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Why and When Big Data
 

Why and When Big Data

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Why and When Big Data

Why and When Big Data
Training courses to understand the Big Data world and its relations with the Semantic Web

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    Why and When Big Data Why and When Big Data Presentation Transcript

    • by Epistematica Srl – 2013epistematicaTraining courses tounderstand the Big Dataworld and its relations withthe Semantic WebImagebyinfosthetics
    • Epistematica training coursesWhy and When Big DataEpistematica organizes training courses on Big Data with the aim of helping ourcustomers get information and know-how on technologies and instruments to managelarge volumes of data that are impossible to store and retrieve efficiently throughconventional technologies.This courses are focused on the interaction between Big Data and Semantic WebTechnologies.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 (RacerPros expressive query language) over a multi-nodeenvironment: 2 daysc. Vertical Applications – Designing Knowledge-driven Systems: 3 days3. Consultancy package – Exploiting Designers, Developers and Data & KnowledgeModellers: 3 days pack#2Why and When Big Dataepistematica
    • #1 – Think ParallelIf multi-threading is not sufficient, think multi-node*One day workshop designed for executives and professionals that want to understand theBig 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&ARequirements for workshop participation: Noneepistematica #3* Jinesh Varia, Technology Evangelist at Amazon Web ServicesWhy and When Big Data
    • #2 – Semantic WebFrom Big Data to Big [Semantic Metadata + Data]This training package is designed for those who needs to understand the impacts of theSemantic 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 (RacerPros expressive query language) over multi-nodeenvironment3. Vertical Applications – Designing Knowledge-driven SystemsThe 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 Systemsepistematica #4Why and When Big Data
    • #2.a – Linked DataDesigning, building and managing Linked Big DatasetsThis is a 2-day training module designed for professionals and IT specialists that need togain 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&ARequirements for training participation: XML and SQL know-how.epistematica #5Why and When Big Data
    • #2.b – InferencePerforming nRQL (RacerPros expressive query language) over a multi-nodeenvironmentThis 2-day training module is designed for IT professionals that need to gain specializedknow-how about Knowledge Representation and Automated Reasoning methods andtechnologies.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&ARequirements for training participation: Having attended the training module 2.1 LinkedData – designing, building and managing Linked Big Datasets.epistematica #6Why and When Big Data
    • #2.c – Vertical ApplicationsDesigning Knowledge-driven SystemsThis 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&ARequirements for training participation: Having attended the training module 2.2Inference – Performing nRQL over multi-node environment.epistematica #7Why and When Big Data
    • #3 – Consultancy packageExploiting Designers, Developers and Data & Knowledge ModellersThe object of this on-site training is to make available to our customers a consultancypackage of at least 3 days.Our professionals can support Epistematica’s clients on specific topics or define solutionsbased on Semantic Web Technologies over multi-node environments, examining one ormore real cases.epistematica #8Why and When Big Data
    • For additional information and prices,please contact …http://www.epistematica.com/info@epistematica.comepistematica #9Why and When Big Dataepistematica