Enterprise Data Systems — Complete Guide
Enterprise Data Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of AWS Cloud Tutorial on Toolliyo Academy.
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AWS Cloud Tutorial · Lesson 40 of 100
Enterprise Data Systems
Core services → Projects
Core services · 1 — AWS basics · ~6 min · AWS — Storage & Databases
What is this?
Enterprise data architecture layers operational stores, caches, warehouses, and lakes with governance, lineage, and encryption standards.
Why should you care?
AwsVerse maps OLTP to RDS, events to Kinesis, analytics to Redshift, and archives to S3 Glacier.
See it live — copy this example
Run in AWS CloudShell / local AWS CLI v2, or follow the matching steps in the AWS Console (Free Tier).
aws glue create-database \
--database-input '{"Name":"awsverse_enterprise","Description":"Curated data catalog for AwsVerse domains"}'What happened?
- Creates a Glue Data Catalog database as metadata hub.
- Register tables from RDS snapshots and S3 paths for unified discovery.
Practice next
- Draw data flow: source → lake → warehouse.
- Enable Lake Formation permissions on S3 prefixes.
- Tag datasets with DataClassification tag.
- Register one S3 prefix as external table in Glue.
- Add Macie scan on bucket with customer data.
Remember
Separate OLTP and analytics paths. Glue catalog for discovery. Encrypt and classify all datasets.
AwsVerse data mesh
Three domains publish their own datasets.
Outcome: Glue catalog plus LF tags enforce who can query PII columns.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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