by Epistematica Srl – 2013

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Why and When

Big DataTraining courses to understand the Big Data world and its relations with the Semantic Web

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Epistematica training courses Why and When Big Data

Epistematica organizes training courses on Big Data with the aim of helping our customers get information and know-how on technologies and instruments to manage large volumes of data that are impossible to store and retrieve efficiently through conventional technologies.This courses are focused on the interaction between Big Data and Semantic Web Technologies.

Epistematica offers the following training courses: 1. Think Parallel – If multi-threading is not sufficient, think multi-node: 1 day2. Semantic Web – From Big Data to Big [Semantic Metadata + Data] – 3

modules: a. Linked Data – Designing, building and managing Linked Big Datasets: 2 daysb. Inference – Performing nRQL (RacerPro's expressive query language) over a multi-

node environment: 2 daysc. Vertical Applications – Designing Knowledge-driven Systems: 3 days

3. Consultancy package – Exploiting Designers, Developers and Data & Knowledge Modellers: 3 days pack

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#1 – Think Parallel If multi-threading is not sufficient, think multi-node*

One day workshop designed for executives and professionals that want to understand the Big Data world and to know when the use of multi-node environments is essential.

During the training session the following topics will be addressed:• The beginning of the Data Economy: Data as the new oil of the Digital Age• Big Data: Conventional technologies cannot mange lots of data• Semantic Web: The Giant Global Graph and its computational problems• Big Data Tech: DFS and Hadoop, NoSQL DBMS, Concurrent

Programming, etc. • Multi-node environments: AWS EC2, TI Cloud Big Data Extension, etc.• Examples of Big Data applications • Q&A

Requirements for workshop participation: None

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* Jinesh Varia, Technology Evangelist at Amazon Web Services

Why and When Big Data

#2 – Semantic Web From Big Data to Big [Semantic Metadata + Data]

This training package is designed for those who needs to understand the impacts of the Semantic Web Technologies and why Big Data technologies and methods are essential.

The following training modules are available:

1. Linked Data – Designing, building and managing Linked Big Datasets2. Inference – Performing nRQL (RacerPro's expressive query language) over

multi-node environment3. Vertical Applications – Designing Knowledge-driven Systems

The outcome of the course is to enable participants to: • Understand the Semantic Web phenomena• Understand the difference between syntactic and semantic technology• Understand the difference between SQL and automated reasoning• Master the Semantic Web Technologies • Use dedicated software tools• Think up Knowledge-driven System• Understand the relations between Semantic Web and Big Data• Use Multi-node environment for running Knowledge-driven Systems

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#2.a – Linked DataDesigning, building and managing Linked Big Datasets

This is a 2-day training module designed for professionals and IT specialists that need to gain the know-how about Semantic Web Technologies. During the course the following topics will be addressed: • Semantic Web Technologies• Web of documents and Web of data

Web 3.0 Linked Data

• Open Graph Protocol, microdata, RDF and SKOS• Editors, validators and vocabularies • SPARQL• Linked Big Datasets examples

Linked Open Data (LOD) Big Data Hubs

• Multi-node environment for hosting Linked Big Datasets• Q&A

Requirements for training participation: XML and SQL know-how.

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#2.b – InferencePerforming nRQL (RacerPro's expressive query language) over a multi-node environment

This 2-day training module is designed for IT professionals that need to gain specialized know-how about Knowledge Representation and Automated Reasoning methods and technologies.

During the course the following topics will be addressed: • OWL - Ontology Web Language• Description Logics• Knowledge Bases• Reasoners: RacerPro• Conjunctive queries: nRQL• Inference examples• Computational problems and Parallel Computing

• Q&A

Requirements for training participation: Having attended the training module 2.1 Linked Data – designing, building and managing Linked Big Datasets.

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#2.c – Vertical ApplicationsDesigning Knowledge-driven Systems

This 3-day training designed for IT professionals that need to gain a specialized know-how about designing of computing systems based on the Semantic Web Technologies.

During the course the following topics will be addressed:• Parallel Computing introduction • Concurrent Programming elements• Ontology-driven Applications • NoSQL : Graph DBMS and Triplestore Servers• Web 3.0 and semantic interoperability• Knowledge-driven Systems examples• Multi-node environment for running Knowledge-driven Systems• Q&A

Requirements for training participation: Having attended the training module 2.2 Inference – Performing nRQL over multi-node environment.

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#3 – Consultancy package Exploiting Designers, Developers and Data & Knowledge Modellers

The object of this on-site training is to make available to our customers a consultancy package of at least 3 days.

Our professionals can support Epistematica’s clients on specific topics or define solutions based on Semantic Web Technologies over multi-node environments, examining one or more real cases.

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For additional information and prices, please contact …

http://www.epistematica.com/info@epistematica.com

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