Course information

AWS Associate Data Engineer Training Course Outline

Domain 1: Data Ingestion and Transformation

  • Perform Data Ingestion
  • Throughput and Latency Characteristics for AWS Services that Ingest Data
  • Data Ingestion Patterns
  • Streaming Data Ingestion
  • Batch Data Ingestion
  • Replayability of Data Ingestion Pipelines
  • Stateful and Stateless Data Transactions
  • Transform and Process Data
  • Creation of ETL Pipelines Based on Business Requirements
  • Volume, Velocity, and Variety of Data
  • Cloud Computing and Distributed Computing
  • How to Use Apache Spark to Process Data
  • Intermediate Data Staging Locations
  • Orchestrate Data Pipelines
  • How to Integrate Various AWS Services to Create ETL Pipelines
  • Event-driven Architecture
  • How to Configure AWS Services for Data Pipelines Based on Schedules or Dependencies
  • Serverless Workflows
  • Apply Programming Concepts
  • Continuous Integration and Continuous Delivery
  • SQL Queries
  • Infrastructure as Code
  • Distributed Computing
  • Data Structures and Algorithms
  • SQL Query Optimisation

Domain 2: Data Store Management

  • Choose a Data Store
  • Storage Platforms and Their Characteristics
  • Storage Services and Configurations for Specific Performance Demands
  • Data Storage Formats
  • How to Align Data Storage with Data Migration Requirements
  • How to Determine the Appropriate Storage Solution for Specific Access Patterns
  • How to Manage Locks to Prevent Access to Data
  • Understand Data Cataloguing Systems
  • How to Create a Data Catalog
  • Data Classification Based on Requirements
  • Components of Metadata and Data Catalogs
  • Manage the Lifecycle of Data
  • Appropriate Storage Solutions to Address Hot and Cold Data Requirements
  • How to Optimise the Cost of Storage Based on the Data Lifecycle
  • How to Delete Data to Meet Business and Legal Requirements
  • Data Retention Policies and Archiving Strategies
  • How to Protect Data with Appropriate Resiliency and Availability
  • Design Data Models and Schema Evolution
  • Data Modelling Concepts
  • How to Ensure Accuracy and Trustworthiness of Data by Using Data Lineage
  • Best Practices for Indexing, Partitioning Strategies, Compression, and Other Data Optimisation Techniques
  • How to Model Structured, Semi-structured, and Unstructured Data
  • Schema Evolution Techniques

Domain 3: Data Operations and Support

  • Automate Data Processing by Using AWS Services
  • How to Maintain and Troubleshoot Data Processing for Repeatable Business Outcomes
  • API Calls for Data Processing
  • Which Services Accept Scripting
  • Analyse Data by Using AWS Services
  • Tradeoffs Between Provisioned Services and Serverless Services
  • SQL Queries
  • How to Visualise Data for Analysis
  • When and How to Apply Cleansing Techniques
  • Data Aggregation, Rolling Average, Grouping, and Pivoting
  • Maintain and Monitor Data Pipelines
  • How to Log Application Data
  • Best Practices for Performance Tuning
  • How to Log Access to AWS Services
  • Amazon Macie, AWS CloudTrail, and Amazon CloudWatch
  • Ensure Data Quality
  • Data Sampling Techniques
  • How to Implement Data Skew Mechanisms
  • Data Validation
  • Data Profiling

Domain 4: Data Security and Governance

  • Apply Authentication Mechanisms
  • VPC Security Networking Concepts
  • Differences Between Managed Services and Unmanaged Services
  • Authentication Methods
  • Differences Between AWS Managed Policies and Customer Managed Policies
  • Apply Authorisation Mechanisms
  • Authorisation Methods
  • Principle of Least Privilege as It Applies to AWS Security
  • Role-based Access Control and Expected Access Patterns
  • Methods to Protect Data from Unauthorised Access Across Services
  • Ensure Data Encryption and Masking
  • Data Encryption Options Available in AWS Analytics Services
  • Differences Between Client-side Encryption and Server-side Encryption
  • Protection of Sensitive Data
  • Data Anonymisation, Masking, and Key Salting
  • Prepare Logs for Audit
  • How to Log Application Data
  • How to Log Access to AWS Services
  • Centralised AWS Logs
  • Understand Data Privacy and Governance.
  • How to Protect Personally Identifiable Information
  • Data Sovereignty

Show moredowndown

Who should attend this AWS Associate Data Engineer Training Course?

This AWS Associate Data Engineer Training Course is ideal for individuals eager to enhance their expertise in cloud-based data engineering using AWS technologies. It is particularly beneficial for:

  • Data Engineers
  • Database Administrators
  • Big Data Analysts
  • IT Professionals working with large datasets
  • Software Developers interested in data processing
  • Data Architects
  • Cloud Solution Architects

Prerequisites of AWS Associate Data Engineer Training Course:

There are no formal prerequisites to attend this AWS Associate Data Engineer Training Course.

