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Introduction: Introduction to UNIX, Linux, GNU and Linux distributions Duties of the System Administrator, The Linux System Administrator, Installing and Configuring Servers, Installing and Configuring Application Software, Creating and Maintaining User Accounts, Backing Up and Restoring Files, Monitoring and Tuning Performance, Configuring a Secure System, Using Tools to Monitor Security Booting and shutting down: Boot loaders-GRUB, LILO, Bootstrapping, Init process, rc scripts, Enabling and disabling services. The File System: Understanding the File System Structure, Working with Linux- Supported File Systems, Memory and Virtual System Configuration Files: System wide Shell Configuration Scripts, System Environmental Settings, Network Configuration Files, Managing the init Scripts, Configuration Tool, Editing Your Network Configuration TCP/IP Networking: Understanding Network Classes, Setting Up a Network nterface Card (NIC), Understanding Subnetting, Working with Gateways and Routers, Configuring Dynamic Host Configuration Protocol, Configuring the Network Using the Network The Network File System: NFS Overview, Planning an NFS Installation, Configuring an NFS Server, Configuring an NFS Client, Using Automount Services, Examining NFS Security Connecting to Microsoft Networks: Installing Samba, Configuring the Samba Server, Creating Samba Users 3, Starting the Samba Server, Connecting to a Samba Client, Connecting from a Windows PC to the Samba Server Additional Network Services: Configuring a Time Server, Providing a Caching Proxy Server Internet Services: Secure Services, SSH, scp, sftp Less Secure Services (Telnet ,FTP, sync,rsh ,rlogin,finger,talk and ntalk, Linux Machine as a Server, Configuring the xinetd Server, Comparing xinetd and Standalone, Configuring Linux Firewall Packages, Domain Name System: Understanding DNS, Understanding Types of Domain Servers, Examining Server Configuration Files, Configuring a Caching DNS Server, Configuring a Secondary Master DNS Server, Configuring a Primary Master Server, Checking Configuration Configuring Mail Services: Tracing the Email Delivery Process, Mail User Agent (MUA), Introducing SMTP, Configuring Sendmail, Using the Postfix Mail Server, Serving Email with POP3 and IMAP, Maintaining Email Security Configuring FTP Services: Introducing vsftpd, Configuring vsftpd, Advanced FTP Server Configuration, Using SFTP Configuring a Web Server: Introducing Apache, Configuring Apache, Implementing SSI, Enabling CGI, Enabling PHP, Creating a Secure Server with SSL System Administration: Administering Users and Groups Installing and Upgrading Software Packages
tybsc it sem 5 Linux administration notes of unit 1,2,3,4,5,6 version 3
tybsc it sem 5 Linux administration notes of unit 1,2,3,4,5,6 version 3
WE-IT TUTORIALS
Global Design and Manufacturing Companies spend a lot of time looking in the rear-view mirror relative to their product design and configuration requirements in order to determine what NOT to do in the future. A lot of time and money is spent tracking information related to design validation, testing and warranty data. Understanding history is important, it often repeats and the bad decisions of the past needs to be avoided. But, what about the GOOD decisions that have been made, those are just as, if not more important to a design and configuration process! Where do those get stored?! How are they measured?! Most importantly, HOW ARE THEY ENFORCED?! Specifically, how do you help someone in a company make the RIGHT decisions, not just be fearful of repeating a BAD one?! This is a complex problem for any Design, Engineering or IT Department. That problem gets even more complex when you are required to incorporate a 3D CAD (Computer Aided Design) systems into the mix. If 3D parts and assemblies do not physically connect together properly, or are never supposed to work logically together based on the customer application, you will lose business. The solution is to rethink the approach to how a company not only captures knowledge about failures, but also start to capture successes. The ultimate goal is to help design and engineering staff make the right decisions first, to guide them through valid relations and requirements with ease so they are never distracted by bad decisions - or forced to address a potentially bad decision before it is made. This is where graph databases are poised to address a very complex problem in a simple and easy to understand way. There are two problems that come up from this: 1) how to document the relationships, rules, dependencies and logic in the graph structure, and 2) how to guide/navigate different role-specific-users through that process safely/accurately. This presentation will cover the real-world complexities of defining, validating, documenting and enforcing mechanical 3D CAD product configuration rules and structures. Demonstrations of how different roles within the company (e.g. configuration manager, engineer, sales, etc.) can interface with the same graph database using multiple interfaces (e.g. thick client, thin and web) to be interactively guided to a proper solution the first time.
