Libr243 Future Trends Ms
•
1 like•571 views
1. Library systems are becoming more modular and "unbundled" with separate components like the OPAC, serials management, and acquisitions that can be obtained from different vendors. 2. Library systems are entering the computing mainstream where components use common standards and can be integrated with other campus and organization systems. 3. Libraries need to provide services to patrons through the online locations and devices they are accustomed to using like social media and mobile apps to remain relevant.
Report
Share
Report
Share
![Future Trends in Library Systems ,[object Object]](https://image.slidesharecdn.com/libr243-future-trends-ms-1196048973126185-4/85/Libr243-Future-Trends-Ms-1-320.jpg)
![Future Trends in Library Systems ,[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
LibraryLibrary Automation and Use of Open Source Software automation and use ...
OKIKI, O. Chris (Ph.D)
Head, Automation Unit
University of Lagos Library
University of Lagos
Akoka, Lagos
chrisokiki2009@yahoo.com
Library automation and use of open source software odade
This document discusses library automation and provides an overview of key topics including:
- The definition of library automation as the implementation of ICTs in libraries to convert manual systems to digital formats.
- The basic features and functions of a library management system including modules for acquisition, cataloging, circulation, serials control and an OPAC.
- Standards that facilitate data sharing between libraries like MARC and Z39.50.
- Steps for planning and implementing an effective library automation strategy including developing a technology plan, selecting an ILS, implementation, and post-analysis.
Distributed Systems in Data Engineering
A distributed system in its most simplest definition is a group of computers working together as to
appear as a single computer to the end-user. These machines have a shared state, operate
concurrently and can fail independently without affecting the whole system’s uptime.
This is in line with ever-growing technological expansion of the world, distributed systems are
becoming more and more widespread. Take a look at the increasing number of available
computer technologies/innovation around, this is sporadically increasing, and this result in
intense computational requirement.
Yeah, Moore’s law proposed more computing power by fitting more transistors (which
approximately doubles every two years) into a simple chip using cost-efficient approach - cool,
but over the past 5 years, there has been little deviation from this - ability to scale horizontally
and not just vertically alone.
OpenURL Linking: the Academic Library Experience
The document discusses resource integration through open URL linking. It provides summaries from several speakers at the Charleston Conference on this topic. John McDonald from Caltech discusses SFX implementation at Caltech. Deborah Loeding from H.W. Wilson discusses the WilsonLink solution. Jenny Walker from Ex Libris discusses link servers and knowledgebases. Harry Samuels from Endeavor discusses what to look for in link resolvers.
Analysis-of-Major-Trends-in-big-data-analytics-slim-baltagi-hadoop-summit
This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics.
These are a few takeaways from this talk:
- Adopt Apache Beam for easier development and portability between Big Data Execution Engines.
- Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency.
- Accelerate your Big Data applications with In-Memory open source tools.
- Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices…
- Have Machine Learning part of your strategy or passively watch your industry completely transformed!
- How to advance your strategy for hybrid integration between cloud and on-premise deployments?
Recommended
LibraryLibrary Automation and Use of Open Source Software automation and use ...
OKIKI, O. Chris (Ph.D)
Head, Automation Unit
University of Lagos Library
University of Lagos
Akoka, Lagos
chrisokiki2009@yahoo.com
Library automation and use of open source software odade
This document discusses library automation and provides an overview of key topics including:
- The definition of library automation as the implementation of ICTs in libraries to convert manual systems to digital formats.
- The basic features and functions of a library management system including modules for acquisition, cataloging, circulation, serials control and an OPAC.
- Standards that facilitate data sharing between libraries like MARC and Z39.50.
- Steps for planning and implementing an effective library automation strategy including developing a technology plan, selecting an ILS, implementation, and post-analysis.
Distributed Systems in Data Engineering
A distributed system in its most simplest definition is a group of computers working together as to
appear as a single computer to the end-user. These machines have a shared state, operate
concurrently and can fail independently without affecting the whole system’s uptime.
