AWS Big Data Analytics

Duration: 15 Weeks

Audience: Business Analysts, IT Architects, Technical Managers and Developers

Suggested Prerequisites: Big Data Hadoop, Spark & Kafka

Topics:

Outline of Course TRAINING:

Week 1

  • Introduction
  • Data Engineering & Data Science
  • The World of AWS Cloud

Week 2

  • The World of AWS Cloud
  • Walkthrough of AWS Project

Week 3 – Domain 1 – Collection, Domain 2 – Storage

  • S3, Glacier and Snowball

Week 4 – Domain 1 – Collection, Domain 2 – Storage, Ingestion Zone – Streaming

  • Kinesis Data Streams
  • Kinesis Analytics
  • Lambda & SES

Week 5 – Domain 3 – Processing, Domain 4 – Analysis, Domain 6 – Security

Analysis Zone, Monitoring Zone

  • Kinesis Data Firehose
  • Kinesis Agent
  • Elasticsearch

Week 6 – Domain 1 – Collection, Domain 3 – Processing

Ingestion Zone – Database

  • DMS
  • Glue

Week 7 – Domain 1 – Collection, Domain 3 – Processing

Ingestion Zone – Files

  • EMR

Week 8 – -Domain 3 – Processing

Curation Zone

  • AWS Glue

Week 9 – Domain 3 – Processing

Transformation Zone

  • Sagemaker
  • Glue

Week 10 – Domain 1 – Collection, Domain 3 – Processing

Ingestion Zone – IoT

  • AWS IoT Core
  • AWS IoT Button

Week 11 – Domain 1 – Collection, Domain 4 – Analysis

Ingestion Zone – DynamoDB

  • DynamoDB

Week 12 – Domain 4 – Analysis

Data Science Zone

  • Sagemaker
  • Jupyter Notebooks

Machine Learning Zone

  • Machine Learning

Week 13 – Domain 4 – Analysis

Artificial Intelligence Zone

  • Amazon Rekognition
  • Amazon Polly

Week 14 – Domain 4 – Analysis

Discovery Zone

  • Athena
  • Redshift

Week 15 – Domain 5 – Visualization

Discovery Zone

  • Quicksight
  • Project Submission
  • Final Test