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Published By: DATAVERSITY     Published Date: Jul 24, 2014
Will the “programmable era” of computers be replaced by Cognitive Computing systems which can learn from interactions and reason through dynamic experience just like humans? With rapidly increasing volumes of Big Data, there is a compelling need for smarter machines to organize data faster, make better sense of it, discover insights, then learn, adapt, and improve over time without direct programming. This paper is sponsored by: Cognitive Scale.
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data, data management, cognitive computing, machine learning, artificial intelligence, research paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Jul 06, 2015
The growth of NoSQL data storage solutions have revolutionized the way enterprises are dealing with their data. The older, relational platforms are still being utilized by most organizations, while the implementation of varying NoSQL platforms including Key-Value, Wide Column, Document, Graph, and Hybrid data stores are increasing at faster rates than ever seen before. Such implementations are causing enterprises to revise their Data Management procedures across-the-board from governance to analytics, metadata management to software development, data modeling to regulation and compliance. The time-honored techniques for data modeling are being rewritten, reworked, and modified in a multitude of different ways, often wholly dependent on the NoSQL platform under development. The research report analyzes a 2015 DATAVERSITY® survey titled “Modeling NoSQL.” The survey examined a number of crucial issues within the NoSQL world today, with focus on data modeling in particular.
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DATAVERSITY
Published By: MarkLogic     Published Date: Aug 04, 2014
The Age of Information and the associated growth of the World Wide Web has brought with it a new problem: how to actually make sense of all the information available. The overarching goal of the Semantic Web is to change that. Semantic Web technologies accomplish this goal by providing a universal framework to describe and link data so that it can be better understood and searched holistically, allowing both people and computers to see and discover relationships in the data. Today, organizations are leveraging the power of the Semantic Web to aggregate and link disparate data, improve search navigation, provide holistic search and discovery, dynamically publish content, and complete ETL processes faster. Read this white paper to gain insight into why Semantics is important, understand how Semantics works, and see examples of Semantics in practice.
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data, data management, whitepaper, marklogic, semantic, semantic technology, nosql, database, semantic web, big data
    
MarkLogic
Published By: MarkLogic     Published Date: Jun 17, 2015
Modern enterprises face increasing pressure to deliver business value through technological innovation that leverages all available data. At the same time, those enterprises need to reduce expenses to stay competitive, deliver results faster to respond to market demands, use real-time analytics so users can make informed decisions, and develop new applications with enhanced developer productivity. All of these factors put big data at the top of the agenda. Unfortunately, the promise of big data has often failed to deliver. With the growing volumes of unstructured and multi-structured data flooding into our data centers, the relational databases that enterprises have relied on for the last 40-years are now too limiting and inflexible. New-generation NoSQL (“Not Only SQL”) databases have gained popularity because they are ideally suited to deal with the volume, velocity, and variety of data that businesses and governments handle today.
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data, data management, databse, marklogic, column store, wide column store, nosql
    
MarkLogic
Published By: Cloudant - an IBM Company     Published Date: Mar 19, 2015
In a world where the pace of software development is faster and data and piling up, how you architect your data layer to ensure a global user base enjoys continual access to data is more important than ever. Download our new whitepaper now to explore - Why the new category of NoSQL databases has become a popular option - The various types of NoSQL databases available today - Differences and commonalities of NoSQL databases - Why you should consider implementing a NoSQL solution
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cloudant, dashdb, ibm, nosql, nosql database, database
    
Cloudant - an IBM Company
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: Neo Technology     Published Date: Jun 28, 2015
The future of Master Data Management is deriving value from data relationships which reveal more data stories that become more and more important to competitive advantage as we enter into the future of data and business analytics. MDM will be about supplying consistent, meaningful views of master data and being able to unify data into one location, especially to optimize for query performance and data fit. Graph databases offer exactly that type of data/performance fit. Use data relationships to unlock real business value in MDM: - Graphs can easily model both hierarchical and non-hierarchical master data - The logical model IS the physical model making it easier for business users to visualize data relationships - Deliver insights in real-time from data relationships in your master data - Stay ahead of the business with faster development Download and read the white paper Your Master Data Is a Graph: Are You Ready? to learn why your master data is a graph and how graph databases like Neo4j are the best technologies for MDM.
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database, nosql, graph database, big data, master data management, mdm
    
Neo Technology
Published By: VoltDB     Published Date: Jul 09, 2015
What is fast data? It's data in motion, and it creates Big Data. But handling it requires a radically different approach. Download the Fast Data Stack white paper from VoltDB. Learn how to build fast data applications with an in-memory solution that’s powerful enough for real-time stateful operations.
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data, data management, data stack, bug data, voltdb, database, nosql
    
