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Fundamentals of Data Engineering
- Categories:
- Data and Office Applications
- Level:
- Fundamentals
- Code:
- QAFDE
- Exam:
- Not Applicable
Overview
This one-day course shows the history, skills required, theory and technologies behind the Data Engineering role. This course is an overview of the role and shows the importance of the data engineer to a successful data team. The course will consist of examining the following key areas:
- Data roles
- Data engineering walkthrough
- Data types and groupings
- Data warehouse
- ELT, ETL and pipelines
- Modern data warehouse 2.0
- Architecture and compliance Documenting design
Prerequisites
This is a fundamental 1-day course, an interest in Data Engineering or the role of a data engineer would be useful, but not essential.
Target Audience
For those who manage a data team and would like to gain a better understanding of the data engineer role, or are looking to work with or become a data engineer. This course is an overview of the role and shows the importance of the data engineer to a successful data team.
What's included
Select your preferred way to learn:
What is Virtual?
Live, instructor-led training delivered online
Interactive online sessions led by subject matter experts. Learners join live classes, take part in discussions, and complete practical exercises from any location, making it easy to fit collaborative learning into busy schedules.
If you prefer to connect to a course that is taking place in a physical classroom, you can choose our Remote Access option. .
Best for: Teams and individuals who want expert guidance, real-time collaboration, and flexible access.
What's included?
1 Day instructor led course
6 month free access to QA learning platform
Free 6-Month Access: Learning Platform Discovery plan
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What is bespoke training?
Custom instructor-led training designed by QA to fit your needs
Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.
Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.
Find out more about the course:
Learning outcomes
- Introduction to data engineering core concepts listing the skills required and the personality to perform the role.
- An end to end walkthrough of the Data Engineering tasks and terms.
- Reviewing the data pipelines with no or little code to the perform ETL or ELT, then expanding the breadth by adding SQL data queries and Python data manipulation
- Recognising the data architecture choices presented to the data engineer and modelling the data to suit both the data store and data retrieval needs.
- Reviewing the concepts and technologies in a DW 2.0 environment including data lakes and lakehouses.
- Covering the disposal of data and the possible approaches to perform this.
- Documenting the data engineering performed, holding metadata and aligning data governance within the organisation.
Course outline
The introduction covers gaining a better understanding of the data engineer role, or are looking to work with or become a data engineer. This course is an overview of the role and shows the importance of the data engineer to a successful data team.
The main subjects covered are:
- Data roles
- Data Engineering Walkthrough
- The data engineer
- Data types and groupings
- Relational data warehouse
- Data movement: ETL, ELT and pipelines
- Modern data warehouse
- Data engineering steps
- Data disposal and GDPR
Good to know
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What our customers are saying
“I would highly recommend the trainer; he was very knowledgeable and was very enthusiastic. His training style suited me really well and every piece of information given was backed up with 'real world' examples that solidified the information given. He also had a great sense of humour.”
Julie
Querying Microsoft SQL Server
“It’s been great to see significant improvements with how we manage resources including costs and in-house solutions from fundamental data skills training.”
Aravinth Pandian
Head of Business Intelligence, East London NHS Foundation Trust
Portfolio Director
David Pool
Data & AI Development Director
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How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
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When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.