance some application development will be taking place outside the information technology department. It’s not that the role of IT is in any way being diminished – in fact, IT managers are getting busier than ever, overseeing the technology strategies of their enterprises. Rather, the pieces are in place for business users to build and configure the essential business applications they need, on a self-service basis, with minimal or no involvement of their IT departments. As the world moves deeper into an era of ongoing disruption from digital players – be they startups, or teams within established enterprises – technology has become an essential part of every job, from the boardroom to the boiler room. Accordingly, the discipline of IT is no longer confined to the data center or development shop. Many business managers and professionals are building, launching or downloading their own applications to achieve productivity and respond
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Red Hat
Published By: Dell Server     Published Date: Aug 07, 2018
Today’s digital businesses are managed using critical business analyses that provide far greater insight into the business and how to maximize results. However, these high-value applications that use the latest software tools demand far more from IT infrastructure, as they utilize an order of magnitude more data and demand more compute resources than legacy applications. Legacy systems are no longer capable of meeting the present and future needs of the organization.
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Dell Server
Published By: CA Technologies EMEA     Published Date: Sep 10, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
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CA Technologies EMEA
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: Datastax     Published Date: Aug 27, 2018
Distributed cloud databases are transforming the way organizations do business. Read this new, informative guide to learn what distributed cloud databases are and why they’re what’s required to power Right-Now Economy applications. You'll also get straightforward yet detailed information on the database requirements for today’s applications, the limitations of relational databases, and the importance of data autonomy in database selection. With Designing a Distributed Cloud Database for Dummies, you'll learn how enterprises can meet and exceed customer expectations by way of modern applications and distributed cloud databases.
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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: Datastax     Published Date: Aug 27, 2018
Today’s enterprises continue to differentiate themselves via their cloud applications. But differentiation is getting harder and harder to accomplish. To stand out, you need a flexible, nimble, scalable, always-on data platform that can deliver powerful, game-changing, customer-facing applications. Read this white paper to learn how DataStax Enterprise delivers comprehensive data management through a secure, operationally simple platform built on the best distribution of Apache Cassandra™.
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
In this eBook, we’ll take a look at why DataStax and Azure combine to make the ideal hybrid operational cloud database for the modern application needs of many of our large enterprise customers. The eBook explains how digital disruptors like Microsoft, Komatsu, and IHS Markit are leveraging the DSE+Azure hybrid cloud database to build game-changing applications built for the Right-Now Economy.
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Datastax
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled application
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TIBCO Software APAC
Published By: Workday     Published Date: May 09, 2018
ERP Must-Haves for Finance: Leave behind cumbersome reporting, spreadsheets, and data that offers zero insights. IDC MarketScape has put together a guide to help you find the best finance and accounting applications. Read an excerpt of the report to learn today’s must-have ERP capabilities and why the IDC MarketScape positioned Workday in the Leaders category.
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Workday
Published By: Avi Networks     Published Date: Aug 17, 2018
Flexible infrastructure choices and application architectures are changing the way that modern enterprises run their computing. Enterprises have become application-centric, investing significant effort and resources on continuous delivery goals and DevOps practices to achieve automation of routine IT and operations tasks. With application owners seeking public-cloud-like simplicity and agility in their own data centers, IT teams are under pressure to reduce wait times to provision applications and updates.
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Avi Networks
Published By: Amazon Web Services     Published Date: Aug 06, 2018
Learn more Salesforce and Amazon Web Services at http://amzn.to/2zhcn1v. Building and releasing cutting-edge applications quickly can be difficult when you lack proper tooling and integrated customer data. Salesforce Heroku delivers a cloud-native, developer-friendly platform that streamlines application development by integrating formerly siloed customer data and removing the burden of infrastructure management, allowing developers to focus their attention solely on creating customer-centric applications. Join the upcoming webinar to hear how the Financial Times builds customer-driven applications with faster cycle times with Heroku and AWS.
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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: Amazon Web Services     Published Date: Sep 05, 2018
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. 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. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: Datastax     Published Date: Aug 03, 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."
Tags : 
    
Datastax
Published By: Datastax     Published Date: Aug 03, 2018
Distributed cloud databases are transforming the way organizations do business. Read this new, informative guide to learn what distributed cloud databases are and why they’re what’s required to power Right-Now Economy applications. You'll also get straightforward yet detailed information on the database requirements for today’s applications, the limitations of relational databases, and the importance of data autonomy in database selection. With Designing a Distributed Cloud Database for Dummies, you'll learn how enterprises can meet and exceed customer expectations by way of modern applications and distributed cloud databases.
Tags : 
    
Datastax
Published By: Datastax     Published Date: Aug 03, 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"
Tags : 
    
Datastax
Published By: Datastax     Published Date: Aug 07, 2018
Applications designed for the public sector rarely get the treatment and attention they need or deserve. That’s about to change. A new climate of data speed and readiness, spawned by the Right-Now Economy and the Right-Now Customer, has made unlocking the full potential of all data a key aspect to delivering powerful, mission-critical applications that enrich lives as much as they save them. Read this white paper to learn how it happens
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Datastax
Published By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
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attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, data warehousing
    
Attivio
Published By: ASG Software Solutions     Published Date: Jul 29, 2008
Aligning IT and business perspectives requires the ability to create links between configuration information in the CMDB and the business service as experienced by the user. Service Dependency Mapping (SDM) products automate the process of creating and maintaining these links.
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asg, cmdb, bsm, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms, itsm, business analytics, business intelligence, business process automation, business process management, change management
    
ASG Software Solutions
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