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013
Neo4j
See how financial services, banking and retail are using graph-enhanced machine learning to thwart fraud. Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
Build Intelligent Fraud Prevention with Machine Learning and Graphs
Build Intelligent Fraud Prevention with Machine Learning and Graphs
Neo4j
APPSEC CHALLENGES - Writing Secure Code is not Easy - Most follows agile development strategies - Frequent releases and builds - Any release can introduce or reintroduce vulnerabilities - Problems by design. Ex: Session Hijacking, Credential Stuffing
Technical Architecture of RASP Technology
Technical Architecture of RASP Technology
Priyanka Aash
This is the lab work of UML lab and Software Testing Lab at RTU, Kota harshmishra91@gmail.com
Software Testing and UML Lab
Software Testing and UML Lab
Harsh Kishore Mishra
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Graph and Amazon Neptune
Graph and Amazon Neptune
Amazon Web Services
NVIDIA's Rapids presentation
NVIDIA Rapids presentation
NVIDIA Rapids presentation
testSri1
Uml Common Mechanism
Uml Common Mechanism
Uml Common Mechanism
Satyamevjayte Haxor
Recommandé
Introduction: Introduction to UNIX, Linux, GNU and Linux distributions Duties of the System Administrator, The Linux System Administrator, Installing and Configuring Servers, Installing and Configuring Application Software, Creating and Maintaining User Accounts, Backing Up and Restoring Files, Monitoring and Tuning Performance, Configuring a Secure System, Using Tools to Monitor Security Booting and shutting down: Boot loaders-GRUB, LILO, Bootstrapping, Init process, rc scripts, Enabling and disabling services. The File System: Understanding the File System Structure, Working with Linux- Supported File Systems, Memory and Virtual System Configuration Files: System wide Shell Configuration Scripts, System Environmental Settings, Network Configuration Files, Managing the init Scripts, Configuration Tool, Editing Your Network Configuration TCP/IP Networking: Understanding Network Classes, Setting Up a Network nterface Card (NIC), Understanding Subnetting, Working with Gateways and Routers, Configuring Dynamic Host Configuration Protocol, Configuring the Network Using the Network The Network File System: NFS Overview, Planning an NFS Installation, Configuring an NFS Server, Configuring an NFS Client, Using Automount Services, Examining NFS Security Connecting to Microsoft Networks: Installing Samba, Configuring the Samba Server, Creating Samba Users 3, Starting the Samba Server, Connecting to a Samba Client, Connecting from a Windows PC to the Samba Server Additional Network Services: Configuring a Time Server, Providing a Caching Proxy Server Internet Services: Secure Services, SSH, scp, sftp Less Secure Services (Telnet ,FTP, sync,rsh ,rlogin,finger,talk and ntalk, Linux Machine as a Server, Configuring the xinetd Server, Comparing xinetd and Standalone, Configuring Linux Firewall Packages, Domain Name System: Understanding DNS, Understanding Types of Domain Servers, Examining Server Configuration Files, Configuring a Caching DNS Server, Configuring a Secondary Master DNS Server, Configuring a Primary Master Server, Checking Configuration Configuring Mail Services: Tracing the Email Delivery Process, Mail User Agent (MUA), Introducing SMTP, Configuring Sendmail, Using the Postfix Mail Server, Serving Email with POP3 and IMAP, Maintaining Email Security Configuring FTP Services: Introducing vsftpd, Configuring vsftpd, Advanced FTP Server Configuration, Using SFTP Configuring a Web Server: Introducing Apache, Configuring Apache, Implementing SSI, Enabling CGI, Enabling PHP, Creating a Secure Server with SSL System Administration: Administering Users and Groups Installing and Upgrading Software Packages
tybsc it sem 5 Linux administration notes of unit 1,2,3,4,5,6 version 3
tybsc it sem 5 Linux administration notes of unit 1,2,3,4,5,6 version 3
WE-IT TUTORIALS
Global Design and Manufacturing Companies spend a lot of time looking in the rear-view mirror relative to their product design and configuration requirements in order to determine what NOT to do in the future. A lot of time and money is spent tracking information related to design validation, testing and warranty data. Understanding history is important, it often repeats and the bad decisions of the past needs to be avoided. But, what about the GOOD decisions that have been made, those are just as, if not more important to a design and configuration process! Where do those get stored?! How are they measured?! Most importantly, HOW ARE THEY ENFORCED?! Specifically, how do you help someone in a company make the RIGHT decisions, not just be fearful of repeating a BAD one?! This is a complex problem for any Design, Engineering or IT Department. That problem gets even more complex when you are required to incorporate a 3D CAD (Computer Aided Design) systems into the mix. If 3D parts and assemblies do not physically connect together properly, or are never supposed to work logically together based on the customer application, you will lose business. The solution is to rethink the approach to how a company not only captures knowledge about failures, but also start to capture successes. The ultimate goal is to help design and engineering staff make the right decisions first, to guide them through valid relations and requirements with ease so they are never distracted by bad decisions - or forced to address a potentially bad decision before it is made. This is where graph databases are poised to address a very complex problem in a simple and easy to understand way. There are two problems that come up from this: 1) how to document the relationships, rules, dependencies and logic in the graph structure, and 2) how to guide/navigate different role-specific-users through that process safely/accurately. This presentation will cover the real-world complexities of defining, validating, documenting and enforcing mechanical 3D CAD product configuration rules and structures. Demonstrations of how different roles within the company (e.g. configuration manager, engineer, sales, etc.) can interface with the same graph database using multiple interfaces (e.g. thick client, thin and web) to be interactively guided to a proper solution the first time.
