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enterprise data management

Results 276 - 285 of 285Sort Results By: Published Date | Title | Company Name
Published By: VMware     Published Date: Feb 24, 2017
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.
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VMware
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Datastax     Published Date: Aug 07, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 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 15, 2018
"True data protection and compliance starts at the data layer. When enterprises think of how best to protect their data and meet ever stricter and more complex compliance requirements, they should first and foremost be considering their data management solution. Read this white paper to learn how DataStax Enterprise Advanced Security allows enterprises to protect their data via features such as authentication, authorization, and data auditing, and also meet regulatory compliance requirements by leveraging advanced security features in accordance with best practices."
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Datastax
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: 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.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
Juniper Networks
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
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