This is in line with ever-growing technological expansion of the world, distributed systems are
becoming more and more widespread. Take a look at the increasing number of available
computer technologies/innovation around, this is sporadically increasing, and this result in
intense computational requirement.
Yeah, Moore’s law proposed more computing power by fitting more transistors (which
approximately doubles every two years) into a simple chip using cost-efficient approach - cool,
but over the past 5 years, there has been little deviation from this - ability to scale horizontally
and not just vertically alone.
OpenURL Linking: the Academic Library Experience
The document discusses resource integration through open URL linking. It provides summaries from several speakers at the Charleston Conference on this topic. John McDonald from Caltech discusses SFX implementation at Caltech. Deborah Loeding from H.W. Wilson discusses the WilsonLink solution. Jenny Walker from Ex Libris discusses link servers and knowledgebases. Harry Samuels from Endeavor discusses what to look for in link resolvers.
Analysis-of-Major-Trends-in-big-data-analytics-slim-baltagi-hadoop-summit
This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics.
These are a few takeaways from this talk:
- Adopt Apache Beam for easier development and portability between Big Data Execution Engines.
- Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency.
- Accelerate your Big Data applications with In-Memory open source tools.
- Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices…
- Have Machine Learning part of your strategy or passively watch your industry completely transformed!
- How to advance your strategy for hybrid integration between cloud and on-premise deployments?
Apache Flink: Real-World Use Cases for Streaming Analytics
This face to face talk about Apache Flink in Sao Paulo, Brazil is the first event of its kind in Latin America! It explains how Apache Flink 1.0 announced on March 8th, 2016 by the Apache Software Foundation (link), marks a new era of Big Data analytics and in particular Real-Time streaming analytics. The talk maps Flink's capabilities to real-world use cases that span multiples verticals such as: Financial Services, Healthcare, Advertisement, Oil and Gas, Retail and Telecommunications.
In this talk, you learn more about:
1. What is Apache Flink Stack?
2. Batch vs. Streaming Analytics
3. Key Differentiators of Apache Flink for Streaming Analytics
4. Real-World Use Cases with Flink for Streaming Analytics
5. Who is using Flink?
6. Where do you go from here?
Analysis of Major Trends in Big Data Analytics
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics driven by data streams, technology advances, business needs and consumer demands, 3) the growth of in-memory analytics using tools like Alluxio and RocksDB, 4) rapid application development using APIs, notebooks, GUIs and microservices, 5) open sourcing of machine learning systems by tech giants, and 6) hybrid cloud computing models for deploying big data applications both on-premise and in the cloud.
Analysis of Major Trends in Big Data Analytics
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics to enable real-time insights, and 3) leveraging in-memory technologies. He also covered 4) rapid application development tools, 5) open-sourcing of machine learning systems, and 6) hybrid cloud deployments of big data applications across on-premise and cloud environments.
Bibliotheken en cloud computing
Bibliotheken en cloud computingVlaamse Vereniging voor Bibliotheek, Archief & Documentatie vzw (VVBAD)
This document discusses cloud computing and its potential applications for libraries. It begins by defining cloud computing and providing examples. It then discusses the benefits of cloud computing for enterprises and libraries, including cost savings, scalability, and the ability to focus on core services. The document outlines some ideas for applying cloud computing architecture to library management services. This would include building services around infrastructure, data, and community. It envisions a cooperative platform that allows libraries to develop and share applications. The platform could support collaboration and innovation across libraries.Library Automation A - Z Guide: A Hands on Module
It is all about the Library Automation. A complete guide for making a Library Audomated. Request for feed-back. Ashok
Database project
This proposal suggests fully computerizing the Run Run Shaw Library system to address current inefficiencies and inability to handle future workload increases. A client-server system is recommended with one centralized database server and client terminals. The new system would allow for centralized data control and high-speed processing. It is expected to improve services and position the library for future needs through a more efficient, accurate and user-friendly system compared to the current manual process. A detailed implementation plan is provided covering gathering requirements, design, testing, and budget.