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013
Neo4j
See how financial services, banking and retail are using graph-enhanced machine learning to thwart fraud. Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
Build Intelligent Fraud Prevention with Machine Learning and Graphs
Build Intelligent Fraud Prevention with Machine Learning and Graphs
Neo4j
APPSEC CHALLENGES - Writing Secure Code is not Easy - Most follows agile development strategies - Frequent releases and builds - Any release can introduce or reintroduce vulnerabilities - Problems by design. Ex: Session Hijacking, Credential Stuffing
Technical Architecture of RASP Technology
Technical Architecture of RASP Technology
Priyanka Aash
This is the lab work of UML lab and Software Testing Lab at RTU, Kota harshmishra91@gmail.com
Software Testing and UML Lab
Software Testing and UML Lab
Harsh Kishore Mishra
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Graph and Amazon Neptune
Graph and Amazon Neptune
Amazon Web Services
NVIDIA's Rapids presentation
NVIDIA Rapids presentation
NVIDIA Rapids presentation
testSri1
Uml Common Mechanism
Uml Common Mechanism
Uml Common Mechanism
Satyamevjayte Haxor
Hadoop installation tips
Hadoop Installation presentation
Hadoop Installation presentation
puneet yadav
Aspect Oriented Software Development
Aspect Oriented Software Development
Jignesh Patel
This Edureka Hadoop Ecosystem Tutorial (Hadoop Ecosystem blog: https://goo.gl/EbuBGM) will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial: Hadoop Ecosystem: 1. HDFS - Hadoop Distributed File System 2. YARN - Yet Another Resource Negotiator 3. MapReduce - Data processing using programming 4. Spark - In-memory Data Processing 5. Pig, Hive - Data Processing Services using Query 6. HBase - NoSQL Database 7. Mahout, Spark MLlib - Machine Learning 8. Apache Drill - SQL on Hadoop 9. Zookeeper - Managing Cluster 10. Oozie - Job Scheduling 11. Flume, Sqoop - Data Ingesting Services 12. Solr & Lucene - Searching & Indexing 13. Ambari - Provision, Monitor and Maintain Cluster
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Edureka!
After registration at https://www.brighttalk.com/webcast/9273/364148, you can view the full recording, which begins with Scott Abel's intro for a few minutes, then my talk for 20 minutes, and then Sebastian Gabler's. First presented on October 23 at an SWC webinar. Conclusions: (1) The mirrorworld (a world of digital twins, which will be 25 years in the making, according to Kevin Kelly) will require semantic knowledge graphs for interaction and interoperability. (2) This fact implies massive future demand for knowledge graph technology and other new data infrastructure innovations, comparable to the scale of oil & gas industry infrastructure development over 150 years. (3) Conceivably, knowledge graphs could be used to address a $205 billion market demand by 2021 for graph databases, information management, digital twins, conversational AI, virtual assistants and as knowledge bases/accelerated training for deep learning, etc. but the problem is that awareness of the tech is low, and the semantics community that understands the tech is still quite small. (4) Over the next decades, knowledge graphs promise both scalability and substantial efficiencies in enterprises. But lack of awareness of its potential and how to harness it will continue to be stumbling blocks to adoption.
Scaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphs
Alan Morrison
Develop a native application that uses GPS location
Develop a native application that uses GPS location.pptx
Develop a native application that uses GPS location.pptx
vishal choudhary
Face login is my 2015 graduation project started in 2014 and lasted 1.5 years of work. Generally, it is an identification system using face images. It is a multi-use system but it was mainly created to authorize users to login into their system. There is an IEEE paper published by the project algorithm used in ICCES 2014 http://ieeexplore.ieee.org/abstract/document/7030929/. Here is its citation Semary, Noura A., and Ahmed Fawzi Gad. "A proposed framework for robust face identification system." Computer Engineering & Systems (ICCES), 2014 9th International Conference on. IEEE, 2014. A YouTube video describing the project generally. https://www.youtube.com/watch?v=OUvaPW70Eko Find me on: AFCIT http://www.afcit.xyz YouTube https://www.youtube.com/channel/UCuewOYbBXH5gwhfOrQOZOdw Google Plus https://plus.google.com/u/0/+AhmedGadIT SlideShare https://www.slideshare.net/AhmedGadFCIT LinkedIn https://www.linkedin.com/in/ahmedfgad/ ResearchGate https://www.researchgate.net/profile/Ahmed_Gad13 Academia https://www.academia.edu/ Google Scholar https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en Mendelay https://www.mendeley.com/profiles/ahmed-gad12/ ORCID https://orcid.org/0000-0003-1978-8574 StackOverFlow http://stackoverflow.com/users/5426539/ahmed-gad Twitter https://twitter.com/ahmedfgad Facebook https://www.facebook.com/ahmed.f.gadd Pinterest https://www.pinterest.com/ahmedfgad/
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Ahmed Gad
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
Big Data & Hadoop Tutorial
Big Data & Hadoop Tutorial
Edureka!
- Learn to understand what knowledge graphs are for - Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies) - Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods. - Understand knowledge graphs as a basis for data integration in companies - Understand knowledge graphs as tools for data governance and data quality management - Implement and further develop knowledge graphs in companies - Query and visualize knowledge graphs (including SPARQL and SHACL crash course) - Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision - Develop digital assistants and question and answer systems based on semantic knowledge graphs - Understand how knowledge graphs can be combined with text mining and machine learning techniques - Apply knowledge graphs in practice: Case studies and demo applications
Introduction to Knowledge Graphs and Semantic AI
Introduction to Knowledge Graphs and Semantic AI
Semantic Web Company
Basic Introduction to Hadoop, Mapreduce and HDFS for big data application.
Introduction to Hadoop and Hadoop component
Introduction to Hadoop and Hadoop component
rebeccatho
Quick look at trends in data, nosql, graph databases, and Neo4j.
Introduction to Graph Databases
Introduction to Graph Databases
Max De Marzi
big data hadoop system hdfs
Hadoop HDFS.ppt
Hadoop HDFS.ppt
6535ANURAGANURAG
Database System
Data-base-system-and-big-data.pptx
Data-base-system-and-big-data.pptx
MelchorCleve
Ian closely looks at design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.g
Designing and Building a Graph Database Application – Architectural Choices, ...
Designing and Building a Graph Database Application – Architectural Choices, ...
Neo4j
Android Application that makes use of RSS Feed
Android Application that makes use of RSS Feed.pptx
Android Application that makes use of RSS Feed.pptx
vishal choudhary
Advanced Software Engineering course, a.y. 2014-2015 http://lore.com/Advanced-Software-Engineering-Univaq/ This lecture is about Architecture Description Languages. What they are, how they evolved in time, current challenges and perspectives.
Architecture Description Languages
Architecture Description Languages
Henry Muccini
A presentation about GRASP Principles and Object Oriented Design
GRASP Principles
GRASP Principles
Gianfranco Zas
Basics about Reusability
Reusability
Reusability
university of education,Lahore
A high-level introduction to Apache Hadoop
Introduction to Apache Hadoop Eco-System
Introduction to Apache Hadoop Eco-System
Md. Hasan Basri (Angel)
APACHE PIG
Unit 4-apache pig
Unit 4-apache pig
vishal choudhary
It is a small presentation on introducton and working of hadoop
Introduction to Hadoop Technology
Introduction to Hadoop Technology
Manish Borkar
java question paper 5th sem
java question paper 5th sem
shaikfarhan8
Question Paper
Java (Information Technology) Question paper for T.Y Bca
Java (Information Technology) Question paper for T.Y Bca
JIGAR MAKHIJA
Contenu connexe
Tendances
Hadoop installation tips
Hadoop Installation presentation
Hadoop Installation presentation
puneet yadav
Aspect Oriented Software Development
Aspect Oriented Software Development
Jignesh Patel
This Edureka Hadoop Ecosystem Tutorial (Hadoop Ecosystem blog: https://goo.gl/EbuBGM) will help you understand about a set of tools and services which together form a Hadoop Ecosystem. Below are the topics covered in this Hadoop Ecosystem Tutorial: Hadoop Ecosystem: 1. HDFS - Hadoop Distributed File System 2. YARN - Yet Another Resource Negotiator 3. MapReduce - Data processing using programming 4. Spark - In-memory Data Processing 5. Pig, Hive - Data Processing Services using Query 6. HBase - NoSQL Database 7. Mahout, Spark MLlib - Machine Learning 8. Apache Drill - SQL on Hadoop 9. Zookeeper - Managing Cluster 10. Oozie - Job Scheduling 11. Flume, Sqoop - Data Ingesting Services 12. Solr & Lucene - Searching & Indexing 13. Ambari - Provision, Monitor and Maintain Cluster
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Edureka!
