Online or onsite, instructor-led live Graph Computing training courses demonstrate through hands-on practice the various technology offerings and implementations for processing graph data, with the aim to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using graph computing approaches.
Graph Computing 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. Onsite live Graph Computing trainings in Guadalajara can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Guadalajara - Country Club Financial
Av. Prolongacion Americas 1600, Guadalajara, mexico, 44610
Situated in the prestigious Prolongacion Americas avenue and recognized as the financial district of the city, this Business centre represents a perfect corporate image in one of the most important commercial domiciles in the city. This Business centre has access to Hotels, restaurants and view to the golf course.
Guadalajara - Americas 1586
Avenue of the Americas #1586 , Guadalajara , Mexico, 44610
Spark innovative ideas in fully equipped meeting rooms and collaborate with like-minded professionals in light-filled coworking spaces. Then, ease your commute home with onsite parking, bike storage, and a choice of nearby bus and tram services, taking Achieve business excellence at Americas 1586.
Elevate your ambitions with exceptional office space located in Guadalajara’s vibrant financial hub. Work efficiently in modern, light-filled interiors behind the building’s striking mirrored-glass façade, and enjoy stunning views of the verdant fairways of Guadalajara Country Club.
Fuel innovation in fully equipped meeting rooms and connect with driven professionals in bright, collaborative coworking areas. Enjoy a hassle-free commute with convenient on-site parking, bike storage, and easy access to nearby bus and tram routes.the stress out of your journey.
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 in Guadalajara, 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.
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.
This instructor-led, live training in Guadalajara (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.
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