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AWS Certified Data Engineer - Associate
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Course Description
Overview
AWS Certified Data Engineer - Associate validates skills and knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.The exam also validates a candidate's 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.
Objectives
Audience
Prerequisites
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The target candidate should have the following general IT knowledge:
- Setup and maintenance of extract, transform, and load (ETL) pipelines from ingestion to destination
- Application of high-level but language-agnostic programming concepts as required by the pipeline
- How to use Git commands for source control
- How to use data lakes to store data
- General concepts for networking, storage, and compute
- How to use AWS services to accomplish the tasks listed in the Introduction section of this exam guide
- An understanding of the AWS services for encryption, governance, protection, and logging of all data that is part of data pipelines
- The ability to compare AWS services to understand the cost, performance, and functional differences between services
- How to structure SQL queries and how to run SQL queries on AWS services
- An understanding of how to analyze data, verify data quality, and ensure data consistency by using AWS services
Topics
- Task 1.1: Perform data ingestion
- Task 1.2: Transform and process data
- Task 1.3: Orchestrate data pipelines
- Task 1.4: Apply programming concepts
- Task 2.1: Choose a data store
- Task 2.2: Understand data cataloging systems
- Task 2.3: Manage the lifecycle of data
- Task 2.4: Design data models and schema evolution
- Task 3.1: Automate data processing by using AWS services
- Task 3.2: Analyze data by using AWS services
- Task 3.3: Maintain and monitor data pipelines
- Task 3.4: Ensure data quality
- Task 4.1: Apply authentication mechanisms
- Task 4.2: Apply authorization mechanisms
- Task 4.3: Ensure data encryption and masking
- Task 4.4: Prepare logs for audit
- Task 4.5: Understand data privacy and governance
Related Courses
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Self-Paced Training Terms & Conditions
THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
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You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
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