그래프 컴퓨팅 교육 | Graph Computing 교육

그래프 컴퓨팅 교육

현지 강사 주도형 라이브 Graph Computing 교육 과정은 실제 객체, 특성 및 관계를 식별하고 이러한 관계를 모델링하여 그래프 컴퓨팅 방식을 사용한 데이터. Graph Computing 교육은 "현장 실시간 교육"또는 "원격 실시간 교육"으로 제공됩니다. 현장 실시간 교육은 고객 구내에서 로컬로 수행 할 수 있습니다. 대한민국 또는 NobleProg 기업 교육 센터의 대한민국 . 원격 라이브 교육은 대화식 원격 데스크톱을 통해 수행됩니다. NobleProg-현지 교육 제공 업체

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그래프 컴퓨팅서브 카테고리

그래프 컴퓨팅코스 개요

코스 이름
Duration
Overview
코스 이름
Duration
Overview
28 시간
Overview
In this instructor-led, live training in 대한민국, 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.
7 시간
Overview
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.
21 시간
Overview
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.
21 시간
Overview
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.
14 시간
Overview
This instructor-led, live training in 대한민국 (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.
7 시간
Overview
MediaWiki is a free and open-source wiki software. This one-day course provides participants with an introduction to Semantic MediaWiki.

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향후그래프 컴퓨팅 코스

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