analytics architecture

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Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: Teradata     Published Date: Feb 26, 2013
This report explores the evolution of big data analytics and its maturity within the enterprise. It discusses the approaches and economics to using a Discovery platform and Apache Hadoop within the same unified analytical architecture.
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big data analytics, experiences with teradata, apache hadoop, analytics, discovery platform, apache hadoop, teradata, it management
    
Teradata
Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management, data center
    
Teradata
Published By: BMC ASEAN     Published Date: Dec 18, 2018
400+ IT professionals reveal whats next for workload automation How are todays leading companies using workload automation to drive their most important IT initiatives? Find out in this detailed report summary from analyst firm Enterprise Management Associates (EMA). Youll learn how the role of workload automation is evolving, including: The rise of predictive analytics in WLA Surprising stats on the frequency and ease of migration How big data and cloud impact WLA The use of containers and micro services architectures Workload automation is changing fast. Keep up with the latest analyst research download the report.
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BMC ASEAN
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
CA Unified Infrastructure Management (CA UIM) is the only solution that provides unified analytics to proactively resolve issues. The solutions single platform architecture delivers comprehensive infrastructure coverage so you can optimally manage hybrid IT environments and meet the needs of agile IT operations.
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CA Technologies EMEA
Published By: IBM MidMarket Demand Generation     Published Date: Apr 09, 2012
"HP customers need to be aware that changes in server market trends are affecting Itanium. Read this Clabby Analytics paper to understand how industry consolidation and new server architectures are driving a new class of applications, leaving Itanium behind.
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ibm, technology, powervm, vmware, virtualization, intel platform, technology platform, application integration
    
IBM MidMarket Demand Generation
Published By: Juniper Networks     Published Date: Jul 31, 2019
As modernized data centers scale up and out, there is a strong potential for growing complexity as well. IT teams need to be vigilant in simplifying architectures and operations as the technological landscape changes. While the potential of monitoring and analytics in your data center is huge, to take advantage, you'll need an architecture that can handle shifting traffic patterns. In this expert eGuide, you'll discover three ways of simplifying architectures, and how they can help you reduce complexity, improve workforce efficiency, and ease administration.
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cloud providers, cloud provisioning, cloud services, data centre, data centre provider
    
Juniper Networks
Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
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data pipelines, analytics, database, machine learning
    
MemSQL
Published By: EMC Corporation     Published Date: Mar 20, 2014
New security threats demand a new approach to security management. Security teams need a security analytics architecture that can handle a much greater volume and wider scope of data than at present.
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emc, big data, incident response, malware detection, security journey, reduce risk, improve security, budget constraints
    
EMC Corporation
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
Published By: IBM     Published Date: Oct 13, 2017
This BARC document is the third edition of our BARC Score business intelligence vendor evaluation and ranking. This BARC Score evaluates enterprise BI and analytics platforms that are able to fulfill a broad set of BI requirements within the enterprise. Based on countless data points from The BI Survey and many analyst interactions, vendors are rated on a variety of criteria, from product capabilities and architecture to sales and marketing strategy, financial performance and customer feedback.
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barc. business intelligence, analytics, customer feedback
    
IBM
Published By: Enterprise Management Associates     Published Date: Aug 25, 2015
This webinar talks about various issues organization's deal with on a daily basis and how Hadoop can offer solutions.
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ema, hadoop, big data analytics, predictive insights, data lake architecture, hadoop adoption, enterprise management, business intelligence
    
Enterprise Management Associates
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding todays industrial sector with data. Information is streaming in from many sources equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intels leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: IBM     Published Date: Nov 09, 2012
This paper describes what operational analytics is and what it offers to the business. We explore its relationship to business intelligence (BI) and see how traditional data warehouse architectures struggle to support it.
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ibm, db2 analytics acclerator, analytics integration, business intelligence, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
This research report looks at the client driven redesign of mainframe performance and availability monitoring. Clabby Analytics also got the opportunity to review IBM's new OMEGAMON V5 mainframe which has improved it's features.
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omegamon v 5.1, ibm, mainframe, analytics, it architecture, enterprise applications, data management
    