VoltDB
Published By: VoltDB     Published Date: Feb 12, 2016
The need for fast data applications is growing rapidly, driven by the IoT, the surge in machine-to-machine (M2M) data, global mobile device proliferation, and the monetization of SaaS platforms. So how do you combine real-time, streaming analytics with real-time decisions in an architecture that’s reliable, scalable, and simple? In this report, Ryan Betts and John Hugg from VoltDB examine ways to develop apps for fast data, using pre-defined patterns. These patterns are general enough to suit both the do-it-yourself, hybrid batch/streaming approach, as well as the simpler, proven in-memory approach available with certain fast database offerings.
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VoltDB
Published By: Trillium Software     Published Date: Mar 29, 2016
We are living in a new age in which your business success depends on access to trusted data across more systems and more users faster than ever before. However, your business information is often incomplete, filled with errors, and beyond the reach of people who need it. Whether you’re responsible for technology or information strategy, you need to enable your business to have real-time access to reliable information. Otherwise, your company will be left behind. Download Trillium’s whitepaper, “How to Succeed in the New Age of Data Quality”, to learn how you can create a successful data quality strategy.
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Trillium Software
Published By: Reltio     Published Date: Feb 12, 2016
Reltio delivers reliable data, relevant insights and recommended actions so companies can be right faster. Reltio Cloud combines data-driven applications with modern data management for better planning, customer engagement and risk management. IT streamlines data management for a complete view across all sources and formats at scale, while sales, marketing and compliance teams use data-driven applications to predict, collaborate and respond to opportunities in real-time. Companies of all sizes, including leading Fortune 500 companies in healthcare and life sciences, distribution and retail rely on Reltio.
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Reltio
Published By: Reltio     Published Date: Nov 16, 2018
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
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Reltio
Published By: Attivio     Published Date: Mar 14, 2018
Did you ever consider all of the examples of machine learning in your personal life? Google’s page ranking system, photo tagging on Facebook, and customized product recommendations from Amazon are all driven by machine learning under the hood. How do these same techniques improve productivity for your business? Search is the new data and content curation. Improved relevance translates to faster search results and better business outcomes across the line. Download the Five-Minute Guide to Machine Learning to find out how self-learning technologies drive increasingly relevant answers and better context for cognitive search.
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Attivio
Published By: TopQuadrant     Published Date: Jul 18, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited.   Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data.     Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: TopQuadrant     Published Date: Aug 01, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited. Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data. Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: VoltDB     Published Date: Nov 09, 2015
The consumerization of IT requires an evolution in the way applications are designed and developed. This white paper looks at the requirements of the Fast Data workflow and proposes solution patterns for the most common problems software development organizations must resolve to build applications – and apps – capable of managing fast and big data.
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VoltDB
Published By: Splice Machine     Published Date: May 19, 2014
SQL-on-Hadoop solutions have become very popular recently as companies solve the data access issues with Hadoop or seek a scale-out alternative for traditional relational database management systems. However, with all of the options available, choosing which solution is right for your business can be a daunting task. This white paper discusses the options you should consider and questions to ask, including: Is it really “Real-Time”? Is it true SQL? Does it support secondary indexes? Can it efficiently handle sparse data? Can it deliver fast performance on massive joins? Read this white paper to get a better understanding of the SQL-on-Hadoop landscape and what questions you should ask to identify best solution for your business.
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white paper, splice machine, sql, hadoop, nosql, nosql white paper, hadoop white paper, dataversity
    
Splice Machine
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
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: Rackspace     Published Date: Feb 01, 2019
Rackspace Quick Start for Google Cloud Platform helps enterprises expedite their migration to Google Cloud using proven design, automation, and migration methodologies—all executed by Rackspace experts who have deployed more than a million applications into the cloud. By partnering with your company’s cross-functional leaders, our professional adoption team will fast-track your journey to the cloud—typically moving your first application(s) to the cloud within the first few weeks of the program. This annual review includes an assistance with a disaster recovery (DR) simulation, audit of patch levels, and upl eveling the deployment tools to ensure they align with the infrastructure that may have evolved since deployment.
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Rackspace
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
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Feb 01, 2019
Business expectations and demands on the data center are increasing and the impact on today’s data centers is staggering. Organisations that can move quickly to leverage these new opportunities will find themselves in an advantageous position relative to their competitors. But time is NOT on your side! If your IT team often feel that they’re always in catch-up mode because it is difficult to quantify IT contributions, it is time to understand the benefit of hyperconverged infrastructure. What if your IT teams can take workloads off the traditional IT infrastructure and migrate it to a purpose-built solution that integrates compute, memory, storage, and virtualization? This is what Hyperconverged Infrastructure is all about. HCI appliances deliver extreme reliability, dependable security, extensive and predictable scalability, simplified management, and faster time-to-value. Download this premium guide to understand how HCI can • Provide the resilience, scalability and performance to
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: HERE Technologies     Published Date: Feb 12, 2019
Many on-demand companies are starting to rely on fast, accurate and robust mapping and location technologies in order to stay competitive and to provide superior end-user experience. Leveraging location data can assist you in accurately locating each delivery address, matching demand with available supply and exceeding your customer’s expectations. Discover a variety of ways in which on-demand transportation can be optimized by maps and location services such as those created by HERE. As one of the world’s leading location platforms in 2018, HERE shares insights and solutions to improve transportation efficiency and safety.
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location data, transport & logistics, location services
    
HERE Technologies
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