data architecture

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Published By: Inside HPC Media LLC     Published Date: Nov 11, 2019
In a world characterized by ever-increasing generation and consumption of digital information, the ability to analyze data to find insights in real time has become a competitive advantage. An advanced network must address how best to transfer growing amounts of data quickly and efficiently, and how to perform analysis on that data on-the-fly. The Co-Design technology transition has revolutionized the industry, clearly illustrating that the traditional CPU-centric data center architecture, wherein as many functions as possible are onloaded onto the CPU, is outdated. The transition to the new data-centric architecture requires that today’s networks must be fast and they must be efficient, which means they must offload as many functions as possible from the CPU to other places in the network, enabling the CPU to focus on its primary role of handling the compute.
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Inside HPC Media LLC
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
Research shows that organizations that can increase BI adoption will come out ahead in their industry, but most enterprises report that adoption remains at around 30%. How can they overcome challenges like data silos, education gaps, and more? With pervasive experiences, scalability, and an open architecture—and MicroStrategy can deliver it all in our newest platform. MicroStrategy 2019 is the industry's first modern analytics platform, featuring: Federated Analytics—guaranteeing a single version of the truth, no matter what BI tools you use Transformational Mobility—bringing analytics to every device and every constituent HyperIntelligence™—the breakthrough technology that delivers insights with zero clicks Read the MicroStrategy 2019 white paper to learn more!
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MicroStrategy
Published By: Datastax     Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures. Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
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Datastax
Published By: Citrix ShareFile     Published Date: Oct 04, 2019
Modern app delivery for an adaptive, optimized network To succeed in today’s cloud-first world, you need to manage and deploy modern applications in parallel with legacy applications. But traditional application delivery controller (ADC) solutions can’t bridge the gap between these two environments. See and hear how you can streamline the delivery of apps, desktops and data into a unified, fully integrated digital workspace experience. Download this brief to find out how you can: • Get one platform for traditional and modern application delivery • Support hybrid and multi-cloud environments • Convert and migrate legacy apps to microservices application architectures
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Citrix ShareFile
Published By: AWS     Published Date: Oct 01, 2019
Informatica is a leader in Enterprise Cloud Data Management, providing solutions that help organizations optimize, transform, and analyze their data. Informatica’s Intelligent Data Platform is built on a microservices architecture, helping organizations ensure their data is trusted, secure, governed, accessible, timely, relevant, and actionable on-premises or on the cloud.
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AWS
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: Datastax     Published Date: Sep 27, 2019
The holiday shopping season is the ultimate test of your database architecture. An outage can have devastating effects on your year's profits, not to mention your business's reputation. The key to success is a database that scales out seamlessly to keep you up and running smoothly. Read this report to learn five key ways a distributed, scale-out database can provide stability, manageability, and reliability—during the holidays and beyond.
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Datastax
Published By: Datastax     Published Date: Sep 27, 2019
Every holiday season sets new records for database traffic, and old-guard database architectures simply aren't up to the task. In this white paper, you'll learn how to ensure your enterprise thrives under the year-end pressure—without wasting resources by overprovisioning.
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Datastax
Published By: Intel     Published Date: Sep 27, 2019
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
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Intel
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data is multiplying rapidly in quantity and variety for enterprises of all kinds. In multicloud environments, a range of data sources is exponentially increasing the stream of incoming information, from the Internet of Things and social media, to mobile devices, virtual reality implementations and optical tracking. While organizations are readily investing in artificial intelligence (AI), most haven’t done due diligence to understand their data or ensure the quality of data needed to benefit from AI solutions. In many organizations, their data is inaccessible, unreliable, or non-compliant with data privacy and protection rules.
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Group M_IBM Q4'19
Published By: Oracle     Published Date: Sep 26, 2019
It’s not uncommon to find slick-looking user interfaces, well-run product demos, and exciting sales narratives when evaluating a data management platform (DMP), but don’t let those features distract from the elements needed for day-to-day and long-term strategic success of a DMP. Whether you’re looking to invest in a DMP for the first time or want to switch to a new provider, there are a few crucial factors to consider before signing on the dotted line. Key functionality, architecture, and partnership dynamics are all important factors, but they rarely surface until your team is hands-on and using the platform. Once you dig in, it can quickly become apparent that a shiny interface and smart storytelling are a distraction from what really matters—at this point, it’s often too late. Avoid buyer’s remorse by considering these seven facets of all DMP providers before making your decision.
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Oracle
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
Today’s buildings and workplaces are major generators and receivers of data. By capturing and analyzing this data, organizations can gain improved understanding of their operational effectiveness, accelerated ability to react to change and increased returns from real estate-related decisions. This IBM buyer's guide outlines the features and capabilities of an effective IWMS, addressing the following key areas: Real estate management, Capital project management, Facilities management, Facilities maintenance and operations, Environmental and energy management, Cross-functional capabilities, Management system architecture. Create smarter buildings by integrating workplace data with analytics and automation with IBM TRIRIGA. Download the whitepaper.
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Group M_IBM Q4'19
Published By: Intel     Published Date: Sep 25, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: Intel     Published Date: Sep 25, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: Intel     Published Date: Sep 20, 2019
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts. That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey: • Establishing an organizational foundation • Mapping the data pipeline • Transitioning analytics proofs of concept into production
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Intel
Published By: Gigamon     Published Date: Sep 03, 2019
The IT pendulum is swinging to distributed computing environments, network perimeters are dissolving, and compute is being distributed across various parts of organizations’ infrastructure—including, at times, their extended ecosystem. As a result, organizations need to ensure the appropriate levels of visibility and security at these remote locations, without dramatically increasing staff or tools. They need to invest in solutions that can scale to provide increased coverage and visibility, but that also ensure efficient use of resources. By implementing a common distributed data services layer as part of a comprehensive security operations and analytics platform architecture (SOAPA) and network operations architecture, organizations can reduce costs, mitigate risks, and improve operational efficiency.
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Gigamon
Published By: Intel     Published Date: Aug 26, 2019
5G services will place greater demands on the network in terms of peak data rates, connection density, and more. Learn how CoSPs are getting ready for 5G and how Intel® architecture is helping accelerate network transformation.
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Intel
Published By: HERE Technologies     Published Date: Aug 12, 2019
More sophisticated cameras and vehicle sensors are enabling new ADAS features and the deployment of highly autonomous vehicles. However, reactive decisions and camera-based systems struggle when lane markings fade, snow or dirt covers the road, and the environment changes. Map-based Lane Keeping with HERE HD Live Map from VSI Labs examines how HD map assets can improve the safety and performance of automated vehicle features. Download this free report to learn: • How map data improves the performance and safety of ADAS features • How map-based systems outperform computer vision only system • The architecture of VSI’s map-based lane keeping system
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HERE Technologies
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
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
Data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data. This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide.
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Cohesity
Published By: Juniper Networks     Published Date: Jul 31, 2019
When data center architecture extends beyond even moderate amounts of sophistication and complexity, it becomes a daunting challenge for operators to understand what is going on by relying on common tools and processes alone. Read this eGuide for five recommendations that can help you make sense of your data.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
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