Data Engineering on AWS - The complete training

Data Engineering on AWS - The complete training free download

Build your confidence and credibility as data engineer on AWS Cloud

Data Engineer is in-demand role with a low supply of skilled professionals. This training offer you a means to build your confidence and credibility as data engineer, data architect, and other data-related roles.

In this training you will develop ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.

The training will enhance your ability to complete the following tasks:

· Ingest and transform data, and orchestrate data pipelines while applying programming concepts.

· Choose an optimal data store, design data models, catalog data schemas, and manage data lifecycles.

· Operationalize, maintain, and monitor data pipelines. Analyze data and ensure data quality.

· Implement appropriate authentication, authorization, data encryption, privacy, and governance. Enable logging.

Though this training is focused towards AWS Certified Data Engineer - Associate (DEA-C01) certification but it is equally useful for learners who want to know more about Data Engineering in AWS Cloud. I have covered following four exam domains in it:

• Domain 1: Data Ingestion and Transformation

• Domain 2: Data Store Management

• Domain 3: Data Operations and Support

• Domain 4: Data Security and Governance

You will gain skills in:

Data Ingestion and Transformation

• Perform data ingestion.

• Transform and process data.

• Orchestrate data pipelines.

• Apply programming concepts.

Data Store Management

• Choose a data store.

• Understand data cataloging systems.

• Manage the lifecycle of data.

• Design data models and schema evolution.

Data Operations and Support

• Automate data processing by using AWS services.

• Analyze data by using AWS services.

• Maintain and monitor data pipelines.

• Ensure data quality.

Data Security and Governance

• Apply authentication mechanisms.

• Apply authorization mechanisms

• Ensure data encryption and masking.

• Prepare logs for audit.

• Understand data privacy and governance.