Data Engineering track

Cloud Data Services

AWS S3/Glue/Athena/Redshift/EMR/Kinesis and GCP GCS/BigQuery/Dataflow/PubSub.

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Concepts

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1

Cloud Object Storage

Concept · Hands-on lab included

2

The Data Cloud and Managed Platforms

Concept · Hands-on lab included

3

Warehouses on the Cloud

Concept · Hands-on lab included

4

Serverless Querying: Athena, BigQuery and Lakes

Concept · Hands-on lab included

5

Data Lakes on the Cloud (S3 + Glue)

Concept · Hands-on lab included

6

Managed ETL Services: Glue, Dataflow, Data Factory

Concept · Hands-on lab included

7

Streaming as a Managed Service

Concept · Hands-on lab included

8

Migration and Modernization

Concept · Hands-on lab included

9

Data Sharing Across Clouds

Concept · Hands-on lab included

10

Multi-Cloud and Portability

Concept · Hands-on lab included

11

Open Table Formats

Concept · Hands-on lab included

12

Cost Management and FinOps for Data

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

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