Quick Guide to Becoming AWS Data Engineer

📈 AWS Services for Data Engineers:

Certainly, here's the information presented in a more concise list format:

1. Simple Storage Service (S3):

   • Object storage center for storing various types of data for future processing.

2. AWS Glue:

   • Serverless service for writing ETL jobs in Python/Spark without managing servers.

3. Amazon Redshift:

   • Fully managed data warehouse service for analyzing data using SQL and BI tools.

4. Amazon EMR (Elastic MapReduce):

   • Managed big data platform for processing large datasets using open-source frameworks like Hadoop/Spark.

5. AWS Lambda:

   • Serverless computing service for running quick scripts on specific triggers/events.

6. Amazon Athena:

   • Ad-hoc query interface for running SQL queries directly on files stored in S3 buckets.

7. Kinesis:

   • Real-time data processing service for analyzing and storing streaming data.

8. DMS (Data Migration Service):

   • Simplifies data migration tasks, making data management easier.

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