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By: Juniper Networks     Published Date: Jun 22, 2017
In today’s technology-driven world, a financial services organization’s ability to evolve the business quickly depends on the network. MetaFabric architecture, which is the foundation of Juniper’s unique end-to-end data center networking solution, helps financial services firms respond confidently to whatever happens in the market. With an open, simple, and smart network in place, organizations can adapt quickly and seamlessly to changing requirements while eliminating the disruptions of forced upgrades and unnecessary purchases that come with vendor lock-in. Most importantly, the MetaFabric architecture helps companies stay at the forefront of innovation, keeping them one step ahead of the competition.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Juniper Networks
By: Juniper Networks     Published Date: Jun 22, 2017
Businesses increasingly recognize that their customers and workers are engaging in ways that were inconceivable when their essential applications were first architected, according to Chris Rechtsteiner, vice president of marketing for ServerCentral. “A group in one country has to have the exact same service levels as a location in another country, and half the people are internal end users, while the other half are external customers,” he says. As their businesses have globalized, their most strategic applications have struggled to keep pace. “Companies are coming to us, asking ‘How do we do this? How do we solve this problem?’ That’s really what it comes down to.”
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Juniper Networks
By: Juniper Networks     Published Date: Jun 29, 2017
The bank wanted to modernize its global data center core and edge networks to move to the next stage of its private cloud journey. The bank has long recognized the advantages of server virtualization, and it wanted to move more aggressively to a software-defined data center. The bank was virtualizing all services, including compute, storage, and network, to gain greater business flexibility and deliver cost savings. But first, it needed an elastic, flexible, and production ready network to connect its data centers. The bank wanted a dynamically scalable network to interconnect its data centers in Europe, Asia, and North America, so that it could move toward a fully automated, self provisioned cloud. The global network needed to deliver performance at scale for the company’s highly virtualized resources, while also supporting integration of legacy assets into its software-defined data centers.
Tags : cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     Juniper Networks
By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
Tags : hadoop, infosphere, data, customer insights
     Group M_IBM Q1'18
By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     IBM
By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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     Cloudian
By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
Tags : 
     Cloudian
By: HERE Technologies     Published Date: Feb 12, 2019
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers. Download the eBook
Tags : location data, transport & logistics, location services
     HERE Technologies
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