Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data driven applications

Results 1 - 16 of 16Sort Results By: Published Date | Title | Company Name
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
Tags : 
    
Cisco EMEA
Published By: Riverbed     Published Date: Jul 17, 2013
In recent years Boston College has experienced rapid growth in data center network complexity. This complexity was driven by the need to provide a high level of fault tolerance to new, multi-tiered applications that had large bandwidth requirements. Read the case study to learn how the university deployed Riverbed Cascade™ to improve application performance management and increase network uptime.
Tags : 
boston, boston college, riverbed cascade, riverbed, cascade, application performance management, network uptime, bandwidth management, ethernet networking, local area networking, network management, network performance, network performance management
    
Riverbed
Published 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
Published By: Datastax     Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success. Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges. The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
Tags : 
datastax, customer data
    
Datastax
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
Tags : 
it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published By: NetApp     Published Date: Dec 15, 2014
Organizations today are increasingly information-driven, requiring them to create, organize, and store more data every day. To handle the conversion of “data to information”, you need an agile and scalable infrastructure which will provide the backbone to run multiple business-critical workloads simultaneously. This IDC white paper examines the need for the NetApp FAS8080EX hardware-optimized platform to help organizations transform into data-driven entities, adopt newer technologies, and invest in business-critical applications to stay ahead of their competition.
Tags : 
information-driven, data, scalable infrastructure, hardware-optimized platform
    
NetApp
Published By: Juniper Networks     Published Date: Feb 05, 2018
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study. As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
Tags : 
security, automation, savings, technology, cloud
    
Juniper Networks
Published By: AWS     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.
Tags : 
    
AWS
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa, it management
    
Red Hat
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms
    
Red Hat
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper and learn how administrators are keeping up by guiding their enterprises toward new, software-defined storage platforms that simplify and unify storage capacity across the enterprise and into the cloud.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms, it management
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to learn how Red Hat Storage Server allows CIOs to confidently support business growth, manage cost and risk, capitalize on emerging technologies, and drive future innovation across their organizations.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, big dataa, it management
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to find out how application architects can quickly and confidently deliver long-lasting applications that minimize cost, complexity, and risk while increasing architectural flexibility with Red Hat Storage Server, an open, software-defined storage platform.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platform, it management
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper and learn how administrators are keeping up by guiding their enterprises toward new, software-defined storage platforms that simplify and unify storage capacity across the enterprise and into the cloud.
Tags : 
red hat, architects, data driven applications, data, storage platforms, storage server, data defined storage platforms, it management
    
Red Hat
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
    
SAS
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.