Introduction to Big Data Architecture



Référence de la formation

KDS010

Niveau

  • Beginner
  • Intermediate

Nombre de jours

1 Day

Prix

688,50 € HT

Lieu de la formation

V: v-learning, virtual class



Pre-requis

The course requires experience and knowledge of traditional computer systems architectures

Public

This course is aimed to provide CTOs, Architects, Technical leaders and Team leaders an insight of the way data at large scale could be
used within their organizations and how commonly it is done.

Objectifs de la formation

This course takes a look at the Big Data landscape and provides basic understanding of Big Data concepts, technologies and their
applications. By providing real usage examples it allows participants to understand better how Data could be used to better serve their
businesses while introducing few implementation best practices.
This course is aimed to provide CTOs, Architects, Technical leaders and Team leaders an insight of the way data at large scale could be
used within their organizations and how commonly it is done. It should serve as an entry point to examine what is possible. The
course requires knowledge of traditional computer systems architectures.

Contenu du cours

Table 1: KDS010 - Course Contents
Chapter description
Introduction • Brief History
• Big Data / Data Science / Analytics
• Collection of data from different sources (internal/external)
• Open Source Tools
Big Data • Sample Usages
− Scaling Data
− IoT
• Volume Velocity Variety
• Structured vs. Unstructured Data
• Immutable Data
• System Requirements
• NoSQL
• Ability to access and process data
• Stream Processing
Analytics • Sample Usages
− Page Rank
− Marketing
• Decoupled Systems – ETL
• Data Lake
• Analytics vs, traditional warehouse
Data Science • Sample Usages
− Vision (OCR, face, logo, label)
− NLP (syntax analysis, sentiments, …)
• Machine Learning
− Supervised Learning
− Unsupervised Learning
− Clustering
• Deep Learning
Tools • Processing Frameworks
− Hadoop
− Spark
− Stream Processing
− Apache BEAM
• Storage Tools
• Search Engines
• Analytics
• Visualization
• Machine Learning
• Deep Learning
• Software Infrastructures
Big Data on the Cloud • Evolution
• Storage
• Analytics
• Machine Learning
• Serverless Computing
Conclusion • Sample Architectures
The End • Q&A
• Course’s Evaluation

Dates


02 Oct 2020 au 02 Nov 2020


NOTE :
ATTENTION CETTE FORMATION EST SUR MESURE
CE COURS EST REALISABLE TOUTE L'ANNEE AVEC UN MINIMUM DE 5 PARTICIPANTS


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+33 (0) 950 20 91 64


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