After registration at https://www.brighttalk.com/webcast/9273/364148, you can view the full recording, which begins with Scott Abel's intro for a few minutes, then my talk for 20 minutes, and then Sebastian Gabler's. First presented on October 23 at an SWC webinar. Conclusions: (1) The mirrorworld (a world of digital twins, which will be 25 years in the making, according to Kevin Kelly) will require semantic knowledge graphs for interaction and interoperability. (2) This fact implies massive future demand for knowledge graph technology and other new data infrastructure innovations, comparable to the scale of oil & gas industry infrastructure development over 150 years. (3) Conceivably, knowledge graphs could be used to address a $205 billion market demand by 2021 for graph databases, information management, digital twins, conversational AI, virtual assistants and as knowledge bases/accelerated training for deep learning, etc. but the problem is that awareness of the tech is low, and the semantics community that understands the tech is still quite small. (4) Over the next decades, knowledge graphs promise both scalability and substantial efficiencies in enterprises. But lack of awareness of its potential and how to harness it will continue to be stumbling blocks to adoption.
Scaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphs
Alan Morrison
Develop a native application that uses GPS location
Develop a native application that uses GPS location.pptx
Develop a native application that uses GPS location.pptx
vishal choudhary
Face login is my 2015 graduation project started in 2014 and lasted 1.5 years of work. Generally, it is an identification system using face images. It is a multi-use system but it was mainly created to authorize users to login into their system. There is an IEEE paper published by the project algorithm used in ICCES 2014 http://ieeexplore.ieee.org/abstract/document/7030929/. Here is its citation Semary, Noura A., and Ahmed Fawzi Gad. "A proposed framework for robust face identification system." Computer Engineering & Systems (ICCES), 2014 9th International Conference on. IEEE, 2014. A YouTube video describing the project generally. https://www.youtube.com/watch?v=OUvaPW70Eko Find me on: AFCIT http://www.afcit.xyz YouTube https://www.youtube.com/channel/UCuewOYbBXH5gwhfOrQOZOdw Google Plus https://plus.google.com/u/0/+AhmedGadIT SlideShare https://www.slideshare.net/AhmedGadFCIT LinkedIn https://www.linkedin.com/in/ahmedfgad/ ResearchGate https://www.researchgate.net/profile/Ahmed_Gad13 Academia https://www.academia.edu/ Google Scholar https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en Mendelay https://www.mendeley.com/profiles/ahmed-gad12/ ORCID https://orcid.org/0000-0003-1978-8574 StackOverFlow http://stackoverflow.com/users/5426539/ahmed-gad Twitter https://twitter.com/ahmedfgad Facebook https://www.facebook.com/ahmed.f.gadd Pinterest https://www.pinterest.com/ahmedfgad/
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Ahmed Gad
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
Big Data & Hadoop Tutorial
Big Data & Hadoop Tutorial
Edureka!
- Learn to understand what knowledge graphs are for - Understand the structure of knowledge graphs (and how it relates to taxonomies and ontologies) - Understand how knowledge graphs can be created using manual, semi-automatic, and fully automatic methods. - Understand knowledge graphs as a basis for data integration in companies - Understand knowledge graphs as tools for data governance and data quality management - Implement and further develop knowledge graphs in companies - Query and visualize knowledge graphs (including SPARQL and SHACL crash course) - Use knowledge graphs and machine learning to enable information retrieval, text mining and document classification with the highest precision - Develop digital assistants and question and answer systems based on semantic knowledge graphs - Understand how knowledge graphs can be combined with text mining and machine learning techniques - Apply knowledge graphs in practice: Case studies and demo applications
Introduction to Knowledge Graphs and Semantic AI
Introduction to Knowledge Graphs and Semantic AI
Semantic Web Company
Basic Introduction to Hadoop, Mapreduce and HDFS for big data application.
Introduction to Hadoop and Hadoop component
Introduction to Hadoop and Hadoop component
rebeccatho
Quick look at trends in data, nosql, graph databases, and Neo4j.