Advanced Library Automation System
By the end of the lesson you should be able to:
Appreciate need for library automation
Understand basic features and functions of Library Management System
Define the role of standards in library automation and resource sharing
Making a plan for library automation
Evaluate an integrated library management system
Prepare and implementation strategy
Scope:
Need for library automation
Integrated Library Management Systems
Standards
Preparing a plan for library automation
Selection and Acquisition of library management system
Implementation of integrated library system
Library Automation :
Library automation is the general term for information and communications technologies (ICT) that are used to replace manual systems in the library.
IT Performance Management Handbook for CIOs
Learn why measuring performance on individual devices and systems often leaves admins flying blind when it comes to SLA management and identifying performance bottlenecks. This in-depth e-Guide talks about how VirtualWisdom4 can give administrators a live, up- to-the-second view across the system-wide IT infrastructure.
Bodleian Library's DAMS system
Internal briefing on what the DAMS system is and isn't, and why certain choices were made in its design.
Responsive Innovation in a Local Context
The document discusses responsive innovation in a local context. It covers 5 topics: usage data and analytics, local and remote systems, residents and visitors, customer relationship management, and responsive innovation. The key points are that libraries should leverage usage data to improve services locally, consider local customization versus remote/SaaS systems, recognize that users can be residents or visitors with different needs, and focus on responsive innovation to meet local needs.
"Open Source for Public Libraries Case Study IBLA Soft Library Automation Sof...
The IOSSPL Project developed an open-source library automation software called IBLA Soft using emerging technologies like OSS, J2EE, and portals. IBLA Soft was implemented in pilot libraries in Romania and is offered free to other public libraries. It provides a portal for centralized management of catalogues, loans, and assets across branches. Future plans include expanding use to educational libraries, integrating mobile services, and improving accessibility.
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
Tinder’s Quickfire Pipeline powers all things data at Tinder. It was originally built using AWS Kinesis Firehoses and has since been extended to use both Kafka and other event buses. It is the core of Tinder’s data infrastructure. This rich data flow of both client and backend data has been extended to service a variety of needs at Tinder, including Experimentation, ML, CRM, and Observability, allowing backend developers easier access to shared client side data. We perform this using many systems, including Kafka, Spark, Flink, Kubernetes, and Prometheus. Many of Tinder’s systems were natively designed in an RPC first architecture.
Things we’ll discuss decoupling your system at scale via event-driven architectures include:
– Powering ML, backend, observability, and analytical applications at scale, including an end to end walk through of our processes that allow non-programmers to write and deploy event-driven data flows.
– Show end to end the usage of dynamic event processing that creates other stream processes, via a dynamic control plane topology pattern and broadcasted state pattern
– How to manage the unavailability of cached data that would normally come from repeated API calls for data that’s being backfilled into Kafka, all online! (and why this is not necessarily a “good” idea)
– Integrating common OSS frameworks and libraries like Kafka Streams, Flink, Spark and friends to encourage the best design patterns for developers coming from traditional service oriented architectures, including pitfalls and lessons learned along the way.
– Why and how to avoid overloading microservices with excessive RPC calls from event-driven streaming systems
– Best practices in common data flow patterns, such as shared state via RocksDB + Kafka Streams as well as the complementary tools in the Apache Ecosystem.
