data architecture

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Published By: RagingWire Data Centers     Published Date: Oct 09, 2015
Data Center Migration, three words that can cause sleepless nights to even the most experienced professionals involved in enterprise IT and facilities departments. While it can be a daunting challenge, it also offers a great opportunity to improve and rethink your IT architecture and examine how well it meshes with your organization’s long term business strategies. This whitepaper examines some of the major strategic issues that should be an integral part of your evaluation when forming a data center migration strategy.
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RagingWire Data Centers
Published By: Emerson Network Power     Published Date: Mar 18, 2016
In this report, we’ll overview several alternative power configurations that improve overall cost and deployment speed while providing the availability levels required for this new generation.
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Emerson Network Power
Published By: Dell EMC     Published Date: Aug 22, 2017
Dell EMC Isilon, the #1 Scale-Out NAS platform, continues to transform the way organizations are deploying, protecting and managing their fast growing unstructured data. This session by Eric Seidman, Senior Manager, Product Marketing, Dell EMC will introduce attendees to the new generation of Isilon Scale-Out NAS family. Also covered will be a deep dive into the new Isilon architecture and a closer look at the six new Isilon systems – powered by the new OneFS 8.1 – which were announced at Dell EMC World 2017. Attend this session to learn how Isilon’s latest enhancements can revolutionize your business.
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Dell EMC
Published By: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
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hadoop, flexibility, scalability, data architecture
    
IBM
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: IBM     Published Date: Nov 08, 2017
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
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data warehouse, analytics, ibm, deployment models
    
IBM
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Replacing your aging infrastructure with a modern Oracle SPARC and Solaris architecture boosts the security, efficiency and performance of your data center. But, what about ongoing business growth and expansion? With the same architecture on-premises and in the Oracle Cloud, SPARC provides the easiest, most cost effective approach to modernizing your business infrastructure. Download this whitepaper to completely understand the value of the Oracle SPARC and the 5 reasons to modernize your data center with Oracle SPARC.
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Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of today’s most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intel’s x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle Hardware
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s 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 Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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hyperflex, systems, data platform, storage efficiency, business, cisco
    
Cisco EMEA Tier 3 ABM
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
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