Library Personalized information service : Interface with web 2.0 and Open source tool

The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.

Ijdbms

UKSG: connecting the knowledge community

UKSG webinar: A new perspective on library resource management systems with K...

The document discusses the shift in the library technology market from library management systems (LMS) to library services platforms (LSP). It outlines some key differences between LMS and LSP, including unified management of print and electronic resources, improved workflows, interoperability, decoupled discovery, cloud-based systems, and analytics. The document also examines vendor offerings, what libraries want in new systems, trends in the market like consolidation, reasons to adopt an LSP like efficiencies and better understanding of resource usage, and how LSPs can help meet strategic needs.

International Journal of Database Management Systems (IJDBMS)

International Journal of Database Management Systems (IJDBMS)

Recording: http://pan.news/ZSKo30liS3u Abstract: panagenda ConnectionsExpert Version 2.0 takes analytics and monitoring of your IBM Connections deployment to a new level. Senior Technical Consultant, Terri Warren introduces the version's new features and improvements. Highlighting: - Analytics API: access for Excel and business analytics tools - Community Widgets: analytics for community owners inside Connections - Notifications and Alerts for administrators and community managers

International Journal of Database Management Systems (IJDMS)

ijdms

The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed and establishing new collaborations in these areas.

Ijdbms

World cat

clarapatnaan

WorldCat Resource Sharing is a global network that connects library collections and services via the web. It allows institutions to share resources more easily. The network minimizes the time and money spent fulfilling requests while maximizing customer satisfaction by delivering items quickly. As internet users don't care where information is located but do care how fast they can access it, quick delivery through the network represents satisfied customers that may otherwise go elsewhere. The network contains over a billion holdings and can fulfill 95% of requests, making libraries seem like one-stop providers for their customers' needs.

Ijdbms

The International Journal of Database Management Systems (IJDBMS) is a bi-monthly peer-reviewed journal that publishes articles on database management systems and their applications. The journal aims to bring together researchers and practitioners to share new results and establish collaborations. Topics of interest include data integration, privacy, mining, warehousing, architectures, and more. Authors are invited to submit original papers by June 6th, 2020 using the online submission system, with notification of acceptance by June 25th and final papers due by June 30th.

International Journal of Database Management Systems (IJDBMS)

Ijdbms

International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.

The National Archives cloud storage and digital preservation

This document summarizes a webinar about cloud storage and digital preservation. It discusses the UK's Cloud First policy, emerging cloud preservation services, and opportunities for shared learning. The webinar covered why cloud storage is relevant now for digital preservation, an outline of the guidance provided, different cloud service and storage options, legal issues to consider, and how cloud relates to digital preservation of records over the long term. Case studies of different archive organizations using cloud solutions were also presented. The webinar concluded there is potential for cost savings but the main benefit may be enabling new activities, though challenges around the cloud's flexibility and long-term digital preservation requirements must be addressed.

David Reeve - UKAD 2016 forum

International Journal of Database Management Systems (IJDBMS)

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

International Journal of Database Management Systems (IJDBMS)

White Manipulating Metadata to Enhance Access

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

International Journal of Database Management Systems (IJDBMS)

Community application design for streaming analytics

Sandeep Kumar

A startup company wants to build a private community app which will allow People to create a specific community and invite other users to join that community. Each community in itself is a social network like Facebook specifically for the people in that community. Users can mainly have two workflows where, A community user can 1. do various types of posts (including text, images, videos) in community that will show up in feed of other users, interact with the posts of other users (like, comment, share etc.). 2. User can do conversation with other users via Direct messaging or there can be various user discussion groups within that community where multiple users can do conversations. In an active community of million users the load on systems will increase a lot and traditional RDBMS techniques will not be able to handle the loads. You have been appointed to design a scalable solution for the same using Big Data Technologies with the help of the system can efficiently scale to millions/billions of users and fulfill their requests in an efficient way. Additionally, getting insights/analytics from such an app is also another use case for the organization. You can make the appropriate assumptions for the events data, the analysis that needs to be done on it. Make sure all those details are also made available while submitting the data solution. Submission Requirements Part 1 Note: Make necessary assumptions regarding the users creating different data points like posts, messages, likes, comments, shares etc. 1. Propose a suitable

Applying Big Data Superpowers to Healthcare

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Pawlowski and Beadles: Authentication and Access of Licensed Content in Ohio

This document summarizes authentication and access of licensed content in Ohio libraries. It discusses OhioLINK's mission to provide academic resources to students and faculty. It outlines OhioLINK's membership, which includes 121 member libraries at 90 institutions. It also describes OARnet's role in providing technology solutions and infrastructure like fiber optic networks to higher education institutions in Ohio. The document reviews a survey of OhioLINK member libraries on their current authentication methods and technical support structures. It identifies challenges for members in considering new authentication procedures, such as costs, technical relationships on campus, and requiring technical expertise.