– The simplicity and power of streaming SQL with microservices
Operator-Less DataCenters A Near Future Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Operator-less DataCenters -- A Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...MmIT - Multimedia Information Technology Group for CILIP
This document discusses the emergence of new library automation platforms that address the current and future realities of libraries. It notes that legacy library management systems were designed for print collections and have not fully evolved to manage the growing proportions of electronic resources in libraries. New library services platforms aim for a more unified approach to managing all types of library resources and materials. The document provides an overview of these new platforms and how they differ from traditional library management systems, as well as the progress of their development and adoption in libraries. It forecasts that these new platforms will have a long-term impact on the library automation industry.Cloudera Breakfast: Advanced Analytics Part II: Do More With Your Data
This document discusses how Cloudera Enterprise Data Hub (EDH) can be used for advanced analytics. EDH allows users to perform diverse concurrent analytics on large datasets without moving the data. It includes tools for machine learning, graph analytics, search, and statistical analysis. EDH protects data through security features and system change tracking. The document argues that EDH is the only platform that can support all these analytics capabilities in a single, integrated system. It provides several examples of how advanced analytics on EDH have helped organizations like the government address important problems.
Cloud Computing:An Economic Solution for Libraries
This document discusses cloud computing and its potential applications and benefits for libraries. It begins with an introduction to cloud computing that defines it as enabling ubiquitous, convenient access to configurable computing resources. The document then covers cloud computing characteristics, models (IaaS, PaaS, SaaS), architecture, examples of current uses, and pros and cons. In particular, it explores how cloud computing could provide more efficient and flexible library services by reducing costs and increasing storage and mobility while allowing libraries to shift their focus from infrastructure maintenance. Real-world examples of academic libraries currently using cloud solutions are also presented.
Unbundling The Ils
The document discusses the history of integrated library systems (ILS) and the trend of "unbundling" or splitting apart the different functions that were traditionally bundled together in an ILS. It provides examples of systems that have split off functions like the OPAC, serials management, acquisitions, and circulation. Unbundling raises issues around integration between systems and requiring support from multiple vendors rather than a single turn-key system.
Te tfund liberty
This document discusses the automation of library services through a library management system called Liberty. It provides an overview of the need to manage both physical and electronic resources as technology advances. It then describes the features and capabilities of the Liberty system, including its core modules for cataloging, circulation, serials, acquisitions and more. It also discusses additional modules and services like cloud access, mobile apps, and integration with virtual learning environments. The goal is to demonstrate how Liberty can help optimize resource management and improve library services.
Kickfire: Best Of All Worlds
We wanted to know how companies viewed the changing data warehousing landscape, so we surveyed 200 businesses to learn more about the issues they faced. In "Delivering the Best of All Worlds for Today's Analytics" we compare the technology, present the options, and provide findings from our survey. We also discuss the latest column store techniques and open source technology to provide both enterprise class performance and affordability.
Kirill Klip GEM Royalty TNR Gold Copper Presentation
Tesla Energy rEVolution And The Golden Age For Copper: Kirill Klip GEM Royalty TNR Gold Copper Presentation
More Related Content
Similar to Libr243 Future Trends Ms
Apache Flink: Real-World Use Cases for Streaming Analytics
This face to face talk about Apache Flink in Sao Paulo, Brazil is the first event of its kind in Latin America! It explains how Apache Flink 1.0 announced on March 8th, 2016 by the Apache Software Foundation (link), marks a new era of Big Data analytics and in particular Real-Time streaming analytics. The talk maps Flink's capabilities to real-world use cases that span multiples verticals such as: Financial Services, Healthcare, Advertisement, Oil and Gas, Retail and Telecommunications.
In this talk, you learn more about:
1. What is Apache Flink Stack?
2. Batch vs. Streaming Analytics
3. Key Differentiators of Apache Flink for Streaming Analytics
4. Real-World Use Cases with Flink for Streaming Analytics
5. Who is using Flink?
6. Where do you go from here?
Analysis of Major Trends in Big Data Analytics
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics driven by data streams, technology advances, business needs and consumer demands, 3) the growth of in-memory analytics using tools like Alluxio and RocksDB, 4) rapid application development using APIs, notebooks, GUIs and microservices, 5) open sourcing of machine learning systems by tech giants, and 6) hybrid cloud computing models for deploying big data applications both on-premise and in the cloud.
