Nalanda IT
Nalanda IT
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Course Content
AWS Overview
0/6
Introduction to AWS, Usage, core concepts such as elasticity, scalability, virtualization
00:00
IaaS, PaaS, SaaS
01:00
VPC, Subnet, Security Group, NACL, NAT Instance
02:15
Overview of DW and Data Lake related services, such as, EMR, Glue, Redshift, Athena
02:15
Region, Availability Zone, Edge Locations
IAM user, roles, policies
EC2
0/2
When and why needed
01:03
EC2 instance type, storage etc
01:00
S3
0/3
Core concepts of object store
01:03
S3-storage class, Lifecycle, replication
01:00
S3 file handling using Boto3
02:15
DynamoDB
0/4
Detailed architecture, NoSQL concepts
01:03
DynamoDB data structures, data modelling/design, organization, Key etc
01:00
CRUD, Query, Scan. Detailed level
Case Study on a sample schema
Lambda
0/4
Handling S3 events
Handling DynamoDB events
Handling SQS, SNS events along with DynamoDB, S3 events
Parsing S3 source files into different format
Redshift
0/4
Redshift Architecture, Building blocks
Redshift data structure, Key, Compression
Populating Redshift, Copying data from S3
Connecting, Querying and Consuming data using Python
Glue
0/4
Introduction to Glue
Create a ETL Workflow in Glue
Writing Custom Script in Glue
Glue as Metadata for Hive
EMR
0/4
Introduction to EMR, Types of Nodes
Deploying and Monitoring Spark Jobs in EMR.
Auto scaling
Boot Strap Actions
AWS Cloud
0/1
Expert Connect – AWS Cloud
Kinesis/MSK
0/2
Deploying and Monitoring Kafka Jobs in Kinesis/MSK
Kinesis Streaming and Kinesis Firehose
Integrated Case study
0/1
EMR & MSK combined case study
Amazon web services (AWS) + Big Data
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