IBM
Published By: SnowFlake     Published Date: Jul 08, 2016
Todays data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywherenot just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of todays data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
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snowflake, data, technology, enterprise, application, best practices, social media, storage
    
SnowFlake
Published By: SAS     Published Date: Sep 08, 2010
This paper describes five business analytics styles used today and the building blocks required in implementing these styles. It is important to consider which of these styles is valid for your organization now and into the future.
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sas, reporting, data warehouses, business activity monitoring, data integration, business analytics, service oriented architecture, data warehousing
    
SAS
Published By: Seagate Technology     Published Date: Apr 14, 2015
Surveillance systems are evolving from being used primarily for security purposes to being used for analytics and improved ROI. With that in mind, it's important to consider many factors and how they affect the architecture of your surveillance system. This webinar will provide some of the top trends that may affect the outcome of your storage architecture.
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surveillance, seagate, surveillance hdd, surveillance solutions, ip storage, storage management, biometrics
    
Seagate Technology
Published By: CrownPeak     Published Date: Jun 30, 2009
This is the second of a three part CrownPeak White Paper exploring Why Content Marketing Is Online Marketing. In this series we present the new idea that Web content marketing is the central and most important tenet of online marketing. Today, the function of online marketing revolves around the Web which, itself, revolves around content. So as we talk about online marketing/marketers and content marketing/marketers consider them and yourself one and the same. Learn more today!
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crownpeak, roi, web content marketing, cms, content management system, web site development, infocenter, hosted services
    
CrownPeak
Published By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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SAS
Published By: IBM     Published Date: Jan 09, 2014
In this Research Report, Clabby Analytics takes a closer look at IBMs Flex System converged architecture. The new Flex Systems advanced blade offering shines compared to its closest rival: traditional blade architecture. Flex System offers superior manageability, faster communications, more storage capacity (using up to eight internal solid state drives [SSDs] per compute node) and better storage management as well as broader/better physical/virtual system management than all of todays leading blade competitors.
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clabby analytics, ibm, flex system, architecture, blade architecture, puresystems, pureflex, virtualization
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Technologys role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise away from 100% dependencies on systems of records and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.
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Cisco
Published By: NEC     Published Date: Aug 12, 2014
NEC has introduced the Express5800/A2000 Series Servers to accommodate enterprise application demands with peak server reliability, availability, and serviceability. The new server architecture and NEC engineering functionality align well with many of the most important IT priorities in 2014, including virtualization, big data and advanced data analytics. With the Express5800/A2000 Servers, NEC has the opportunity to educate application owners and work with system integrators to drive awareness and ultimately investment in its new server platform, which will help drive customer value. In this white paper, you will learn how these next-generation servers from NEC are ready to accommodate some of todays demanding workloads.
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servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability
    
NEC
Published By: NEC     Published Date: Aug 12, 2014
By now, much has been written about the advantages server virtualization brings to an enterprise. In the June 2013 survey, 63% of all companies and 100% of large enterprises reported having a server virtualization program. However, when you segment the virtualization rates, you find a trend that indicates that large enterprises in particular are not gaining all of the advantages that server virtualization has to offer. What is more difficult and remains a challenge, particularly for large enterprises, is virtualizing Tier 1 applications. These are large, mission-critical enterprise applications such as email, customer relationship management (CRM), or enterprise resource planning (ERP). These applications tend to be very large, consume the entire capacity of a current generation server, and require high application uptimes. As shown in Figure 1, the virtualization rates for these applications are far lower than Tier 2 apps. In this eBook, youll learn how the NEC enterprise server provides a platform that now gives customers the right platform to virtualize their Tier 1 apps.
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servers, virtualization, customer value, analytics, application owners, system integrators, big data, reliability
    
NEC
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