Analysis of Major Trends in Big Data Analytics
Slim Baltagi, director of Enterprise Architecture at Capital One, gave a presentation at Hadoop Summit on major trends in big data analytics. He discussed 1) increasing portability between execution engines using Apache Beam, 2) the emergence of stream analytics to enable real-time insights, and 3) leveraging in-memory technologies. He also covered 4) rapid application development tools, 5) open-sourcing of machine learning systems, and 6) hybrid cloud deployments of big data applications across on-premise and cloud environments.
Bibliotheken en cloud computing
Bibliotheken en cloud computingVlaamse Vereniging voor Bibliotheek, Archief & Documentatie vzw (VVBAD)
This document discusses cloud computing and its potential applications for libraries. It begins by defining cloud computing and providing examples. It then discusses the benefits of cloud computing for enterprises and libraries, including cost savings, scalability, and the ability to focus on core services. The document outlines some ideas for applying cloud computing architecture to library management services. This would include building services around infrastructure, data, and community. It envisions a cooperative platform that allows libraries to develop and share applications. The platform could support collaboration and innovation across libraries.Library Automation A - Z Guide: A Hands on Module
It is all about the Library Automation. A complete guide for making a Library Audomated. Request for feed-back. Ashok
Database project
This proposal suggests fully computerizing the Run Run Shaw Library system to address current inefficiencies and inability to handle future workload increases. A client-server system is recommended with one centralized database server and client terminals. The new system would allow for centralized data control and high-speed processing. It is expected to improve services and position the library for future needs through a more efficient, accurate and user-friendly system compared to the current manual process. A detailed implementation plan is provided covering gathering requirements, design, testing, and budget.
Advanced Library Automation System
By the end of the lesson you should be able to:
Appreciate need for library automation
Understand basic features and functions of Library Management System
Define the role of standards in library automation and resource sharing
Making a plan for library automation
Evaluate an integrated library management system
Prepare and implementation strategy
Scope:
Need for library automation
Integrated Library Management Systems
Standards
Preparing a plan for library automation
Selection and Acquisition of library management system
Implementation of integrated library system
Library Automation :
Library automation is the general term for information and communications technologies (ICT) that are used to replace manual systems in the library.
IT Performance Management Handbook for CIOs
Learn why measuring performance on individual devices and systems often leaves admins flying blind when it comes to SLA management and identifying performance bottlenecks. This in-depth e-Guide talks about how VirtualWisdom4 can give administrators a live, up- to-the-second view across the system-wide IT infrastructure.
Bodleian Library's DAMS system
Internal briefing on what the DAMS system is and isn't, and why certain choices were made in its design.
Responsive Innovation in a Local Context
The document discusses responsive innovation in a local context. It covers 5 topics: usage data and analytics, local and remote systems, residents and visitors, customer relationship management, and responsive innovation. The key points are that libraries should leverage usage data to improve services locally, consider local customization versus remote/SaaS systems, recognize that users can be residents or visitors with different needs, and focus on responsive innovation to meet local needs.
"Open Source for Public Libraries Case Study IBLA Soft Library Automation Sof...
The IOSSPL Project developed an open-source library automation software called IBLA Soft using emerging technologies like OSS, J2EE, and portals. IBLA Soft was implemented in pilot libraries in Romania and is offered free to other public libraries. It provides a portal for centralized management of catalogues, loans, and assets across branches. Future plans include expanding use to educational libraries, integrating mobile services, and improving accessibility.
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
Tinder’s Quickfire Pipeline powers all things data at Tinder. It was originally built using AWS Kinesis Firehoses and has since been extended to use both Kafka and other event buses. It is the core of Tinder’s data infrastructure. This rich data flow of both client and backend data has been extended to service a variety of needs at Tinder, including Experimentation, ML, CRM, and Observability, allowing backend developers easier access to shared client side data. We perform this using many systems, including Kafka, Spark, Flink, Kubernetes, and Prometheus. Many of Tinder’s systems were natively designed in an RPC first architecture.
