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Published By: Denodo     Published Date: Mar 01, 2019
With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources. Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data. Learn how you can: • Conquer siloed data in the enterprise • Integrate all data sources and types • Cope with regulatory requirements • Deliver big data solutions that work • Take the pain out of cloud adoption • Drive digital transformation
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Denodo
Published By: Ted Hills     Published Date: Mar 08, 2017
Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. In this paper I examine the meaning of tuples and relations containing “null values”. For the type of “null value” representing unknown data, I propose an interpretation and a solution that is more rigorously defined than the SQL NULL or other similar solutions, and which can be implemented in a systematic and application-independent manner in database management systems.
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Ted Hills
Published By: Ted Hills     Published Date: Mar 08, 2017
Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. In this paper I examine the meaning of tuples and relations containing “null values”. For the type of “null value” representing that data are not applicable, I propose an interpretation and a solution that is more rigorously defined than the SQL NULL or other similar solutions, and which can be implemented in a systematic and application-independent manner in database management systems.
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Ted Hills
Published By: Stardog Union     Published Date: Mar 13, 2019
Enterprises must transition to contextualizing their data instead of just collecting it in order to fully leverage their data as a strategic asset. Existing data management solutions such as databases and data lakes encourage data sprawl and duplication. However, true data unification can be achieved with a Knowledge Graph, which seamlessly layers on top of your existing data infrastructure to reveal the interrelationships in your data, no matter its source or format. The Knowledge Graph is also a highly scalable solution since it retains every analysis performed as a reusable asset -- drastically reducing the need for data wrangling over time. Download Knowledge Graphs 101 to learn how this technology differs from a graph database, how it compares to MDM and data lake solutions, and how to leverage artificial intelligence and machine learning within a Knowledge Graphs.
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Stardog Union
Published By: Stardog Union     Published Date: Jul 27, 2018
When enterprises consider the benefits of data analysis, what's often overlooked is the challenge of data variety, and that most successful outcomes are driven by it. Yet businesses are still struggling with how to query distributed, heterogeneous data using a unified data model. Fortunately, Knowledge Graphs provide a schema flexible solution based on modular, extensible data models that evolve over time to create a truly unified solution. How is this possible? Download and discover: • Why businesses should organize information using nodes and edges instead of rows, columns and tables • Why schema free and schema rigid solutions eventually prove to be impractical • The three categories of data diversity including semantic and structural variety
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Stardog Union
Published By: ASG     Published Date: Apr 02, 2014
This Case Study focuses on a highly successful data lineage project between ASG Software Solutions and a major global financial institution. The initial project which began in 2011 with the primary goal of achieving greater control, awareness, and ownership over the institution’s data assets due to new regulatory and federal audit controls. As the project progressed and the positive relationship between ASG and the Bank deepened, all stakeholders involved began to see much broader potential for the entire project than originally envisioned.
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metadata, data, data management, white paper, case study
    
ASG
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: MapR Technologies     Published Date: Aug 01, 2018
How do you get a machine learning system to deliver value from big data? Turns out that 90% of the effort required for success in machine learning is not the algorithm or the model or the learning - it's the logistics. Ted Dunning and Ellen Friedman identify what matters in machine learning logistics, what challenges arise, especially in a production setting, and they introduce an innovative solution: the rendezvous architecture. This new design for model management is based on a streaming approach in a microservices style. Rendezvous addresses the need to preserve and share raw data, to do effective model-to-model comparisons and to have new models on standby, ready for a hot hand-off when a production model needs to be replaced.
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MapR Technologies
Published By: Splice Machine     Published Date: Nov 16, 2014
Organizations are now looking for ways to handle exploding data volumes while reducing costs and maintaining performance. Managing large volumes and achieving high levels of concurrency on traditional scale up databases, such as Oracle, often means purchasing expensive scale-up hardware. In this white paper, learn about the different options and benefits of scale out solutions for Oracle database users.
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splice machine, oracle, oracle database, database, hadoop, nosql, white paper, data, data management, dataversity
    
Splice Machine
Published By: Cloudant - an IBM Company     Published Date: Aug 01, 2015
The database you pick for your next web or mobile application matters now more than ever. Today’s applications are expected to run non-stop and must efficiently manage continuously growing amounts of transactional and multi-structured data in order to do so. This has caused NoSQL to grow from a buzzword to a serious consideration for every database, from small shops to the enterprise. Read this whitepaper to learn why NoSQL databases have become such a popular option, explore the various types available, and assess whether you should consider implementing a NoSQL solution for your next application.
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Cloudant - an IBM Company
Published By: Infogix     Published Date: May 04, 2018
Over the last few years, the term “data governance” has evolved to more prominence, concurrently with big data. While organizations understand the need for governance around big data, the implementation of a successful data governance solution continues to remain elusive as organizations grapple with what exactly data governance is. This whitepaper provides a concise definition of data governance and offers some key considerations for a successful data governance solution.
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Infogix
Published By: Dataiku     Published Date: Feb 01, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Dataiku     Published Date: Feb 19, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Denodo     Published Date: Feb 07, 2019
With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources. Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data. Learn how you can: • Conquer siloed data in the enterprise • Integrate all data sources and types • Cope with regulatory requirements • Deliver big data solutions that work • Take the pain out of cloud adoption • Drive digital transformation
Tags : 
    
