Online or onsite, instructor-led live Graph Database training courses demonstrate through hands-on practice how Graph Database uses graph theory to store, map and query relationships.
Graph Database training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Brussels onsite live Graph Database trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Brussels
Business Center Copernico Science14, Rue de la Science 14, Brussels, Belgium, 1040
Most of the European Union's Brussels-based institutions are located within its European Quarter, which is the unofficial nam...
Most of the European Union's Brussels-based institutions are located within its European Quarter, which is the unofficial name of the area corresponding to the approximate triangle between Brussels Park, Cinquantenaire Park and Leopold Park (with the European Parliament's hemicycle extending into the latter). The Commission and Council are located in the heart of this area near to the Schuman station at the Schuman roundabout on the Rue de la Loi. The European Parliament is located over the Brussels-Luxembourg station, next to Luxembourg Square.
The area, much of which was known as the Leopold Quarter for much of its history, was historically residential, an aspect which was rapidly lost as the institutions moved in, although the change from a residential area to a more office oriented one had already been underway for some time before the arrival of the European institutions. Historical and residential buildings, although still present, have been largely replaced by modern offices. These buildings were built not according to a high quality master plan or government initiative, but according to speculative private sector construction of office space, without which most buildings of the institutions would not have been built. However, due to Brussels's attempts to consolidate its position, there was large government investment in infrastructure in the quarter. Authorities are keen to stress that the previous chaotic development has ended, being replaced by planned architecture competitions and a master plan. Architect Benoit Moritz has argued that the area has been an elite enclave surrounded by poorer districts since the mid-19th century, and that the contrast today is comparable to an Indian city. However, he also said that the city has made progress over the last decade in mixing land uses, bringing in more businesses and residences, and that the institutions are more open to "interacting" with the city.
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
In this instructor-led, live training in Brussels, 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.
This instructor-led, live training in Brussels (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.
In this instructor-led, live hands-on training in Brussels, 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.
This instructor-led, live training in Brussels (online or onsite) is aimed at developers who wish to use Neo4j AuraDB graph database to build cloud applications with high availability and zero administration.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing graph database applications with Neo4j AuraDB.
Understand the features, core concepts, and architecture of Neo4j AuraDB.
Learn how to build and scale graph database applications in the cloud.
Enhance cloud security with AuraDB's pre-configured authentication and encryption features.
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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