Database-centric architecture

Enterprises around the world would be wise to heed 50 Cent’s mantra ”Get Rich or Die Tryin’” when considering the implications of not “getting” to the public cloud. We at Cocolevio, an implementation partner of Mooor Insights & Strategy, estimate that over 50% of IT spend will be going to public cloud vendors such as Amazon Web Services or SaaS vendors like Salesforce.com Inc. by 2019. This means there is around a $140B opportunity in this space. The cost savings, reduction in capital spending,

Assessing the Functional and Technical Architecture of Enterprise Resource Planning (ERP) Systems In Higher Education Introduction The foundational role of an Enterprise Resource Planning (ERP) system within an institution of higher education is to serve as a system of record for all interactions while also synchronizing the many systems, processes and platforms to a series of strategic objectives. At the most fundamental, foundational level, an ERP system is a system of record, tracking all

A Report on ‘PeopleProfile Web Service – Database objects implementation’ At American Express India Pvt. Ltd. Submitted by Priya Venkatraman PRN: 14030241027 MBA (IT Business Management) (2014-2016) Symbiosis Centre for Information Technology (A constituent member of Symbiosis International University (SIU), est., under Section 3 of UGC Act, 1956 by Notification No. F.9-12/2001-U-3 of Govt. of India) Year of submission 2015 Symbiosis Centre for Information Technology A constituent

Nowadays, there is no stable model transformation approach for mobile application. Model transformation is one of the prominent features and the rising research area of Model Driven Engineering (MDE). There is still gap between software designer and developer because of the heavyweight of graphical modeling language like Unified Modeling Language (UML). The textual modeling language attempts to fill the gap between modeling and implementing in the development lifecycle. The proposed research work

Executive Summary Problem: How to process and harness large amount of data and use that information effectively. Solution: The solution involves multiple components: Continually develop solutions to organize and compress information so that large swaths of data take up less and less space. Use technology to increase time and speed. Develop and foster a balanced system environment that effectively uses power, storage, and networks to efficiently return desired query results. Take advantage of

1.1 Graph Databases A graph database represents data and relationships between this data using concepts from graph data structures like nodes, edges and properties. Nodes represents the data entities, properties represent information about the nodes and edges which connect two nodes or a node and a property represent the relationship between the connected elements. [1] Figure 3.1 Property Graph Model [2] 3.1.2 Triple stores Triple store is a specific implementation of a graph database that is optimized

and develop a framework for connected vehicles. This scalable, mobility-centric solution, through network abstractions and clustering schemes with high resilience against failure, can provide seamless connectivity, global reachability, and enhanced connection for vehicular nodes with high dynamicity and possibly no direct association to an access point. This is followed up by the introduction of the MobilityFirst architecture which supports seamless mobility of nodes in network layer. The named

Abstract: Advancement in the internet and information Technology provides several opportunities and different channels for businesses to market to products services. Deploying an effective targeted e-marketing campaigns an important strategic decision for businesses to stay competitive and to increase profitability. The three e-business marketing strategies are: e-commerce website, e-marketing and web services using underlying web technologies including Extensible Markup Language, Simple object

Final Project: Enterprise Data Management Architecture and Implementation Plan Matthew Brantner Southern New Hampshire University Final Project: Enterprise Data Management Architecture and Implementation Plan Up until this point, Third Star Financial Services has operated via a succession of mergers and acquisitions where systems were inherited but never integrated into the network. Its data management has been virtually non-existent and entirely ineffective. Evidence of this can

resulted in the creation of NoSQL databases. These databases (built on work done at Google and at Amazon) were optimized to store and retrieve data modeled using non-traditional non-tabular entities. And of course, Big Data cannot exist in a vacuum – it requires tools to process, analyze, and display the vast amounts of information in a manner comprehensible to mere humans. This has led to the rise of Big Data BI. While BI has been a staple of IT infrastructure and database environments for decades, the