Things we’ll discuss decoupling your system at scale via event-driven architectures include:
– Powering ML, backend, observability, and analytical applications at scale, including an end to end walk through of our processes that allow non-programmers to write and deploy event-driven data flows.
– Show end to end the usage of dynamic event processing that creates other stream processes, via a dynamic control plane topology pattern and broadcasted state pattern
– How to manage the unavailability of cached data that would normally come from repeated API calls for data that’s being backfilled into Kafka, all online! (and why this is not necessarily a “good” idea)
– Integrating common OSS frameworks and libraries like Kafka Streams, Flink, Spark and friends to encourage the best design patterns for developers coming from traditional service oriented architectures, including pitfalls and lessons learned along the way.
– Why and how to avoid overloading microservices with excessive RPC calls from event-driven streaming systems
– Best practices in common data flow patterns, such as shared state via RocksDB + Kafka Streams as well as the complementary tools in the Apache Ecosystem.
– The simplicity and power of streaming SQL with microservices
Operator-Less DataCenters A Near Future Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Operator-less DataCenters -- A Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...MmIT - Multimedia Information Technology Group for CILIP
This document discusses the emergence of new library automation platforms that address the current and future realities of libraries. It notes that legacy library management systems were designed for print collections and have not fully evolved to manage the growing proportions of electronic resources in libraries. New library services platforms aim for a more unified approach to managing all types of library resources and materials. The document provides an overview of these new platforms and how they differ from traditional library management systems, as well as the progress of their development and adoption in libraries. It forecasts that these new platforms will have a long-term impact on the library automation industry.Cloudera Breakfast: Advanced Analytics Part II: Do More With Your Data
This document discusses how Cloudera Enterprise Data Hub (EDH) can be used for advanced analytics. EDH allows users to perform diverse concurrent analytics on large datasets without moving the data. It includes tools for machine learning, graph analytics, search, and statistical analysis. EDH protects data through security features and system change tracking. The document argues that EDH is the only platform that can support all these analytics capabilities in a single, integrated system. It provides several examples of how advanced analytics on EDH have helped organizations like the government address important problems.
Cloud Computing:An Economic Solution for Libraries
This document discusses cloud computing and its potential applications and benefits for libraries. It begins with an introduction to cloud computing that defines it as enabling ubiquitous, convenient access to configurable computing resources. The document then covers cloud computing characteristics, models (IaaS, PaaS, SaaS), architecture, examples of current uses, and pros and cons. In particular, it explores how cloud computing could provide more efficient and flexible library services by reducing costs and increasing storage and mobility while allowing libraries to shift their focus from infrastructure maintenance. Real-world examples of academic libraries currently using cloud solutions are also presented.
Unbundling The Ils
The document discusses the history of integrated library systems (ILS) and the trend of "unbundling" or splitting apart the different functions that were traditionally bundled together in an ILS. It provides examples of systems that have split off functions like the OPAC, serials management, acquisitions, and circulation. Unbundling raises issues around integration between systems and requiring support from multiple vendors rather than a single turn-key system.
Te tfund liberty
This document discusses the automation of library services through a library management system called Liberty. It provides an overview of the need to manage both physical and electronic resources as technology advances. It then describes the features and capabilities of the Liberty system, including its core modules for cataloging, circulation, serials, acquisitions and more. It also discusses additional modules and services like cloud access, mobile apps, and integration with virtual learning environments. The goal is to demonstrate how Liberty can help optimize resource management and improve library services.
Kickfire: Best Of All Worlds
We wanted to know how companies viewed the changing data warehousing landscape, so we surveyed 200 businesses to learn more about the issues they faced. In "Delivering the Best of All Worlds for Today's Analytics" we compare the technology, present the options, and provide findings from our survey. We also discuss the latest column store techniques and open source technology to provide both enterprise class performance and affordability.
