Date(s) - 20/01/2023
9:30 am - 7:00 pm
For registered participants – please note the Change of Location. The event will now take place in the ARC Building at the University of Glasgow
The Data Engineering Bootcamp allows learning the concepts of data engineering and its real-world applications. The participant will get a practical hands-on experience of building sustainable data infrastructures that power data products, business intelligence and decision making.
The event will run from 09.30am – 5.30pm and will be followed by a drinks reception.
Contents: The BootCamp content is created and delivered by practicing specialists of data engineering from various industries and organisations.
Programme: The BootCamp is a one-day training course that will contain the following sessions covering the data engineering process, procedures and tools:
- Session #1: Acquisition, Collection and Processing of Data (Intelligent Plant)
Steve Aitken, the founder of Intelligent Plant will go through acquisition of industrial data (both the practical how, and the challenges in industry).
He will take attendees through a setup of data acquisition and , storage, control, processing and visualisation for an off grid battery system as a practical working example and give insights into industrial clients and their use cases of the Industrial App Store.
- Session #2: Engineering Value from Data, a Practitioner’s Perspective (Barclays)
One could argue that there is no value in data on its own, nor even in the insight gained from data. The value to any organisation is in the resulting business actions that are taken based on data and the insight derived from it.
This workshop will explore the Analytics and Data Science life cycle across business and technology, and how to set up successful organisational capabilities covering people, processes, and tools at an enterprise level to release value. It will explore:
- Data Curation i.e., the process of creating, organizing and maintaining data sets so they can be accessed and used by people looking for information. Covering Data Engineering, Platforms and Data Management
- Data Consumption i.e., the process of consuming data in a safe and compliant fashion to provide insight and information. The objective is to help the business understand challenges, and take action to address them. This will cover Data Analytics and Data Science activities.
- Data Driven Business Culture i.e., how to help organisations evolve to use data to gain business insight and agree next steps to gain value from it.
The purpose of this workshop is to explain the roles and describe the challenges in helping an organisation become data driven. This will help those interested in pursuing a role in Data, either in the business or in technology, gain a better understanding of how their research skills can be transferred beyond the academic research environment, to help with their future career journey.
- Session #3: Maintaining and Enhancing Data Products (NHS)
As software landscapes continue to evolve, developers are expected to take on a broader range of roles and responsibilities to ensure that data projects meet strict security, quality, reliability, and policy requirements throughout their lifecycle.
This session will introduce continuous integration and continuous delivery (CI/CD) as processes to accelerate development, reduce technical debt, improve security, and streamline auditing.
Participants will leverage a variety of open-source tools to scan, test, attack, upgrade, and audit a project as part of a CI/CD pipeline. This will provide experience of industry-standard processes while also providing a toolchain that can be reused and extended for both personal and enterprise projects.
Git, Python 3.9+, and Docker should be installed prior to this session.
Skill Development: The development of skills addressed in the sessions fits into the following sections of the Vitae RDF:
- A: Knowledge and Intellectual Abilities
- C2: Research Management
- D2: Communication and Dissemination
09:30 – 09:50 Registration and Tea and Coffee
09:50 – 10:00 Welcome, SGA Director
10:00 – 12:00 Session 1
12:00 – 13:00 Lunch and Networking
13:00 – 15:00 Session 2
15:00 – 15:15 Coffee/Tea Break
15:15 – 16:45 Session 3
16:45 – 17:15 Wrap Up / Q & As
17:15 – 19:30 Drinks Reception