graph database

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Published By: graphgrid     Published Date: Oct 19, 2018
Graph databases are about to catapult across the famous technology adoption chasm and land in start-ups, enterprises and government agencies across the globe. The adoption antibodies are subsiding as the power of natively connected data becomes fundamental to any organization looking for data-driven insights across operations, suppliers, and customers. Mooreís Law increases in storage capacity and processing power can no longer keep up with the pace of data expansion, yet how companies structure and analyze their data ultimately will impact their ability to compete. Unstructured, disconnected data is useless. Graph databases will rapidly jump from niche use cases to a transformative IT technology as they enable turning the data you collect into actionable insights. Data will become the single most differentiating asset for your organization.
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graphgrid
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: Profium     Published Date: Mar 28, 2017
Profium Sense is an AI powered graph database which has unique features such as triggered query evaluation and ability to change rules in runtime. With support for open standards, it provides a reliable backbone for your next-generation digital services.
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Profium
Published By: Data Ninja     Published Date: Apr 16, 2017
By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. Text is a part of all communication channels from social media, documents, logs, and data bases. In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.
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Data Ninja
Published By: graphgrid     Published Date: Oct 02, 2018
Whether itís for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars arenít functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: graphgrid     Published Date: Oct 02, 2018
Whether itís for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars arenít functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
A hardware and software system specifically designed for the database software to optimize database operations, both for performance and administrative simplicity. An environment that supports workload consolidation, thereby reducing the number of physical servers required for the databases in question. Benefits: Reduced cost and optimal performance.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Exadata Your Way, in the cloud, on premises, or both. Be introduced to Oracle Database Exadata Cloud Machine in this infographic.
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Oracle PaaS/IaaS/Hardware
Published By: Oracle     Published Date: Jan 20, 2017
View this infographic to see how Oracle Exadata helps organizations achieve significant results both financially and operationally, while helping deliver greater business value. Find out about tangible financial benefits of Oracle Exadata, including 94% less unplanned downtime and a 429% five-year ROI. Learn more by downloading this infographic from Oracle and IDC.
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Oracle
Published By: Oracle ODA     Published Date: Aug 15, 2016
Learn more about the challenges faced by todayís IT leaders and database managers, and see how Oracle Database Appliance can help overcome them.
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Oracle ODA
Published By: IBM     Published Date: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
    
IBM
Published By: Datastax     Published Date: Aug 23, 2017
Part of the ďnew normalĒ where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a ďmulti-modelĒ database. Chances are you are getting bogged down by various data models that require support ó key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: May 14, 2018
"Whatís In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: Datastax     Published Date: May 14, 2018
" For any business that wants to successfully compete in todayís digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 27, 2018
" For any business that wants to successfully compete in todayís digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Citrix Systems     Published Date: Nov 10, 2014
ADCs are advanced load balancers with functions and features that enhance the performance of applications. Today, companies of all sizes with geographical dispersal of people and different data constructs require ADCs to optimize their complex application environments from web applications, to Exchange, SharePoint and databases. It is interesting that before the term ADC was used more recently (in the last decade), companies relied on load balancers for website availability and scalability. In this paper we will describe the fundamentals of a load balancing system and its evolution to an ADC.
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database, sharepoint, application, load balancer, performance, availability, website, scalability, function, optimization, enterprise applications, data management
    
Citrix Systems
Published By: Datastax     Published Date: Apr 04, 2017
Graph databases are changing how we use data. But first, an example Ė you're (probably) a human working on a project and looking at graph databases as a potential solution. While we're a company that has a graph database that hopefully solves your problem. Now we could store that data in a boring relational database, but how do we do more than that? For instance, using that data, when combined with other data points, to find other people like you and recommend our solution to them? This is where a graph can come in handy. The friendly graph data model makes it easy to use patterns of relationships within large data sets. By leveraging those relationships we can analyze, or create better real-time experiences. Why Graph explores why this graph database 'thing' is really a thing, how they compare to other database systems, and the use cases they best support.
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graph, database, datastax
    
Datastax
Published By: Datastax     Published Date: Apr 04, 2017
For any business that wants to successfully compete in todayís digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution.
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database, cloud, applications, endpoint, datastax
    
Datastax
Published By: Datastax     Published Date: Aug 03, 2018
" For any business that wants to successfully compete in todayís digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: Aug 07, 2018
Learn the uses cases for graph databases and how graph databases work.
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Datastax
Published By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‚Äźmakers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‚Äźprocess changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
    
SRC,LLC
Published By: Oracle     Published Date: Dec 21, 2016
This infographic breaks down various challenges that are faced by today's IT leaders.
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Oracle
Published By: Rackspace     Published Date: Mar 08, 2016
Watch as industry experts discuss strategies for overcoming design, deployment, and monitoring challenges in a Microsoft Cloud Platform environment. They examine real-life situations in which Rackspace architected and deployed Microsoft Private Cloud at scale, across multiple geographies. Youíll get first-hand what Red Hat has learned along the way, such as how to approach the integration of Database-as-a-Service (DBaaS) functionality, designing resilient architectures and failover, as well as building for scale.
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microsoft private cloud, microsoft server, hyper-v, windows azure, microsoft cloud platform, rackspace, red hat, it management
    
Rackspace
Published By: SAS     Published Date: Mar 06, 2018
Better health care at lower costs, for everyone Ė how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs. To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isnít useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
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SAS
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere Ė with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
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