About this course
An introduction to big data concepts, technologies and management. Delegates cover the characteristics of big data, structured and unstructured data, distributed storage and processing with Hadoop and Spark, NoSQL databases, data lakes and warehouses, cloud platforms, and data quality and governance. The course closes with how organisations scope and run a big data initiative.
Why this course
Banks, utilities, revenue authorities and telecoms operators now hold transaction, sensor and customer data at a scale that ordinary tools cannot handle. Without a shared vocabulary, business and IT teams struggle to plan projects, estimate costs and protect data. This foundation gives both sides the concepts needed to make sound decisions on big data investments.
What delegates will be able to do
By the end of the course, delegates will be able to
- Describe the volume, velocity and variety characteristics of big data with workplace examples
- Compare data warehouses, data lakes and NoSQL databases for a given business need
- Explain how Hadoop and Spark distribute storage and processing across clusters
- Identify data quality, privacy and governance controls needed for large datasets
- Outline the scope, roles and resources for a big data project in their organisation
Who should attend
IT staff, data analysts, statisticians, project managers and business managers who are starting to work with large datasets or planning data platforms. Basic computer literacy is assumed, but no programming experience is required.
How it is delivered
Facilitator-led sessions with architecture walkthroughs, short hands-on demonstrations on a cloud platform, and group exercises scoping a big data initiative for a realistic organisation. It is available as a public course, in-house at your premises, or as live virtual sessions. Duration and dates are confirmed in your quote, and in-house groups can have the examples and exercises fitted to their organisation.