Graph Computing Training Courses

Graph Computing Training Courses

Lokale, door een instructeur geleide live Graph Computing trainingscursussen demonstreren door praktische oefening de verschillende technologische aanbiedingen en implementaties voor het verwerken van grafische gegevens, met als doel objecten uit de praktijk, hun kenmerken en relaties te identificeren, vervolgens deze relaties te modelleren en ze te verwerken als gegevens met behulp van grafische computerbenaderingen. Graph Computing training is beschikbaar als "live training op locatie" of "live training op afstand". Live training op locatie kan lokaal worden uitgevoerd bij de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland . Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop. NobleProg - Uw lokale trainingsaanbieder

Machine Translated

Getuigenissen

★★★★★
★★★★★

Graph Computing subcategorieën

Graph Computing Cursusoverzicht

Course Name
Duration
Overview
Course Name
Duration
Overview
28 hours
Overview
In this instructor-led, live training in Nederland, 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.
7 hours
Overview
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
Overview
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.
21 hours
Overview
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.
14 hours
Overview
This instructor-led, live training in Nederland (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.
7 hours
Overview
MediaWiki is a free and open-source wiki software. This one-day course provides participants with an introduction to Semantic MediaWiki.

Aankomende Graph Computing cursussen

Weekend Graph Computing cursus, Avond Graph Computing training, Avond Graph Computing opleiding Graph Computing boot camp, Graph Computing instructeur geleid, Weekend Graph Computing training, Avond Graph Computing cursus, Graph Computing coaching, Graph Computing instructeur, Graph Computing trainer, Graph Computing training cursus, Graph Computing lessen, Graph Computing on-site, Graph Computing privé cursus, Graph Computing een op een training, Graph Computing op locatie, Weekend Graph Computing opleiding

Cursussen met korting

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.

Een aantal van onze klanten

This site in other countries/regions