Semantic Technologies for Enterprise Cloud Management

Peter Haase

This document discusses managing enterprise clouds through semantic technologies. It presents a vision of fully automated data center management from a single intuitive console. Key challenges include integrating heterogeneous IT resource data and enabling collaborative documentation. The proposed solution applies a semantic data model, wiki for documentation, and a flexible living user interface. Widgets, search, and visual analytics tools provide tailored access and insights. Experience shows semantic technologies scale well and the approach is highly reusable across domains.

Presentation3.pptx

VIPERVALORANT

This document describes a real-time chat application project created by students Tirth Shah and Om Pawar. It discusses what real-time web applications are, provides an overview of the project's scope and technology stack, describes use cases and architectural components, addresses challenges, and outlines the data flow and activity diagrams. Data dictionaries are also included to define the application's user signup and chat data.

Evaluation of Web Scale Discovery Services

Nikesh Narayanan

Web scale Discovery services are becoming the most sought after solution for Libraries to connect its patrons with the relevant information they seek. Many studies show that these services are getting wide acceptance from users as well as Library staff and making revolution in Library Information retrieval arena. Given such broad implications, selecting a new discovery service for libraries is an important undertaking. Library professionals should carefully evaluate options to meet their goal of finding the best potential match for their library. This Paper attempts to provide a comprehensive overview of Library Web Scale Discovery solutions by depicting various facets of Web Scale Discovery, how it differs from federated searching and highlights the important parameters to be considered for taking an informed and confident decision on selecting discovery service.

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ConnectionsExpert 2.0: Empowering Analytics & Monitoring

panagenda

International Journal of Database Management Systems (IJDMS)

ijdms

The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this filed and establishing new collaborations in these areas.

Ijdbms

World cat

clarapatnaan

Ijdbms

International Journal of Database Management Systems (IJDBMS)

Ijdbms

The National Archives cloud storage and digital preservation

David Reeve - UKAD 2016 forum

International Journal of Database Management Systems (IJDBMS)

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

International Journal of Database Management Systems (IJDBMS)

White Manipulating Metadata to Enhance Access

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

Ijdbms

International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.

International Journal of Database Management Systems (IJDBMS)

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ConnectionsExpert 2.0: Empowering Analytics & Monitoring

International Journal of Database Management Systems (IJDMS)

Ijdbms

World cat

Ijdbms

International Journal of Database Management Systems (IJDBMS)

Ijdbms

The National Archives cloud storage and digital preservation

David Reeve - UKAD 2016 forum

International Journal of Database Management Systems (IJDBMS)

White Manipulating Metadata to Enhance Access

Ijdbms

International Journal of Database Management Systems (IJDBMS)

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Cloud Computing Introduction and Awareness

wlammert

This document provides an overview of key cloud computing concepts including: - Cloud delivery models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). - Considerations for migrating workloads and applications to the cloud such as rearchitecting, rehosting, or replacing applications. - Other aspects of adopting cloud computing like security, governance, organization, and the journey to transforming IT operations to a cloud model.

NDS Relevant Update from the NIH Data Science (ADDS) Office

Philip Bourne

This document summarizes a presentation given by Dr. Phil Bourne on the National Data Science (NDS) initiative and the National Institutes of Health (NIH) All of Us Data and Science (ADDS) office. The presentation discusses how NDS can succeed by defining clear problems, starting with pilots, and developing sustainable applications. It then outlines ADDS's mission to accelerate biomedical research through an open data ecosystem. ADDS's strategy focuses on discovery, workforce development, policy, leadership, and sustainability through developing a shared "Commons" of digital research objects in the cloud. Pilot projects are evaluating this Commons framework and populating it with datasets and tools.

Amazon Web Services - Value Chain Analysis

Pavan Gujar

The document provides information on value chain analysis for an IT product and service company called Aurora. It discusses Aurora's primary activities which include inbound logistics involving outsourced components, application development software licenses and databases. Other primary activities are operations involving planning, designing, resource allocation, testing and documentation. It also discusses outbound logistics involving deployment, installation and updating. Sales and marketing activities include PAAS, market research and customer management. Services involve customer interactions, onsite support, maintenance, software updates and infrastructure support.

Working with IT: Become a Partner, not a Client

Nina McHale

The Rise of Self -service Business Intelligence

skewdlogix

It is not easy to succeed with self-service analytics. Besides a governed self-service architecture, it requires well-designed governance processes, a standard analytics and data platform, a federated organizational structure with co-located Bl developers, and continuous training and support. This report examines the evolution of self-service BI and the necessary foundation for its success and then presents a reference architecture to support self-service analytics.

