Des cours de formation en Graph Computing locaux, animés par des instructeurs, présentent par le biais de travaux pratiques les différentes offres technologiques et implémentations technologiques de traitement des données de graphe, dans le but d'identifier les objets du monde réel, leurs caractéristiques et leurs relations, puis de modéliser ces relations et de les traiter comme suit: données en utilisant des approches de calcul graphique. Graph Computing formation Graph Computing est disponible en tant que "formation en direct sur site" ou "formation en direct à distance". La formation en direct sur site peut être effectuée localement chez le client à Belgique ou dans des centres de formation d'entreprise NobleProg dans Belgique . La formation à distance en direct est réalisée au moyen d'un poste de travail distant et interactif. NobleProg - Votre prestataire de formation local
Machine Translated
Nos Clients témoignent
Il était interactif.
Suraj
Formation: Semantic Web Overview
Machine Translated
Très belle formation
Maira Frisch - Novartis Pharma AG
Formation: SPARQL
Machine Translated
Il était interactif.
Suraj
Formation: Semantic Web Overview
Machine Translated
Sous-catégories Graph Computing
Plans de cours Graph Computing
Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
28 hours
Aperçu
In this instructor-led, live training in Belgique, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.
By the end of this training, participants will be able to:
- Understand how graph data is persisted and traversed.
- Select the best framework for a given task (from graph databases to batch processing frameworks.)
- Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
- View real-world big data problems in terms of graphs, processes and traversals.
By the end of this training, participants will be able to:
- Understand how graph data is persisted and traversed.
- Select the best framework for a given task (from graph databases to batch processing frameworks.)
- Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
- View real-world big data problems in terms of graphs, processes and traversals.
7 hours
Aperçu
The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
21 hours
Aperçu
Apache Jena is an open source Java framework for building Semantic Web and Linked Data applications.
In this instructor-led, live training, participants will learn how to use Apache Jena to build and deploy a Semantic Web Application.
By the end of this training, participants will be able to:
- Install and configure Apache Jena
- Convert and store data in RDF format
- Query RDF data using SPARQL
- Test and deploy a semantic web application
Audience
- Developers
- Data Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Apache Jena to build and deploy a Semantic Web Application.
By the end of this training, participants will be able to:
- Install and configure Apache Jena
- Convert and store data in RDF format
- Query RDF data using SPARQL
- Test and deploy a semantic web application
Audience
- Developers
- Data Engineers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
21 hours
Aperçu
Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
- Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
- Create, test and deploy a sample application to query complex data in a Blazegraph data store
- Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
- Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
- Create, test and deploy a sample application to query complex data in a Blazegraph data store
- Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 hours
Aperçu
This instructor-led, live training in Belgique (online or onsite) is aimed at technical persons who wish to query RDF data stored in a Semantic Web database.
By the end of this training, participants will be able to:
- Understand the difference between semantic web data and relational data.
- Query public datasets based on Semantic Web standards.
- Model data for querying with SPARQL.
- Transition a website's data to semantic web linked data.
- Run SPARQL queries from within an existing application.
By the end of this training, participants will be able to:
- Understand the difference between semantic web data and relational data.
- Query public datasets based on Semantic Web standards.
- Model data for querying with SPARQL.
- Transition a website's data to semantic web linked data.
- Run SPARQL queries from within an existing application.
7 hours
Aperçu
MediaWiki is a free and open-source wiki software. This one-day course provides participants with an introduction to Semantic MediaWiki.
Prochains cours Graph Computing
30-08-2021 09:30
28 heures
30-08-2021 09:30
28 heures
31-08-2021 09:30
7 heures
16-09-2021 09:30
7 heures
23-09-2021 09:30
14 heures
Other countries
Conseil
Weekend Graph Computing cours, Soir Graph Computing formation, Graph Computing stage d’entraînement, Graph Computing formateur à distance, Graph Computing formateur en ligne, Graph Computing formateur Online, Graph Computing cours en ligne, Graph Computing cours à distance, Graph Computing professeur à distance, Graph Computing visioconférence, Graph Computing stage d’entraînement intensif, Graph Computing formation accélérée, Graph Computing formation intensive, Formation inter Graph Computing, Formation intra Graph Computing, Formation intra Enteprise Graph Computing, Formation inter Entreprise Graph Computing, Weekend Graph Computing formation, Soir Graph Computing cours, Graph Computing coaching, Graph Computing entraînement, Graph Computing préparation, Graph Computing instructeur, Graph Computing professeur, Graph Computing formateur, Graph Computing stage de formation, Graph Computing cours, Graph Computing sur place, Graph Computing formations privées, Graph Computing formation privée, Graph Computing cours particulier, Graph Computing cours particuliers
.png "european central bank (ecb)")
.png "new york stock exchange (nyse)")
_ireland.gif "environmental protection agency (epa) ireland")
.jpg "european southern observatory (eso)")
