enterprise hybrid cloud

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Published By: Datastax     Published Date: Apr 08, 2019
It is all about clouds: private, public, or a combination. 85% of enterprises have a multi-cloud strategy, as per the RightScale 2017 State of the Cloud Report. Most enterprises today have one or more application projects utilizing public cloud infrastructure providers. Having a data management strategy for hybrid cloud is a critical business need today.
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Datastax
Published By: Datastax     Published Date: May 20, 2019
DataStax Enterprise and Apache Kafka are designed specifically to fit the needs of modern, next-generation businesses. With DataStax Enterprise (DSE) providing the blazing fast, highly-available hybrid cloud data layer and Apache Kafka™ detangling the web of complex architectures via its distributed streaming attributes, these two form a perfect match for event-driven enterprise architectures.
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Datastax
Published By: Datastax     Published Date: May 20, 2019
Hybrid cloud has arrived. Whether companies have intended to move to hybrid cloud or not, the hybrid cloud reality is here, and while the advantages are numerous, so are the challenges. From data governance to scaling real-time applications, this white paper explains the main issues enterprises typically face with hybrid cloud.
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Datastax
Published By: Juniper Networks     Published Date: Jun 22, 2017
Juniper’s security solutions seamlessly extend across private and public cloud architectures without compromising security, flexibility, and manageability. With midrange, high-performance, space-efficient, next-generation firewalls, smarter and faster centralized management, and highly evolved security intelligence and automation tools, Juniper Networks allows you to secure your network, keep operational costs down, and easily migrate to a hybrid cloud architecture. For more information about Juniper’s security solutions, please visit us at www.juniper.net/us/en/products-services/security and contact your Juniper Networks representative.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
The impact of cloud computing and software-defined networking (SDN), including network virtualization, has convinced large enterprises and customers building private, public, and hybrid cloud networks to consider new approaches to help them meet their current and future data center switching needs. Data center switching platforms are constantly evolving, delivering increasingly better performance while simplifying network operations.
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scaling, memory, asic platforms, broadcom, tomahawk platforms, juniper networks, multivector scaling, memory architecture
    
Juniper Networks
Published By: Turbonomic     Published Date: Nov 12, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how t
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Turbonomic
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: NuoDB - Neo Banks - Q4-19     Published Date: Feb 04, 2020
NuoDB empowers businesses to become agile and always on, to quickly respond to changing customer, competitive, and business demands by providing a container-native SQL database for enterprise critical transactional applications in hybrid cloud, distributed, or multi-data center environments. NuoDB’s distributed SQL database offers the benefits of traditional databases, including ACID transactions, SQL support, and enterprise capabilities, plus the core strengths of NoSQL: it’s always on, cloud-native, and provides on-demand scalability.
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NuoDB - Neo Banks - Q4-19
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