AWS Associate Data Engineer Training Course Overview

Amazon Web Services (AWS) is a comprehensive cloud computing platform that offers a broad set of infrastructure services, such as computing power, storage options, and networking capabilities. Its importance lies in its flexibility, scalability, and cost-efficiency, which make it essential for businesses of all sizes that aim to optimise their IT operations and reduce overhead. For organisations, this AWS Certified Data Engineer – Associate Training provides a strategic advantage by enhancing their team’s ability to efficiently manage and analyse large data sets within the AWS ecosystem. For individuals, the training offers deep insights and practical skills in handling data engineering tasks, improving their proficiency and effectiveness in their current roles.

In the AWS Associate Data Engineer Training course, delegates will gain a robust understanding of data engineering principles on the AWS platform, focusing on data ingestion, transformation, storage, and security. The course is designed to equip participants with the skills to build, maintain, and optimise data systems and architectures in AWS, using the latest tools and technologies for effective data processing and analysis.

Course Objectives:

  • To perform data ingestion and establish data pipelines
  • To design and implement ETL solutions on AWS
  • To manage data storage and lifecycle efficiently
  • To ensure data security and compliance within AWS
  • To apply automation in data operations using AWS services
  • To utilise AWS tools for data analysis and visualisation

After attending this training, delegates will be able to design and implement comprehensive data engineering solutions within the AWS cloud environment. They will have the skills to handle data at every stage of its lifecycle—from ingestion through to analysis and archiving—using AWS services and best practices. Additionally, they will be proficient in setting up secure, scalable, and cost-effective data infrastructures.

Show moredowndown

What’s included in this AWS Associate Data Engineer Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • AWS Associate Data Engineer Training Certificate
  • Digital Delegate Pack

Why choose us

Our Washington D.C. venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Washington D.C is the capital of the United States and is a federal district. Washington has around 660,000 inhabitants living in the area.

Washington D.C is the home to a variety of universities such as the American University which is a private research university. The university is affiliated with the United Methodist Church. The university was established in 1893 and was approved by former President Benjamin Harrison. The university enrols around 13,000 students a year who are either undergraduate or graduate students. Students at American University have backgrounds of more than 150 nationalities. The American University is also very well known for its study abroad programs in which students can participate in a number of programs around the world.

The George Washington University is another university located in Washington D.C. The university is a private research university and is the largest institution in the District of Columbia. The George Washington University was established in 1821. The university currently has around 25,300 students in attendance with the majority of those studying postgraduate degrees. Some of the courses available at the George Washington University include; Arts, Science, Business, International Affairs, Public Health, Professional Studies, Engineering, Applied Sciences, Nursing and Medicine, Politics and Law.

Another university located in Washington D.C is the Gallaudet University which is a private university for deaf and hard of hearing students. The university has around 2,000 students in attendance. Gallaudet was established in 1864 and was originally a grammar school for deaf and blind children until it became the university. Gallaudet is famous for being the only university that primarily teaches classes specifically accommodated to deaf and hard of hearing students. The university is bilingual using American Sign Language (ASL) and English.

Georgetown University is a private research university in Washington and was established in 1789 making it the oldest catholic and Jesuit institute in the United States. There are around 18,000 students who attend the university each year and study a variety of degrees. Some notable alumni from Georgetown University include eight former heads of state, Bill Clinton, Bradley Cooper and a variety of others. 

Show moredown

Address

AdvantEdge Business Centres,

5335 Wisconsin Avenue,

Suite 650,

Washington D.C

United States

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led AWS Associate Data Engineer Training Course in Washington D.C.. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's AWS Associate Data Engineer Training Course in Washington D.C., accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

tailored_learning_experience

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

budget

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

team_building

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

monitor_progress

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

AWS Associate Data Engineer Training Course in Washington D.C. FAQs

Please arrive at the venue at 8:45am.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is [ ] day(s)
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for AWS Associate Data Engineer Training Coursein Washington D.C. starts from $4995
The Knowledge Academy is the Leading global training provider for AWS Associate Data Engineer Training Course.
Show more down

Why choose us

icon

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

icon

Many delivery methods

Flexible delivery methods are available depending on your learning style.

icon

High quality resources

Resources are included for a comprehensive learning experience.

barclays Logo
deloitte Logo
Thames Water Logo

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

santander logo
bmw Logo
Google Logo

Looking for more information on AWS Certification Training Courses?

backBack to course information

Get a custom course package

We may not have any package deals available including this course. If you enquire or give us a call on +1 7204454674 and speak to our training experts, we should be able to help you with your requirements.

cross

BIGGEST
NEW YEAR SALE!

red-starWHO WILL BE FUNDING THE COURSE?

close

close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.

close

close

Press esc to close

close close

Back to course information

Thank you for your enquiry!

One of our training experts will be in touch shortly to go overy your training requirements.

close close

Thank you for your enquiry!

One of our training experts will be in touch shortly to go over your training requirements.