Introduction to Graph Databases
Introduction to Graph Databases
Max De Marzi
big data hadoop system hdfs
Hadoop HDFS.ppt
Hadoop HDFS.ppt
6535ANURAGANURAG
Database System
Data-base-system-and-big-data.pptx
Data-base-system-and-big-data.pptx
MelchorCleve
Ian closely looks at design and implementation strategies you can employ when building a Neo4j-based graph database solution, including architectural choices, data modelling, and testing.g
Designing and Building a Graph Database Application – Architectural Choices, ...
Designing and Building a Graph Database Application – Architectural Choices, ...
Neo4j
Android Application that makes use of RSS Feed
Android Application that makes use of RSS Feed.pptx
Android Application that makes use of RSS Feed.pptx
vishal choudhary
Advanced Software Engineering course, a.y. 2014-2015 http://lore.com/Advanced-Software-Engineering-Univaq/ This lecture is about Architecture Description Languages. What they are, how they evolved in time, current challenges and perspectives.
Architecture Description Languages
Architecture Description Languages
Henry Muccini
A presentation about GRASP Principles and Object Oriented Design
GRASP Principles
GRASP Principles
Gianfranco Zas
Basics about Reusability
Reusability
Reusability
university of education,Lahore
A high-level introduction to Apache Hadoop
Introduction to Apache Hadoop Eco-System
Introduction to Apache Hadoop Eco-System
Md. Hasan Basri (Angel)
APACHE PIG
Unit 4-apache pig
Unit 4-apache pig
vishal choudhary
It is a small presentation on introducton and working of hadoop
Introduction to Hadoop Technology
Introduction to Hadoop Technology
Manish Borkar
Tendances
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Hadoop Installation presentation
Aspect Oriented Software Development
Aspect Oriented Software Development
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Hadoop Ecosystem | Big Data Analytics Tools | Hadoop Tutorial | Edureka
Scaling the mirrorworld with knowledge graphs
Scaling the mirrorworld with knowledge graphs
Develop a native application that uses GPS location.pptx
Develop a native application that uses GPS location.pptx
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Graduation Project - Face Login : A Robust Face Identification System for Sec...
Big Data & Hadoop Tutorial
Big Data & Hadoop Tutorial
Introduction to Knowledge Graphs and Semantic AI
Introduction to Knowledge Graphs and Semantic AI
Introduction to Hadoop and Hadoop component
Introduction to Hadoop and Hadoop component
Introduction to Graph Databases
Introduction to Graph Databases
Hadoop HDFS.ppt
Hadoop HDFS.ppt
Data-base-system-and-big-data.pptx
Data-base-system-and-big-data.pptx
Designing and Building a Graph Database Application – Architectural Choices, ...
Designing and Building a Graph Database Application – Architectural Choices, ...
Android Application that makes use of RSS Feed.pptx
Android Application that makes use of RSS Feed.pptx
Architecture Description Languages
Architecture Description Languages
GRASP Principles
GRASP Principles
Reusability
Reusability
Introduction to Apache Hadoop Eco-System
Introduction to Apache Hadoop Eco-System
Unit 4-apache pig
Unit 4-apache pig
Introduction to Hadoop Technology
Introduction to Hadoop Technology
En vedette
java question paper 5th sem
java question paper 5th sem
shaikfarhan8
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Java (Information Technology) Question paper for T.Y Bca
Java (Information Technology) Question paper for T.Y Bca
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5th Semester (December; January-2014 and 2015) Computer Science and Informati...
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JAVA Programming Questions and Answers PART III
JAVA Programming Questions and Answers PART III
OXUS 20
5th semester VTU BE CS & IS question papers from 2010 to July 2016
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Coorg Institute of Technology, Department Of Library & Information Center , Ponnampet
java interview question
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avinash9821
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pasalasuneelkumar
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Core java lessons
Core java lessons
vivek shah
Core java concepts Slides
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Ram132
Android interview questions for 2yrs to 5yrs experience candidates. These are the most frequently asked android interview questions. This is based on my 8yrs experience as a mobile application developer.
Android interview questions for 2 to 5 years (1)
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satish reddy
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java question paper 5th sem
java question paper 5th sem
Java (Information Technology) Question paper for T.Y Bca
Java (Information Technology) Question paper for T.Y Bca
5th Semester (December; January-2014 and 2015) Computer Science and Informati...
5th Semester (December; January-2014 and 2015) Computer Science and Informati...
JAVA Programming Questions and Answers PART III
JAVA Programming Questions and Answers PART III
5th semester VTU BE CS & IS question papers from 2010 to July 2016
5th semester VTU BE CS & IS question papers from 2010 to July 2016
Java mcq
Java mcq
Android interview questions
Android interview questions
5th semester Computer Science and Information Science Engg (2013 December) Qu...
