Data Engineering on AWS

Price
$2,025.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

This comprehensive 3-day instructor-led training provides a deep dive into data engineering practices and solutions on Amazon Web Services (AWS). Participants will learn how to design, build, optimize, and secure data engineering solutions by using AWS services. Topics range from foundational concepts to hands-on implementation of data lakes, data warehouses, and both batch and streaming data pipelines. This course equips data professionals with the skills needed to architect and manage modern data solutions at scale.

Course Objectives

Design and implement scalable data lakes and data warehouses on AWS.
Build, optimize, and secure batch data processing pipelines.
Develop and manage streaming data solutions.
Apply best practices for data governance and security.
Automate data engineering workflows by using AWS services.
Implement access control and security measures for data solutions.

Who Should Attend?

Data engineers
Solutions architects
DevOps engineers
IT professionals
Data analysts looking to expand into data engineering

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

Basic understanding of AWS services
Familiarity with database concepts
Basic programming or scripting knowledge
Understanding of data processing fundamentals

Agenda

Module 1: Data Engineering Roles and Key Concepts

The role of a data engineer
Data discovery for a data analytics system
AWS services for data workflows
Continuous integration and continuous delivery
Networking considerations

Module 2: Designing and Implementing Data Lakes

Data lake introduction
Data lake storage
Ingest data
Catalog data
Transform data
Serve data for consumption

Module 3: Optimizing and Securing Data Lake Solutions

Optimizing performance
Security using Lake Formation
Setting permissions with Lake Formation
Security and governance
Troubleshooting

Module 4: Data Warehouse Architecture and Design Principles

Introduction to data warehouses
Amazon Redshift overview
Ingesting data into Amazon Redshift
Processing data
Serving data for consumption

Module 5: Performance Optimization Techniques for Data Warehouses

Monitoring and optimization options
Data optimization in Amazon Redshift
Query optimization in Amazon Redshift
Data orchestration

Module 6: Security and Access Control for Data Warehouses

Authentication and access control in Amazon Redshift
Data security in Amazon Redshift

Module 7: Designing Batch Data Pipelines

Introduction to batch data pipelines
Designing a batch data pipeline
Ingesting batch data

Module 8: Implementing Strategies for Batch Data Pipelines

Processing and transforming data
Transforming data formats
Integrating your data
Cataloging data
Serving data for consumption

Module 9: Optimizing, Orchestrating, and Securing Batch Data Pipelines

Optimizing the batch data pipeline
Orchestrating the batch data pipeline
Securing the batch data pipeline

Module 10: Streaming Data Architecture Patterns

Introduction to streaming data pipelines
Ingesting data from stream sources
Storing streaming data
Processing streaming data
Analyzing streaming data

Module 11: Optimizing and Securing Streaming Solutions

Optimizing a streaming data solution
Securing a streaming data pipeline

Module 12: Compliance and Cost Optimization

Compliance considerations
Cost optimization tools

Module 13: Course Wrap-Up

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

CourseID: 3606320E

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