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The State of the Art of Big Data (2 days)

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Course Objectives.

The primary purpose of this training is to investigate some of the processing and analytical frameworks and/or libraries available on the market..

Course Material.

Big Data
  • Definitions
  • Gains and Obstacles
  • Actors
...
Uses Cases
  • Opportunities
  • Major Use Case
  • Machine learning
Main Concepts
  • Data types
  • Datalake
  • Big data platform
  • ROBMS
  • No SQL
  • Batch vs Stream
Architectures
  • Scalable architecture
  • Distributed filesystem / Computing
  • Technologies
  • Cloud
...
Big Data in the cloud
  • Definitions
  • Concepts
    • Distributed Storage
    • Distributed Processing
    • Server vs Serverless
    • Machine Learning
  • Cloud offering
    • Cloud Services providers
    • IaaS, PaaS, SaaS, FaaS, BaaS, IPaaS, MLaaS
  • New issues
    • Automatization CI/CD DevOps
    • DevOps Transition
    • Data Strategy
  • New opportunities
    • Impact in the market
    • Pros vs challengers
    • How is the cloud Secure?
    • Cost management
  • Data on the cloud
  • Return of experience
...
AWS Big Data
  • Introduction
  • The data processing challenge
  • Panorama
  • Solution
    • Amazon S3
    • Amazon Kinesis
    • AWS Database Migration Service
    • AWS Glue
    • Amazon Red Shift
    • Amazon Aurora
    • Amazon DynamoDB
    • Amazon ElastiCache
    • MemCached
    • Redis
    • Amazon Elastic Service
    • Amazon CMR
    • Amazon Athena
    • AWS Lambda
    • Amazon ML
    • AMazon QuickSight
    • Amazon EC2
  • Architecture and AWS
    • Batch Analysis
    • Interactive/ On Demand Analysis
    • Real-Time Analysis
    • Lambda Architecture
...

Public.

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