Graph Computing Schulungen

Graph Computing Schulungen

Lokale, von Lehrern geleitete Live- Graph Computing Schulungen demonstrieren anhand von praktischen Übungen die verschiedenen Technologieangebote und -implementierungen für die Verarbeitung von Graphendaten mit dem Ziel, reale Objekte, ihre Merkmale und Beziehungen zu identifizieren, diese Beziehungen zu modellieren und als solche zu verarbeiten Daten unter Verwendung von Graph-Computing-Ansätzen. Graph Computing Training ist als "Onsite-Live-Training" oder "Remote-Live-Training" verfügbar. Vor-Ort-Live-Schulungen können vor Ort beim Kunden in Berlin durchgeführt werden Österreich oder in NobleProg Firmenschulungszentren in Österreich . Das Remote-Live-Training erfolgt über einen interaktiven Remote-Desktop. NobleProg - Ihr lokaler Schulungsanbieter

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Erfahrungsberichte

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Graph Computing Unterkategorien

Graph Computing Kurspläne

Name des Kurses
Dauer
Überblick
Name des Kurses
Dauer
Überblick
28 Stunden
Überblick
In this instructor-led, live training in Österreich, 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 Stunden
Überblick
Das Semantic Web ist eine kollaborative Bewegung, die vom World Wide Web Consortium (W3C) geleitet wird und gemeinsame Formate für Daten im World Wide Web fördert. Das Semantic Web bietet ein allgemeines Framework, das die gemeinsame Nutzung und Wiederverwendung von Daten über die Grenzen von Anwendungen, Unternehmen und Communities hinweg ermöglicht.
21 Stunden
Überblick
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 Stunden
Überblick
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 Stunden
Überblick
This instructor-led, live training in Österreich (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 Stunden
Überblick
MediaWiki ist eine freie und Open-Source-Wiki-Software. Dieser eintägige Kurs bietet den Teilnehmern eine Einführung in Semantic MediaWiki.

Zukünftige Graph Computing Kurse

Graph Computing Schulung, Graph Computing boot camp, Graph Computing Abendkurse, Graph Computing Wochenendkurse, Graph Computing Kurs, Graph Computing Training, Graph Computing Seminar, Graph Computing Seminare, Graph Computing Privatkurs, Graph Computing Coaching, Graph Computing Lehrer

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EINIGE UNSERER KUNDEN

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We are looking for a good mixture of IT and soft skills in Austria!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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