Learn AWS services of data engineering in 10 mins
As a data engineer working with AWS, knowing the following top AWS services is crucial to design, build, and maintain data pipelines, databases, and analytics solutions:
Amazon S3 (Simple Storage Service): • AWS S3 Tutorial (Part1) - Introduction to ...
AWS Glue: • AWS Glue tutorial for beginners| AWS Conce...
• Learn how to perform ETL & Cataloging on t...
AWS Lambda: • Introduction to AWS Lambda with hands on d...
• Simplified step-by-step process for beginn...
Amazon Redshift: • Amazon Redshift - A Beginner's Guide to Cl...
Amazon DynamoDB: • Introduction to AWS DynamoDB | Beginners g...
Amazon Kinesis: Kinesis provides real-time data streaming capabilities for data engineers to collect, process, and analyze real-time data streams from various sources.
AWS Athena: Athena is an interactive query service that allows data engineers to analyze data directly in S3 using standard SQL queries, without the need for data loading or ETL.
Amazon EMR (Elastic MapReduce): EMR is a managed big data processing service that allows data engineers to run distributed data processing frameworks like Apache Spark and Hadoop on scalable clusters.
AWS Step Functions: Step Functions help data engineers coordinate server-less workflows and data pipelines, making it easier to visualise and manage complex workflows.
VPC- • Amazon/AWS VPC (Virtual Private Cloud) Bas...
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AWS Big Data
AWS Data Engineer
AWS Data Analytics
AWS
Email: [email protected]