AWS and Bigdata
Languages
English + Hindi + Kannada + Telugu
Batch Size
30-50
Duration
10 hours
Course Contents
Understanding AWS and Bigdata from learning to on-the-job perspectives.
- 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
- EC2
- When and why needed
- EC2 instance type, storage, etc
- S3
- Core concepts of object store
- S3-storage class, Lifecycle, replication
- S3 file handling using Boto3
- Detailed architecture, NoSQL concepts
- Glue
- Introduction to Glue
- Create a ETL Workflow in Glue
- Writing Custom Script in Glue
- Glue as Metadata for Hive
- EMR
- Introduction to EMR, Types of Nodes
- Deploying and Monitoring Spark Jobs in EMR
- AWS Cloud
- Integrated Case study
- EMR case study
Instructor Profile
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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