data management

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Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how the IIoT, big data, and augmented reality are enabling a new era of cost reduction, asset management, and worker safety in water and wastewater processing.
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augmented reality, big data, water
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jul 01, 2019
Data-driven asset performance management can help food & beverage manufacturers leverage tools such as equipment efficiency solutions, augmented reality and secure asset connection to transition from a reactive to a prescriptive approach. This will not only help reduce CapEx and OpEx, but also empower the workforce, whilst meeting manufacturing KPIs. This report from Frost & Sullivan shows how manufacturers can achieve 20-30% cost savings by changing their asset maintenance approach.
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asset performance, food and beverage, manufacturing
    
Schneider Electric
Published By: Riskified     Published Date: Aug 06, 2019
Legacy fraud detection systems often approve or decline orders based solely on a handful of order details. Modern solutions are far more sophisticated, instantly considering hundreds of data points for each order, resulting in more accurate decisions. Savvy merchants expect much more from their fraud management solutions than simply a risk score.
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Riskified
Published By: ETQ     Published Date: Jul 10, 2019
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection." Download this Gartner Analyst Guide to learn: Key challenges in the QMS software selection processes What to expect from different QMS solutions across the market Analysis of the current state of quality management to help define software requirements Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
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ETQ
Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
It’s important to understand the impact of AI workloads on data management and storage infrastructure. If you’re selecting infrastructure for AI workloads involving ML and deep learning, you must understand the unique requirements of these emerging workloads, especially if you’re looking to use them to accelerate innovation and agility. This Gartner report highlights three main impacts that AI workloads have on data management and storage.
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IBM APAC
Published By: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages
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TIBCO Software
Published By: TIBCO Software     Published Date: Jun 14, 2019
Reinventing the Yellow Pages Directory: How YellowAPI Became an Engine for Digital Transformation
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TIBCO Software
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     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 Q3'19
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat provides the difference you seek in a data storage solution for media and entertainment organizations. New demands have everyone in the industry feeling the impact of high latency storage and its impact on efficiently delivering speed to market on new and dense workload management. The Infinidat unified storage architecture enables the scale, performance and best overall TCO required to deliver an extreme competitive advantage to media and entertainment companies.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
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Infinidat EMEA
Published By: Oracle     Published Date: Jun 04, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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Oracle
Published By: Dell EMC     Published Date: Aug 01, 2019
Pursuing agility to truly impact business transformation requires embracing date center modernization as a core competency. Crucial to this is having the most up-to-date IT instructure to support the scale and complexity of a changing technology landscape. Companies must embrace this imperative by adopting software-defined data center principles, embracing modernization, and automating their IT management processes. Those that do will propel business innovation and deliver superior customer experiences with fast, secure, and reliable business technology. Download this whitepaper from Dell and Intel® to learn more.
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Dell EMC
Published By: Juniper Networks     Published Date: Jul 29, 2019
Get the Secrets to Designing a Resilient, Secure Campus Network. Download our 2019 buyer's guide to learn more. It’s challenging to design, deploy, and manage a campus network. Adding to this, aging equipment can slow your network down and hinder your ability to advance IT innovations that help keep your business competitive. What's more, the proliferation of devices and IoT sensors can expose your network to cyberattacks and other security threats. Our 2019 Buyer’s Guide can help you modernize your campus network, reducing OpEx while delivering a richer, more reliable user experience. Learn about the key trends and challenges that shape your campus network design and the essential considerations that should influence your selection process.
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multiprotocol label switching (mpls), switching, ethernet network services, data center design, data center management
    
Juniper Networks
Published By: Juniper Networks     Published Date: Jul 31, 2019
When considering data center security, you will need to decide which security functions need to be deployed and where you want to deploy them. These functions are expected to be implemented wherever a firewall is used. Read our eGuide to find out which security functions to deploy, and where to deploy them, including: • Next-generation firewalls • Intrusion prevention systems • Centralized security management
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: Cohesity     Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
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Cohesity
Published By: Cohesity     Published Date: Aug 09, 2019
In a context of mass data fragmentation on-premises and in the cloud, organizations now struggle with the compounded complexities brought about by modern workloads such as containers, NoSQL/NewSQL databases, and SaaS applications. These new workloads are turning traditional backup and recovery approaches on their head—in particular, in Microsoft Office 365 deployments for which new backup, recovery, and data management schemas must be deployed.
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Cohesity
Published By: Cohesity     Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. They’re tasked with consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others. As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use of all of their data—both on-premises and in the cloud? Five enterprises explain how they’ve replaced multiple products that created legacy data silos with Cohesity – a single, hyperconverged softwaredefined platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster recovery and cloud-native backup in a proven hybrid cloud architecture.
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Cohesity
Published By: Cohesity     Published Date: Aug 09, 2019
An Italian bank with an appetite for innovation and infrastructure standardization, automated, and cloud-ready Cohesity Data platform. In two years, the organization has simplified its secondary stage environment with a single data management pane to improve backup SLAs, cut costs, and deliver up-to-date and relevant data for test & dev and analytics teams at scale to test fast, fail fast, and innovate fast.
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Cohesity
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
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