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Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
The whitepaper is intended for security practitioners as well as developers and administrators of applications who can benefit from secure communications. The paper presents carious strategies for securing applications using Oracle Solaris 11 security and hardware-assisted cryptographic acceleration features of Oracle's SPARC processors. The paper unveils the core mechanisms, configuration, and deployment strategies, as well as the role of relevance of using Oracle Solaris Cryptographic Framework and Java Cryptography Extension-based techniques for delivering a high-performance, end-to-end security solution. With Oracle's new Software in Silicon capabilities coupled with an innovation cache and memory hierarchy, Oracle's SPARC M7 processor delivers dramatically higher processing speed and revolutionary protection against malware and software errors.
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Oracle PaaS/IaaS/Hardware
Published By: IBM     Published Date: Mar 13, 2014
This report will discuss IBM EXA efforts and technologies, examine the features and capabilities that new X6 solutions deliver and consider how these offerings will benefit midmarket and enterprise customers and impact the broader market.
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ibm, server design, memory, processor, software, processing power, data, exa, enterprise, business technology, research
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
3 factors are needed by an infrastructure to optimize cloud performance, this eBook shows how IBM System x uses all 3 to increase business agility and reduce costs.
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ibm, server design, memory, processor, software, processing power, data, cloud performance, business agility, research
    
IBM
Published By: IBM     Published Date: Mar 13, 2014
A detailed research report into the x86 server limitations and how IBM X6 offerings help address these limitations
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ibm, server design, memory, processor, software, processing power, data, business technology, research
    
IBM
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, aster, snap, framework, apache, hadoop, yarn, architectures, data management, business technology
    
Teradata
Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges, technology, framework, apache, hadoop, architecture, warehouse, optimization, security, scalability, consistency, flexibility, data management
    
Teradata
Published By: BMC Software     Published Date: May 28, 2014
Learn how BMC Control-M for for Hadoop allows IT to extract value from big data, with clear visibility, predictability and increased productivity and efficiency.
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it management, enterprise applications
    
BMC Software
Published By: BMC Software     Published Date: May 28, 2014
Download this white paper to learn how a well-architected workload automation solution can help you: • Shrink application development time and cost • Deliver higher quality digital services • Increase IT’s agility to meet the demands of the business"
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it management
    
BMC Software
Published By: BMC Software     Published Date: May 28, 2014
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: • How to ensure that your Big Data projects will drive clearly defined business value • The operational challenges each Big Data initiative must address • The importance of using an enterprise approach for Hadoop batch processing
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it management
    
BMC Software
Published By: BMC Software     Published Date: May 28, 2014
This paper, "Workload Automation – From Application Development to Digital Service Delivery," describes how a workload automation solution can eliminate the manual processes developers now use to define batch workflows and communicate them to schedulers.By extending the use of workload automation to developers, organizations can implement applications faster, slash costs, and increase service quality.
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big data, hadoop, it management, enterprise applications, business technology
    
BMC Software
Published By: Netsuite DWASF Leads Display Q1 2015     Published Date: Feb 03, 2015
A step-change in the pace of business today brings enterprise resource planning (ERP) systems face-to-face with the largest transformation in their role since they were first introduced in the early 1990s. The rise of a new generation of business automation demands real-time information processing and visibility on a scale that was unthinkable just a few years ago. Coupled with—and in large part enabled by—this new wave of business automation, there has been a surge in the pace of business itself. Learn how Real-Time ERP puts you and your business at the forefront of this change.
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real-time erp, enterprise, business automation demands, information processing and visibility
    
Netsuite DWASF Leads Display Q1 2015
Published By: NetApp     Published Date: Sep 26, 2018
Get practical advice from IT professionals on how to successfully deploy all-flash arrays for Oracle, SAP and SQL Server workloads in a SAN environment. You'll explore topics such as transaction processing speed, storage management, future requirements planning, workload migration and more.
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netapp, flash, san, workload, netapp
    
NetApp
Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies
Published By: Lucidworks     Published Date: Dec 14, 2016
Download this whitepaper to learn about the benefits and trade-offs of contextual and data-based analysis. Recommendations and answers are provided by the next generation of enterprise applications that use search-based features and capabilities to improve performance and add value.
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Lucidworks
Published By: TIBCO Software     Published Date: Aug 13, 2018
Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
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TIBCO Software
Published By: Trifacta     Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people. In this latest Data Science Central webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business. Watch this recorded webcast to learn: What are the foundational roles within a modern dataops team a
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Trifacta
Published By: Trifacta     Published Date: Feb 12, 2019
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work with data at a scale and speed that many of us would have never thought was possible. Yet, why are so many organizations still struggling to drive meaningful ROI from their data investments? The answer starts with people. In this webinar, guest speakers Forrester Principal Analyst Michele Goetz and Trifacta Director of Product Marketing Will Davis focus on the roles and responsibilities required for today’s modern dataops teams to be successful. They touch on how new data platforms and applications have fundamentally changed the traditional makeup of data/analytics organizations and how companies need to update the structure of their teams to keep up with the accelerate pace of modern business. Watch this recorded webcast to learn: What are the foundational roles within a modern dataops team and how to align skill set
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Trifacta
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Mar 28, 2019
US based leading multinational mass media conglomerate had high volume of actionable tickets open for resolution and other related challenges for which LTI helped in building an event correlation system to find out the Root Cause Analysis of multiple events and analyse number of tickets. This was achieved by leveraging Mosaic Decision platform for processing. Download complete case study.
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Larsen & Toubro Infotech(LTI)
Published By: IBM     Published Date: Jul 05, 2016
This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support.
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ibm, always on business, cloud, big data, oltp, ibm db2 purescale, networking, knowledge management, enterprise applications, data management, business technology, data center, data science, data storage, data security
    
IBM
Published By: Intel     Published Date: Feb 28, 2019
The confluence of AI and Industry 4.0 is transforming image processing. As image vision becomes widespread, there is an increasing need to transition stand-alone imaging to an integrated driver of automation feeding insights back into the business systems that monitor overall factory performance. Download the whitepaper to learn more about fitting multiple demands into a single platform— • Building an industrial system with advanced functions like machine vision and Industry 4.0 connectivity • Minimizing the footprint of the systems to save space, cost and power consumption • Adhering to principles of long life, safety, reliability, real-time control functionality alongside AI and IIOT capabilities
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Intel
Published By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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Intel
Published By: Esker     Published Date: Dec 18, 2015
Read our eBook, The Great SAP Order Processing Predicament, to learn how 100% electronic order processing can be achieved via one universal automation platform.
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esker, sap order, processing predicament, electronic order processing, universal automation, knowledge management, data management
    
Esker
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