AWS and Bigdata

Languages
English + Hindi + Kannada + Telugu
Batch Size
30-50
Duration
10 hours
Investment
$$$$$
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Course Contents

Understanding AWS and Bigdata from learning to on-the-job perspectives.

  1. AWS Overview
    • Introduction to AWS, Usage, core concepts such as elasticity, scalability, virtualization
    • IaaS, PaaS, SaaS
    • VPC, Subnet, Security Group, NACL, NAT Instance
    • Overview of DW and Data Lake related services, such as, EMR, Glue, Redshift, Athena
    • Region, Availability Zone, Edge Locations
    • IAM user, roles, policies
  2. EC2
    • When and why needed
    • EC2 instance type, storage, etc
  3. S3
    • Core concepts of object store
    • S3-storage class, Lifecycle, replication
    • S3 file handling using Boto3
  4. Detailed architecture, NoSQL concepts
  5. Glue
    • Introduction to Glue
    • Create a ETL Workflow in Glue
    • Writing Custom Script in Glue
    • Glue as Metadata for Hive
  6. EMR
    • Introduction to EMR, Types of Nodes
    • Deploying and Monitoring Spark Jobs in EMR
  7. AWS Cloud
  8. Integrated Case study
    • EMR  case study

Instructor Profile

instructor_image

18+ years of professional IT corporate training experience.

This course includes:

  • 100% Online Sessions
  • Instructor led
  • Customizable Syllabus
  • Customizable Schedule
  • Certificate of Completion
  • Training Recordings
  • Training Resources
  • Learner Assessment
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