Les formations Graph Database

Les formations Graph Database

Les cours de formation sur les bases de données graphiques en temps réel, animés par un instructeur, démontrent à travers la pratique comment la base de données graphique utilise la théorie des graphes pour stocker, cartographier et interroger les relations La formation de base de données de graphe est disponible en tant que «formation en direct sur site» ou «formation en ligne à distance» La formation en direct sur site peut être effectuée localement dans les locaux du client France ou dans les centres de formation d'entreprise NobleProg à France La formation en ligne à distance est réalisée au moyen d'un ordinateur de bureau interactif et distant NobleProg Votre fournisseur de formation local.

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Sous-catégories Graph Database

Plans de cours Graph Database

Nom du Cours
Durée
Aperçu
Nom du Cours
Durée
Aperçu
7 hours
Aperçu
FlockDB is an open source distributed, fault-tolerant graph database for managing wide but shallow network graphs. It was initially used by Twitter to store relationships among users.

In this instructor-led, live training, participants will learn how to set up and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc.

By the end of this training, participants will be able to:

- Install and configure FlockDB
- Understand the unique features of FlockDB, relative to other graph databases such Neo4j
- Use FlockDB to maintain a large graph dataset
- Use FlockDB together with MySQL to provide provide distributed storage capabilities
- Query, create and update extremely fast graph edges
- Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments

Audience

- Developers
- Database engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
Aperçu
In this instructor-led, live training in France, 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.
14 hours
Aperçu
This instructor-led, live training in France (online or onsite) is aimed at engineers who wish to use JanusGraph to process very large graphs that require abnormal storage and computational capacity.

By the end of this training, participants will be able to:

- Install and configure JanusGraph.
- Integrate JanusGraph with multiple backend storage systems (Cassandra, HBase, etc.) and multiple indexing software (Elasticsearch, Solr, etc.).
- Configure multiples machines into a cluster for use by JanusGraph.
- Query the database using the Gremlin query language.
- Process graph data at scale, beyond what a single machine can provide.
- Support thousands of concurrent users traversing graph data in real time.
- Query graph data for analysis.
21 hours
Aperçu
In this instructor-led, live hands-on training in France, we will set up a live project and put into practice the skills to model, manage and access your data using neo4j. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure.
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.

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