5th semester Computer Science and Information Science Engg (2013 December) Qu...
Core java lessons
Core java lessons
Core java concepts
Core java concepts
Android interview questions for 2 to 5 years (1)
Android interview questions for 2 to 5 years (1)
Plus de Ashwin Mane
Bamu mms optimization technique 2016 paper
Bamu mms optimization technique paper April 2016
Bamu mms optimization technique paper April 2016
Ashwin Mane
October november 2014
2 Optimization Technique bamu Master in Management Science
2 Optimization Technique bamu Master in Management Science
Ashwin Mane
October - November 2014
Optimization Technique bamu Master in Management Science
Optimization Technique bamu Master in Management Science
Ashwin Mane
MMS Aurangabad Master Management Science
Optimization technique mms bamu aurangabad
Optimization technique mms bamu aurangabad
Ashwin Mane
Master in Management science Aurangabad
Mms artifical inteligence aurangabad
Mms artifical inteligence aurangabad
Ashwin Mane
Aurangabad 2014 Master In Management science
Java programming mms bamu
Java programming mms bamu
Ashwin Mane
Question paper Aurangabad MMS
System Programming Question paper Aurangabad MMS
System Programming Question paper Aurangabad MMS
Ashwin Mane
Functional Management Question paper Aurangabad MMS
Functional Management Question paper Aurangabad MMS
Ashwin Mane
Artificial Intelligence Question Paper MMS Aurangabad
Artificial Intelligence Question Paper MMS Aurangabad
Ashwin Mane
MMS SEM IV- Functional Management
MASTER IN MANAGEMENT SCIENCE SEM IV BAMU AURANGABAD
MASTER IN MANAGEMENT SCIENCE SEM IV BAMU AURANGABAD
Ashwin Mane
MMS SEM IV
MASTER IN MANAGEMENT SCIENCE MMS SEM IV BAMU, AURANGABA
MASTER IN MANAGEMENT SCIENCE MMS SEM IV BAMU, AURANGABA
Ashwin Mane
Mms iv sem a.i
Mms iv sem a.i
Ashwin Mane
SUSE LINUX Deployment Guide
SUSE LINUX Deployment Guide
Ashwin Mane
SAP APPLICATION ON SUSE OS
Sap on suse linux
Sap on suse linux
Ashwin Mane
MMS_SEM_III_BAMU Dec 2012 Aurangabad maharashtra
Master of Management science computers MMS SEM III BAMU
Master of Management science computers MMS SEM III BAMU
Ashwin Mane
MMS II C++ 2012 BAMU AURANGABAD QUESTION PAPER
Master of Management science computers MMS SEM II C++ 2012
Master of Management science computers MMS SEM II C++ 2012
Ashwin Mane
BAMU AURANGABAD QUESTION PAPER MMS SEM III DEC-2012
Master of Management science computers MMS SEM III BAMU 2012 QUESTION PAPER S...
Master of Management science computers MMS SEM III BAMU 2012 QUESTION PAPER S...
Ashwin Mane
SAP S-ID Creation...
How to Create SAP MarketPlace user id
How to Create SAP MarketPlace user id
Ashwin Mane
LoadRunner enables you to test your system under controlled and peak load conditions. To generate load, LoadRunner runs thousands of Virtual Users that are distributed over a network.
Load runner controller
Load runner controller
Ashwin Mane
Plus de Ashwin Mane
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Bamu mms optimization technique paper April 2016
Bamu mms optimization technique paper April 2016
2 Optimization Technique bamu Master in Management Science
2 Optimization Technique bamu Master in Management Science
Optimization Technique bamu Master in Management Science
Optimization Technique bamu Master in Management Science
Optimization technique mms bamu aurangabad
Optimization technique mms bamu aurangabad
Mms artifical inteligence aurangabad
Mms artifical inteligence aurangabad
Java programming mms bamu
Java programming mms bamu
System Programming Question paper Aurangabad MMS
System Programming Question paper Aurangabad MMS
Functional Management Question paper Aurangabad MMS
Functional Management Question paper Aurangabad MMS
Artificial Intelligence Question Paper MMS Aurangabad
Artificial Intelligence Question Paper MMS Aurangabad
MASTER IN MANAGEMENT SCIENCE SEM IV BAMU AURANGABAD
MASTER IN MANAGEMENT SCIENCE SEM IV BAMU AURANGABAD
MASTER IN MANAGEMENT SCIENCE MMS SEM IV BAMU, AURANGABA
MASTER IN MANAGEMENT SCIENCE MMS SEM IV BAMU, AURANGABA
Mms iv sem a.i
Mms iv sem a.i
SUSE LINUX Deployment Guide
SUSE LINUX Deployment Guide
Sap on suse linux
Sap on suse linux
Master of Management science computers MMS SEM III BAMU
Master of Management science computers MMS SEM III BAMU
Master of Management science computers MMS SEM II C++ 2012
Master of Management science computers MMS SEM II C++ 2012
Master of Management science computers MMS SEM III BAMU 2012 QUESTION PAPER S...
