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
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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.

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Delegates will learn how to

  • 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.
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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

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Why choose QA

Dates & Locations

Need to know

Frequently asked questions

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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

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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. When you book a QA online learning course you will receive immediate access to 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.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

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.

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