Batch & Stream Processing using AWS Serverless Technologies
What you'll learn
AWS Glue Batch and Stream Processing
AWS Kinesis to ingest streaming data into AWS Ecosystem
Role of AWS Lambda to process data in a pipeline
Apache Spark
AWS Glue Workflow to Orchestrate Data Pipeline in Glue
Requirements
AWS Basics like EC2, IAM, VPC and S3
Description
Data Engineering! It is a big word in today's tech world. Every organization is running behind data engineers and as per analysis one of the jobs that would be untouched by AI wave. It is also one of the highest paying jobs in tech world. There are multiple technologies, frameworks, tools that facilitate Data Engineering stack. Spark, Kafka, Lakehouse, Data Warehouse etc. are some of those.All Cloud Service Providers have complete Data Stack up their sleeve. AWS, Azure, GCP provide multiple platforms to work on data stack. One interesting stack is Serverless, a term coined by AWS with the launch of AWS Lambda.This course focuses specifically on Serverless Data Processing, which has gained a lot of momentum over the years. AWS is the top contender in the serverless world that includes batch & stream processing. This course entails the following topics:Serverless Batch Processing Part 1 - AWS GlueStreaming Ingestion - Kinesis Data Streams, Kinesis FirehoseServerless Stream Processing Part 1 - AWS Glue & KinesisServerless Batch Processing Part 2 - AWS LambdaServerless Stream Processing Part 2 - Lambda & KinesisMake sure to complete the practice exercises as they will give you hands-on experience. Also, request candidates to follow along with all the hands-on labs.
Who this course is for
Data Architects, Data Engineers who want to learn AWS Data Stack
Solution Architects who want to have AWS Data Flavour
Database Administrators (DBAs) who want to make a career shift into AWS Data

https://rapidgator.net/file/baffd855e3d49b1a9c6c2fc71d1611e8/Serverless_Data_Engineering_-_AWS_Glue,_Kinesis,_Lambda.rar.html,_Kinesis,_Lambda.rar.html