Digital Reference Service in Library

Pallavi Belkar

The document discusses digital reference services provided by libraries. It defines digital reference as reference services provided electronically over the internet through means like email, web forms, and chat. The rise of digital reference is due to more people accessing library resources online and needing information anytime, anywhere. Digital reference aims to identify user needs, develop search strategies, and satisfy users with authoritative information. It allows remote access and expanded service hours. Common forms of digital reference include email, web forms, chat applications, instant messaging, and video. Libraries must train staff, design interfaces, test services, and address legal and quality issues to effectively provide digital reference.

Electronic Resource Management in the library

Dr. Nihar K. Patra

The arrival and enormous growth rate of digital contents have fundamentally changed the way in which content is made available to library users. In the recent years, libraries are acquiring more and more electronic resources (e-resources) because of perceived benefits, such as easy access to information and its comprehensiveness. Due to the influx of e-resources in libraries, the collection, acquisition, and maintenance of these resources have become complicated issues to deal with. This has forced libraries to devise strategies to manage and deliver e-resources conveniently. Therefore, “Management of E-resources” or “Electronic Resource Management” (ERM) has become a challenge for library professionals that needs to be addressed through research and practice. To meet these challenges, library professionals and content providers have decided to develop ‘Electronic Resource Management System’ (ERMS) for management of e-resources in a more systematic way.

Use of "NewGenLib" Open Source Software for Library Automation, Digital Libra...

Emmanuel E C

Spark meetup stream processing use cases

punesparkmeetup

Stream processing is key for enabling real-time insights from big data. It allows continuous processing of data as it flows through a system, enabling instantaneous actions via alerts. This is unlike traditional batch processing where data is analyzed only after it has been stored. Stream processing is becoming more important as organizations need faster decision making and new data sources like sensors produce high volumes of data quickly. It has broad applications across industries like financial services, telecom, online advertising, and IoT. Example use cases include fraud detection, dynamic bidding, infrastructure management, and predictive maintenance. Open source technologies now make stream processing more feasible at large scale for real-time analytics.

Cloud web scale discovery services landscape an overview

Nikesh Narayanan

Abstract The impact of Internet and Google like search engines radically influenced the information behavior of Net Generation users. They expect same environment in library services such that all their required information make available in a single set of results through unified search across all the available resources. Libraries have been striving to respond to this challenge for years. Until recently, federated search technology of the past decade was the better attempt in this area to meet these user expectations. But federated search solution is marked by the drawbacks of its slowness as it searches each database on the fly. New Generation cloud based Library Web scale discovery technology is a promising entrant in this landscape. This Paper attempts to provide a comprehensive overview of Library Web Scale Discovery solutions by depicting various facets of Web Scale Discovery solutions such as its importance to Library field, their possible role as the starting point for research, content coverage, and finally analyses the competition at the discovery front by comparing the services of major players. The comparative analysis shows that all the major service providers are extending competitive features and services, but varies in some areas and the adoption choice depends on the concerned library’s preferences and the cost involved.

Maximizing AI Performance with Vector Databases: A Comprehensive Guide

Bhusan Chettri

In the dynamic realm of artificial intelligence (AI), the role of vector databases is paramount. These specialized databases offer a robust foundation for storing and manipulating high-dimensional data structures, playing a crucial role in various AI applications. In this comprehensive guide, we will explore the ins and outs of vector databases, their significance in AI, and how they propel innovation in data management and analysis.

NextGenDataCenter

Jon Holtby

The document discusses IBM's vision for the next-generation data center. It will be a software-defined environment that can dynamically anticipate and respond to changing workload demands in real time. Patterns of expertise will orchestrate all necessary infrastructure resources. Resources will be abstracted from underlying hardware to adapt optimally to each workload continuously. This will allow for continuous availability, cohesive management from a single console, and integrated security extending the software-controlled environment. The evolutionary path involves optimization, standardization, simplification, automation, and dynamic optimization.

LLAGNY: Legal Research Boot Camp

Ralph Monaco

The document discusses various issues related to law library management. It addresses challenges facing different types of law libraries, including pressures on firm libraries to change their service models due to factors like consolidation and increased client demand for cost-effective services. It also discusses budgeting, collection development, measuring collection usage, and providing services beyond traditional reference through activities like competitive intelligence and knowledge management. Law librarians are encouraged to leverage their skills to provide leadership in research and other services.

Hadoop in the Cloud: Common Architectural Patterns

DataWorks Summit

The document discusses how companies are using Microsoft Azure services like HDInsight, Data Factory, Machine Learning, and others to gain insights from large volumes of data. Specifically, it provides examples of: 1) A large computer manufacturer/retailer analyzing clickstream data with HDInsight to understand customer behavior and provide real-time recommendations to increase online conversions. 2) An industrial automation company partnering with an oil company to use IoT sensors and analytics to monitor LNG fueling stations for proactive maintenance based on sensor data analyzed with HDInsight, Data Factory, and Machine Learning. 3) How data from various industries like retail, oil and gas, manufacturing, and others can be analyzed

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