data architecture

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Published By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
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data warehousing, artificial intelligence, data piplelines
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
THE LAMBDA ARCHITECTURE SIMPLIFIED Your Guide to Building a Scalable Data Architecture for Real-Time Workloads YOU'LL LEARN: - What defines the Lambda Architecture, broken down by each layer - How to simplify the Lambda Architecture by consolidating the speed layer and batch layer into one system - How to implement a scalable Lambda Architecture that accommodates streaming and immutable data - How companies like Comcast and Tapjoy use Lambda Architectures in production
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data, scalable, architecture, production
    
MemSQL
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: Apstra     Published Date: Feb 21, 2019
Modern data centers based on hyperscale, leaf-spine switching architectures are growing so large and complex they are outstripping the capacity of operators to engineer, configure and manage these networks using traditional tools and techniques. As a result, data center operators are looking for new ways to automate workflows, maximize uptime and increase operational agility while reducing operating costs
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acg, data center efficiency
    
Apstra
Published By: F5 Networks Inc     Published Date: Nov 05, 2014
F5 Networks is positioned in the Leaders Quadrant for Application Delivery Controllers for the eighth consecutive year. The application delivery controller (ADC) is a key component within enterprise data center and public cloud architectures, and according to Gartner, enterprises should evaluate ADCs based on how they integrate with key applications and cloud/virtualization platforms.
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application control, application delivery, adc, enterprise data center, it management, knowledge management
    
F5 Networks Inc
Published By: F5 Networks Inc     Published Date: Jun 24, 2015
Enterprises are moving to a software-defined, private cloud data center model for agility, operational efficiency, and a self-service approach to deploying applications and associated services. They are utilizing a two-tier hybrid services architecture to get the benefits of specialized hardware for front door network services and scalable software for application, stack-specific services. Read this whitepaper to learn how to integrate the necessary services with the orchestration and automation systems of a software-defined data center.
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appplication services, cloud, software, load balancing, iot, agility, automation, operational efficiency, networking, software development, it management, knowledge management, enterprise applications, business technology
    
F5 Networks Inc
Published By: F5 Networks Inc     Published Date: Jun 24, 2015
To meet the challenges of IT organizations, Cisco and F5 have developed a shared architectural vision and joint solution to simplify networking and solve pain points in next-generation data centers. The solution extends the F5 Synthesis architecture and programmable Software-Defined Application Services (SDAS) within the Cisco Application Centric Infrastructure (ACI), helping customers efficiently deliver applications that are fast, secure and available. Read the whitepaper to learn more.
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appplication services, cloud, software, load balancing, iot, agility, automation, operational efficiency, cisco ace, big-ip, deployment, software development, it management, enterprise applications, data management, business technology, data center
    
F5 Networks Inc
Published By: Extreme Networks     Published Date: Sep 24, 2014
Téléchargez ce livre blanc pour découvrir les étapes clés de la conception d’un Data Center répondant aux besoins d’aujourd’hui et de demain.
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data center, sdn, réseau, résilience, infrastructure, architecture réseau, extreme networks, networking
    
Extreme Networks
Published By: Datalink     Published Date: Jun 01, 2012
Assembling an internal private cloud or migrating to an external one is a challenge - both technically and organizationally. Datalink has answers - and a unified solution with the Datalink V-Scape Reference Architecture.
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v-scape, vscape, datalink, architecture, infrastructure, migration, storage, networking, cloud, virtualization
    
Datalink
Published By: Oracle Corporation     Published Date: May 11, 2012
Download this white paper to learn about the market-leading eCommerce solution and how improved performance can result in increased conversion rates and higher revenue.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
By using the Oracle Big Data Appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their data to make the most informed decisions. Read this whitepaper to learn about all of the key benefits of Oracle Big Data Appliance.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
Exadata Hybrid Columnar Compression is an enabling technology for two new Oracle Exadata Storage Server features: Warehouse Compression and Archive Compression. We will discuss each of these features in detail later in this paper, but first let's explore Exadata Hybrid Columnar Compression - the next generation in compression technology.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
This paper focuses on configuring Oracle GoldenGate to run on Sun Oracle Database Machine. Read this whitepaper to learn about all of the key features and benefits of this innovative solution.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
Exadata is Oracle's fastest growing new product. Much of the growth of Exadata has come at the expense of specialized DW appliance vendors. Take a look at the competitive comparisons these vendors have published and find out why they fall short.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Oracle Corporation     Published Date: May 11, 2012
This white paper presents two case studies that illustrate how Oracle Exadata increased storage capacity for data warehouses by 150%, reduced operational and database running costs by 50%, and on average improved database query performance by 10x.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: HP and Intel® Xeon® processor     Published Date: Feb 11, 2012
This white paper outlines an end-to-end storage and data protection architecture optimized for VMware vSphere.
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intel, storage, 2.0, infrastructure, trends, storage, flexibility, drivers, market dynamics, trends, converged, custom requirement, deduplication, tiering, protocol, foundation, security
    
HP and Intel® Xeon® processor
Published By: Oracle     Published Date: May 11, 2012
This report explains how the migration to the Exadata platform required no changes to system interfaces and allowed Turkcell to consolidate hardware and create a highly scalable framework to handle future growth.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle
Published By: Oracle     Published Date: May 11, 2012
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle
Published By: Oracle     Published Date: May 11, 2012
This paper reviews Oracle GoldenGate's capabilities and how it can be used to achieve zero downtime migration and consolidation to Oracle Exadata.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle
Published By: mindSHIFT Technologies     Published Date: Jul 01, 2014
In this whitepaper, you will learn how your company can benefit from cloud-based business continuity and the 10 steps it can take to execute an effective plan.
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mindshift, cloud, cloud based business continuity plan, business continuity plan, data management, data protection, scalability, cloud architecture, cloud infrastructure, business technology
    
mindSHIFT Technologies
Published By: VMware SD-WAN by VeloCloud     Published Date: Feb 19, 2019
As organizations prioritize digital transformation initiatives, many are finding that legacy networks are holding them back. To support new business models, cloud adoption, and an explosion in connected devices, modern networks must support interoperability across data centers, multiple clouds, branch locations, and edge devices. Applications now run at every point on this spectrum, and they are critical to businesses’ ability to win in hypercompetitive marketplaces. Yet, even as business success has become more dependent on this new architecture, and the amount of data flowing across connections has increased, many organizations still lack a unified approach to management, automation, and security.
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virtual cloud network, cloud adoption, data automation
    
VMware SD-WAN by VeloCloud
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems, enterprise applications
    
MuleSoft
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