Similar to Libr243 Future Trends Ms (20)
Apache Flink: Real-World Use Cases for Streaming Analytics
Apache Flink: Real-World Use Cases for Streaming Analytics
"Open Source for Public Libraries Case Study IBLA Soft Library Automation Sof...
"Open Source for Public Libraries Case Study IBLA Soft Library Automation Sof...
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
Event Driven Architecture with a RESTful Microservices Architecture (Kyle Ben...
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...
Paradigm Shift: A Slate of New Automation Platforms address Current and Futur...
Cloudera Breakfast: Advanced Analytics Part II: Do More With Your Data
Cloudera Breakfast: Advanced Analytics Part II: Do More With Your Data
Cloud Computing:An Economic Solution for Libraries
Cloud Computing:An Economic Solution for Libraries
Recently uploaded
Kirill Klip GEM Royalty TNR Gold Copper Presentation
Tesla Energy rEVolution And The Golden Age For Copper: Kirill Klip GEM Royalty TNR Gold Copper Presentation
DPBOSS | KALYAN MAIN MARKET FAST MATKA RESULT KALYAN MATKA | MATKA RESULT | K...
DPBOSS | KALYAN MAIN MARKET FAST MATKA RESULT KALYAN MATKA | MATKA RESULT | K...DP Boss Satta Matka Kalyan Matka
DPBOSS | KALYAN MAIN MARKET FAST MATKA RESULT KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | МАТКА СОМ | MATKA PANA JODI TODAY | BATTA SATKA MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA MATKA NUMBER FIX MATKANUMBER FIX SATTAMATKA FIXMATKANUMBER SATTA MATKA ALL SATTA MATKA FREE GAME KALYAN MATKA TIPS KAPIL MATKA GAME SATTA MATKA KALYAN GAME DAILY FREE 4 ANK ALL MARKET PUBLIC SEVA WEBSITE FIX FIX MATKA NUMBER INDIA.S NO1 WEBSITE TTA FIX FIX MATKA GURU INDIA MATKA KALYAN CHART MATKA GUESSING KALYAN FIX OPEN FINAL 3 ANK SATTAMATKA143 GUESSING SATTA BATTA MATKA FIX NUMBER TODAY WAPKA FIX AAPKA FIX FIX FIX FIX SATTA GURU NUMBER SATTA MATKA ΜΑΤΚΑ143 SATTA SATTA SATTA MATKA SATTAMATKA1438 FIX МАТКА MATKA BOSS SATTA LIVE ЗМАТКА 143 FIX FIX FIX KALYAN JODI MATKA KALYAN FIX FIX WAP MATKA BOSS440 SATTA MATKA FIX FIX MATKA NUMBER SATTA MATKA FIXMATKANUMBER FIX MATKA MATKA RESULT FIX MATKA NUMBER FREE DAILY FIX MATKA NUMBER FIX FIX MATKA JODI SATTA MATKA FIX ANK MATKA ANK FIX KALYAN MUMBAI ΜΑΤΚΑ NUMBER➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka Satta Matta Matka KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 Truck Loading Conveyor Manufacturers Chennai
https://conveyorManufacturersManufacturers.com/
#bangalore #hyderabad #cochin #chennai #munnar #ooty #mysore #alappuzha #pondicherry #madurai #karnataka #tirupati #visakhapatnam #coimbatore #kerala #thanjavur #thiruvananthapuram #andhra #telangana #tamilnadu #andamanandnicobar #lakshadweep #hubli #secunderabad #kozhikode #mangaluru #trichy #palakkad #dharwad #kurnool #kottayam #raichur #amravati #vijayawada #kanyakumari #rameshwaram #warangal #mahabalipuram #mumbai #pune #nashik
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKASatta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Easy Earnings Through Refer and Earn Apps Without KYC.pptx
Learn how to make extra money with refer and earn apps that don’t require KYC. Find out the advantages, top apps, and strategies to boost your earnings quickly and easily.
