Cloud Computing and Data Analytics - Part 1 & 2
Tue 18 Feb 2025 10:00 AM - Wed 19 Feb 2025 2:30 PM
The Bridge, Dumfries, DG2 9AW
Description
Summary
Welcome to the dynamic world where data meets the cloud! Today, we'll explore how cloud computing and data analytics join forces to revolutionize how businesses operate.
Eligibility
You need to be a Dumfries and Galloway region resident at the age of 19 and above, the caveat to that is that you're a school leaver with no positive destination in mind.
Pre-Requisite
This course is designed for professionals interested in understanding how cloud computing empowers data analytics. Basic computer literacy and familiarity with data concepts are recommended.
Course Duration
Two Days (1000 to 1430 hours GMT) with a 30 minutes break in both sessions.
Course Objectives
- Gain an overview of cloud computing concepts and deployment models (IaaS, PaaS, SaaS).
- Explore popular cloud platforms for data analytics (AWS, Azure, GCP).
- Understand data storage solutions and big data processing services offered by cloud providers.
- Learn essential tools and techniques for cloud-based data analysis.
- Analyse the benefits and challenges of using cloud platforms for data analytics.
Outline
Day 1
Introduction to Cloud Computing (1 hour)
- What is cloud computing?
- Different cloud service models (IaaS, PaaS, SaaS)
- Benefits and limitations of using cloud computing solutions
- Security considerations and compliance requirements
Cloud Platforms for Data Analytics (1.5 hours)
- Overview of leading cloud platforms for data analytics (AWS, Azure, GCP)
- Comparing and contrasting cloud services relevant to data analytics
- Cloud storage solutions for big data (object storage, data lakes)
- Virtualization and containerization technologies for data pipelines
Hands-on Lab 1: Introduction to a Cloud Platform (30 min)
- Setting up a free tier account on a chosen cloud platform (e.g., AWS)
- Exploring the cloud platform's interface and basic services
- Learning how to create and manage virtual machines or containers
Day 2
Big Data Processing in the Cloud (1 hour)
- Challenges of processing large datasets
- Introduction to cloud-based big data processing services (e.g., AWS EMR, Azure HDInsight)
- Distributed computing frameworks for data analytics (Spark, Hadoop)
Cloud-based Data Analytics Tools (1 hour)
- Exploring data warehousing and data lake services offered by cloud providers
- Utilizing cloud-based tools for data visualization and business intelligence
- Building data pipelines for automated data processing
Hands-on Lab 2: Analysing Data on the Cloud (1 hour)
- Using a cloud platform's service (e.g., Amazon Redshift) to analyse sample data
- Performing basic data exploration and manipulation tasks
- Visualizing data insights using provided cloud tools
Cloud Security and Data Governance (1 hour)
- Security considerations for storing and processing data in the cloud
- Data privacy regulations and compliance requirements
- Implementing data governance practices in a cloud environment
Course Wrap-up (30 min)
- Q&A and Discussion on Cloud Computing and Data Analytics
- Real-world case studies of cloud-based data analytics projects
- Introduction to further learning resources for cloud data analytics expertise
- Course Feedback
Note: This course provides a high-level introduction to cloud computing with a focus on its applications in data analytics. Hands-on labs will focus on familiarizing participants with a chosen cloud platform’s basic functionality for data analysis. The course can be adjusted to delve deeper into specific cloud platforms or data analytics tools based on the audience's interests and technical background.
Location
The Bridge, Dumfries, DG2 9AW