data system

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Published By: SAS     Published Date: Aug 03, 2016
Imagine that you are in a meeting with several department heads discussing issues around enrollment. As people begin to share their thoughts, you quickly realize that each person in the room is working from conflicting information – and everyone thinks their information is correct. The group spends most of the meeting arguing over whose data and reports are correct rather than understanding the problem and making decisions. Sound familiar? When organizations have their data fragmented across many systems and departments, these situations are all too common. Without a single, trusted source of truth and easyto- use tools to interpret and understand the data, conversations are limited by everyone’s departmental perspectives and resources.
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best practices, enterprise, competitive advantage, technology, data
    
SAS
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to JD Edwards” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s view on how to get better reporting and analytics from ERP and other critical data sources How Bibby Distribution gave users throughout the company the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
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Insight Software
Published By: Insight Software     Published Date: Oct 03, 2017
Forget making business decisions with outdated data. Keep operations on track with real-time insights from every facet of your business including finance to supply chain management. “The Operations Guru’s Guide to Oracle EBS” will help you master more efficient company operations so you can focus on making a massive operational impact. Tactical insights, covering: How your team can create usable, sharable reports and web-based dashboards tracking progress against company-wide KPIs from multiple systems, without leaning heavily on IT An industry analyst’s take on how to get better reporting and analytics from ERP and other critical data sources How Finance and IT leaders at Ladbrokes replaced Oracle reports and quit having to manipulate data in static spreadsheets
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Insight Software
Published By: Tripwire     Published Date: Mar 31, 2009
How do organizations pass their PCI DSS audits yet still suffer security breaches? Paying attention to PCI DSS checklists only partially secures the cardholder environment. Learn the next steps for fully securing your data.
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tripwire, pci checklist, security, cardholder security, enhanced file integrity monitoring, pci dss audits, security breaches, compliance, regulation, configuration assessment, it security, global payment system, risk, risk management, firewall, data protection, cis, disa, sans, routers
    
Tripwire
Published By: MarkLogic     Published Date: Nov 08, 2016
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Download now to learn more.
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MarkLogic
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: IBM     Published Date: Oct 26, 2015
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
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ibm, ibm watson, big data, data center, data analysis
    
IBM
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, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: IBM     Published Date: Jan 09, 2014
While some organizations are already utilizing Big Data or various large enterprise analytics techniques, many more are still working to grasp how these new usage models might help them. There’s a lot of undiscovered value in the vast amounts of data they currently have and the data that they can get from other sources. They know that they can somehow convert this data into insights that will let them ramp up efficiency and be ready for tomorrow today.
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big data, enterprise analytics, red hat, data analytics, powerlinux system, powervm virtualization
    
IBM
Published By: BlackLine     Published Date: Aug 06, 2018
BlackLine Account Reconciliations drives financial close accuracy by automating and standardising the reconciliation process. Quickly import transactions and balances from any ERP and compare it to source data to ensure completeness and accuracy. Automatically identify differences and focus your attention on discrepancy research and resolution. Consolidate all comments and supporting documents in one centralised repository, and gain visibility into your reconciliation process. Eliminate the manual financial close process and work smarter with BlackLine’s automated account reconciliation system.
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BlackLine
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
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TIBCO Software GmbH
Published By: Intel     Published Date: Nov 13, 2019
The combination of the SAP HANA platform and Intel® Optane™ DC persistent memory means that enterprises now have new ways to approach data tiering and management. Downtime can be significantly reduced because SAP HANA doesn’t have to reload data back into main memory after a server reboot, and more data can remain in the “hot” tier of main memory, which increases the amount of data that can be analyzed at a time. See this new infographic for a quick summary. Intel® Optane™ DC persistent memory also benefits SAP HANA by providing a higher memory density than DRAM, in addition to being byte-addressable. Up to three terabytes of Intel® Optane™ DC persistent memory is available per CPU socket on systems configured with future Intel® Xeon® Gold processors and future Intel® Xeon® Platinum processors, which means that an eight-socket server can contain up to 24 terabytes of Intel® Optane™ DC persistent memory.
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Intel
Published By: CA Technologies     Published Date: Apr 06, 2017
Privileged identity, accounts and credentials are core, critical assets for enterprises that must be highly protected through a combination of technology and processes which are enabled by privileged access management. Delivering that protection is instrumental in breaking the data breach kill chain, helping to prevent attacks and mitigating the impact of those that do occur.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
CA Technologies
Published By: IBM     Published Date: Jun 25, 2018
A collaboration between IBM and CLS, the largest provider of settlement and risk mitigation services for the global foreign exchange market, showed how financial institutions can reap blockchain’s benefits by managing and minimizing risks to the existing business. Instead of a wholesale approach of replacing existing systems, new functionalities were gradually embedded into current processes, moving data from legacy systems to the new blockchain solution operating in parallel. Read this report to learn more about the ongoing CLS-IBM blockchain initiative and what drives the success of its commercial implementation. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Pillar Data Systems     Published Date: Apr 20, 2010
This paper will examine the 5 ways storage waste is persisting and growing in the midst of Green IT initiatives and how to end storage waste.
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pillar data systems, storage waste, green it, server virtualization, data center, san, production deployment
    
Pillar Data Systems
Published By: SAS     Published Date: Sep 30, 2014
How The University of Texas System is increasing transparency to the public with dynamic data visualizations.
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sas, dynamic data visualizations, the university of texas system
    
SAS
Published By: CDW     Published Date: Apr 04, 2016
Cloud computing is increasingly being adopted as a way for IT organizations to decrease costs, improve efficiency, and enhance business agility. NetApp has been helping companies succeed in cloud deployment to achieve tangible results since long before the term cloud entered the popular lexicon. NetApp has the people, technologies, and partnerships in place to help organizations evolve existing IT infrastructure into an efficient cloud-based service delivery model. The NetApp® Unified Storage Architecture and clustered Data ONTAP® operating system integrate all storage capabilities into a single, easy-to-use platform. By choosing NetApp when making the transition to a private cloud or a hybrid cloud, organizations will be able to meet their storage business needs now and in the future.
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cloud management, cloud services, cloud management, it infrastructure, cloud application, cloud computing, infrastructure, technology, storage management
    
CDW
Published By: CDW - NetApp     Published Date: Apr 07, 2016
Cloud computing is increasingly being adopted as a way for IT organizations to decrease costs, improve efficiency, and enhance business agility. NetApp has been helping companies succeed in cloud deployment to achieve tangible results since long before the term cloud entered the popular lexicon. NetApp has the people, technologies, and partnerships in place to help organizations evolve existing IT infrastructure into an efficient cloud-based service delivery model. The NetApp® Unified Storage Architecture and clustered Data ONTAP® operating system integrate all storage capabilities into a single, easy-to-use platform. By choosing NetApp when making the transition to a private cloud or a hybrid cloud, organizations will be able to meet their storage business needs now and in the future.
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cloud management, cloud services, cloud management, it infrastructure, cloud application, cloud computing, infrastructure, technology, storage management
    
CDW - NetApp
Published By: Akamai Technologies     Published Date: Jul 02, 2019
In today’s markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities — from first registration and login to the later stages of the customer relationship — and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM). When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy). Read this white paper for an in-depth analysis of CIAM implementation options, including: ? Must-haves for a successful, enterprise-grade CIAM system ? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions ? A real-world case study that illustrates the ROI of an effective CI
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Akamai Technologies
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