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KALYAN FIX JODI ANK LEAK FIX GAME BY DP BOSS MATKA SATTA NUMBER TODAY LUCKY NUMBER FREE TIPS ...
Kanban Coaching Exchange with Dave White - Example SDR Report
Slides from the June 2024 Kanban Coaching Exchange with Dave White. He talked about the Service Delivery Review.
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka Satta Matta Matka KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKALukas Rycek - GreenChemForCE - project structure.pptx
Projekt GreenChemForCE
Podporujeme zelený chemický průmysl ve střední Evropě
一比一原版(lbs毕业证书)英国伦敦商学院毕业证如何办理
原版一模一样【微信：741003700 】【(lbs毕业证书)英国伦敦商学院毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(lbs毕业证书)英国伦敦商学院毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(lbs毕业证书)英国伦敦商学院毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(lbs毕业证书)英国伦敦商学院毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(lbs毕业证书)英国伦敦商学院毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
8328958814KALYAN MATKA | MATKA RESULT | KALYAN
8328958814KALYAN MATKA | MATKA RESULT | KALYAN KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA
L'indice de performance des ports à conteneurs de l'année 2023
Une évaluation comparable de la performance basée sur le temps d'escale des navires
L'objectif de l'ICPP est d'identifier les domaines d'amélioration qui peuvent en fin de compte bénéficier à toutes les parties concernées, des compagnies maritimes aux gouvernements nationaux en passant par les consommateurs. Il est conçu pour servir de point de référence aux principaux acteurs de l'économie mondiale, notamment les autorités et les opérateurs portuaires, les gouvernements nationaux, les organisations supranationales, les agences de développement, les divers intérêts maritimes et d'autres acteurs publics et privés du commerce, de la logistique et des services de la chaîne d'approvisionnement.
Le développement de l'ICPP repose sur le temps total passé par les porte-conteneurs dans les ports, de la manière expliquée dans les sections suivantes du rapport, et comme dans les itérations précédentes de l'ICPP. Cette quatrième itération utilise des données pour l'année civile complète 2023. Elle poursuit le changement introduit l'année dernière en n'incluant que les ports qui ont eu un minimum de 24 escales valides au cours de la période de 12 mois de l'étude. Le nombre de ports inclus dans l'ICPP 2023 est de 405.
Comme dans les éditions précédentes de l'ICPP, la production du classement fait appel à deux approches méthodologiques différentes : une approche administrative, ou technique, une méthodologie pragmatique reflétant les connaissances et le jugement des experts ; et une approche statistique, utilisant l'analyse factorielle (AF), ou plus précisément la factorisation matricielle. L'utilisation de ces deux approches vise à garantir que le classement des performances des ports à conteneurs reflète le plus fidèlement possible les performances réelles des ports, tout en étant statistiquement robuste.
Recently uploaded (20)
Kirill Klip GEM Royalty TNR Gold Copper Presentation
Kirill Klip GEM Royalty TNR Gold Copper Presentation
DPBOSS | KALYAN MAIN MARKET FAST MATKA RESULT KALYAN MATKA | MATKA RESULT | K...
DPBOSS | KALYAN MAIN MARKET FAST MATKA RESULT KALYAN MATKA | MATKA RESULT | K...
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Easy Earnings Through Refer and Earn Apps Without KYC.pptx
Easy Earnings Through Refer and Earn Apps Without KYC.pptx
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
Kanban Coaching Exchange with Dave White - Example SDR Report
Kanban Coaching Exchange with Dave White - Example SDR Report
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
Lukas Rycek - GreenChemForCE - project structure.pptx
Lukas Rycek - GreenChemForCE - project structure.pptx
L'indice de performance des ports à conteneurs de l'année 2023
L'indice de performance des ports à conteneurs de l'année 2023