Denodo
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Finding the right data protection and recovery solution for complex enterprise infrastructures is a formidable challenge. Traditional backup and recovery solutions cannot keep up with or meet today’s business-critical requirements. Read this white paper to learn smarter approaches to data protection and recovery. See how to radically improve key performance metrics – including business continuity – as well as backup windows, operational recovery and disaster recovery.
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Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Now is the time to take a smarter approach to data protection an recovery. Finding the right data protection and recovery solution for complex enterprise infrastructures is a formidable challenge. Traditional backup and recovery solutions cannot keep up with or meet today’s business-critical requirements. Read this white paper to learn how to radically improve key performance metrics – including business continuity – as well as backup windows, operational recovery and disaster recovery.
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Hitachi Vantara
Published By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software
Published By: Sage EMEA     Published Date: Jan 29, 2019
Ready to work faster, simpler, and more flexibly? Now you can. With today’s technology advancements, there’s no need to settle for less when it comes to your enterprise management solution. And now, with the introduction of Sage Business Cloud, you can future-proof your business with the only management solution you’ll ever need. Sage Business Cloud enables you to come onto the platform at any stage of your business and allows you to grow over time by adding new products as you need them. These include core cloud products across accounting, financials, enterprise management, and HR, as well as a thriving ecosystem that draws from more than 200 ISVs. Request a business review and discover how the right enterprise management solution can help you manage growth, improve efficiency, make smarter decisions, and reduce IT cost and complexity.
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Sage EMEA
Published By: Sage EMEA     Published Date: Jan 29, 2019
SagecommissionedForresterConsultingtoconducta TotalEconomicImpact™(TEI)studytoexaminethe potentialreturnoninvestment(ROI)organizationsmay realizebydeployingits Enterprise Management solutionas part of Sage Business Cloud.Thepurpose ofthisstudyistoprovidereaders withaframework to evaluatethepotentialfinancialimpactof Enterprise Managementwithintheir organizations. Tobetter understandthebenefits,costs,andrisks associatedwithaninvestmentinEnterprise Management,Forrester conducted in-depth interviews withtwoEnterprise Managementcustomers. For a brief description of each customer, see the Analysis section. According toSage,Enterprise Managementis an integratedand globalenterprise business management solution for purchasing, manufacturing, inventory, sales, customer service,and financial management. Formoredetails ontheEnterprise Management solution,seeAppendix A. For this TEI study, Forrester has created a compositeOrganizationto illustrate the quantifiable benefits and costs of investing i
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Sage EMEA
Published By: Alibaba Cloud SEA     Published Date: Mar 11, 2019
Many businesses are adopting a multi-cloud infrastructure. However, managing data and communication between multiple cloud environments is often challenging and complex. Therefore, companies often try to find a technical partner that can help them. Companies with on-premise data centers need some type of interconnect to access their products and services hosted on the cloud. The traditional Virtual Private Network (VPN) connection method usually can’t meet enterprise speed,stability, security, and compliance requirements.This whitepaper describes the challenges that companies face when building dedicated connections between different cloud environments and how Alibaba Cloud’s Express Connect is the perfect solution for them
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data center, cloud computing, networking, security, china, global expansion
    
Alibaba Cloud SEA
Published By: Red Hat     Published Date: Feb 25, 2019
Red Hat is a trusted partner to enterprise customers; cloud, software, and hardware suppliers; and the global open source community. A Red Hat® Enterprise Linux® subscription provides customers with direct access to innovation and advocacy—within the open source community and within a certified and trusted network of partners. Red Hat Enterprise Linux provides you with an innovative platform that serves as the foundation for your business. It is hardened, certified, and supported by the Red Hat Product Security team, support teams, and certified engineers. Red Hat supports your timelines and advocates for your requirements so you can focus on the work of your business rather than being your own operating system vendor. We use our leadership in the open source community to do the work that brings you the best of open source. Get direct access to: Technology-driven solutions Emerging technology Experience and support Continuous security Timeline support Download the whitepaper to lea
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Red Hat
Published By: Dell EMEA     Published Date: Mar 05, 2019
Dell Technologies recently teamed-up with Institute for the Future (IFTF) and 20 experts from around the world to project into the future, forecast how emerging technologies - such as Artificial Intelligence (AI) and Internet of Things (IoT) - will reshape how we live and work by 2030, and gather insights that will help businesses navigate the coming decade. The experts concluded we’re on the cusp of the next era of human-machine partnerships. Learn more about Dell solutions powered by Intel®.
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Dell EMEA
Published By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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Avi Networks
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Jan 23, 2019
For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
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