Master of Management science computers MMS SEM III BAMU 2012 QUESTION PAPER S...
How to Create SAP MarketPlace user id
How to Create SAP MarketPlace user id
Load runner controller
Load runner controller
Dernier
Foster students' wonder and curiosity about infinity. The "mathematical concepts of the infinite can do much to engage and propel our thinking about God” Bradley & Howell, p. 56.
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
christianmathematics
Here is the slide show presentation from the Pre-Deployment Brief for HMCS Max Bernays from May 8th, 2024.
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Esquimalt MFRC
While single melodic lines are simpler and more straightforward, they still allow for creativity and emotional expression. Meanwhile, the simultaneous occurrence of multiple melodic lines can create a more intricate and complex musical structure that challenges the listener's ear and engages their attention.
Single or Multiple melodic lines structure
Single or Multiple melodic lines structure
dhanjurrannsibayan2
Importance of information and communication (ICT) in 21st century education. Challenges and issues related to ICT in education.
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
MaryamAhmad92
How Bosna and Herzegovina prepares for CBAM
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
Admir Softic
Wednesday 20 March 2024, 09:30-15:30.
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
Jisc
The pricing and discounting feature is very essential for Odoo POS. Global discount is actually a discount that will apply to the entire order. And it indicates that the discount is applied to every item in the order, regardless of how much each item costs separately. This slide will show how to manage global discounts in odoo 17 POS.
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
Celine George
An introduction on the challenges that face food testing labs.
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
Sherif Taha
SOC 101 Final Powerpoint
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
camerronhm
Here is the slideshow presentation from the HMCS Vancouver Pre-Deployment Brief on May 9th, 2024.
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
marlenawright1
https://app.box.com/s/x7vf0j7xaxl2hlczxm3ny497y4yto33i
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
Nguyen Thanh Tu Collection
Meaning of Emotional intelligence, Dimension of Emotional Intelligence- Selfawareness, self-motivation, empathy, Social Skills, Mayer &Saloveys(1997) Cognitive model of EI, Golemans (1995) model of EI B. Spiritual intelligence, Methods to learn & develop spiritual Intelligence- Meditation, Detached Observation, Reflection, Connecting, Practice
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Dr Vijay Vishwakarma
https://app.box.com/s/7hlvjxjalkrik7fb082xx3jk7xd7liz3
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
Nguyen Thanh Tu Collection
𝐋𝐞𝐬𝐬𝐨𝐧 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬: -Discern accommodations and modifications within inclusive classroom environments, distinguishing between their respective roles and applications. -Through critical analysis of hypothetical scenarios, learners will adeptly select appropriate accommodations and modifications, honing their ability to foster an inclusive learning environment for students with disabilities or unique challenges.
Understanding Accommodations and Modifications
Understanding Accommodations and Modifications
MJDuyan
Python notes for Unit 1 Avanthi PG College
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Ramakrishna Reddy Bijjam
Students will get the knowledge of the following- meaning of the pricing, its importance, objectives, methods of pricing, factors affecting the price of products, An overview of DPCO (Drug Price Control Order) and NPPA (National Pharmaceutical Pricing Authority)
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
VishalSingh1417
Wednesday 20 March 2024, 09:30-15:30.
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
Jisc
Wizards are very useful for creating a good user experience. In all businesses, interactive sessions are most beneficial. To improve the user experience, wizards in Odoo provide an interactive session. For creating wizards, we can use transient models or abstract models. This gives features of a model class except the data storing. Transient and abstract models have permanent database persistence. For them, database tables are made, and the records in such tables are kept until they are specifically erased.
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
Celine George
Brief to be read ahead of the Student Project Simulation event.
Spatium Project Simulation student brief
Spatium Project Simulation student brief
Association for Project Management
In this webinar, members learned the ABCs of keeping books for a nonprofit organization. Some of the key takeaways were: - What is accounting and how does it work? - How do you read a financial statement? - What are the three things that nonprofits are required to track? -And more
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
TechSoup
Dernier
(20)
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Single or Multiple melodic lines structure
Single or Multiple melodic lines structure
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
Understanding Accommodations and Modifications
Understanding Accommodations and Modifications
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
Spatium Project Simulation student brief
Spatium Project Simulation student brief
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
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