This course can be delivered to your organisation as part of our bespoke Corporate Training Solutions, at your own time and your own convenience. Contact us on kla@kpmg.com.mt or call us on +356 2563 6363 or on +356 9963 6363 for more information on how we can take care of your organisation’s training needs.

Course Description:

Big Data is one of the tech buzzwords of the past decade. The impact that the big data revolution is having on organisations is undeniable, however, this tends to be contrasted by poor communication of its true meaning and potential. This session aims to help attendees to better understand the enigma that is big data and how it can be put to use to derive value in organisations of any size as follows:

• What is big data (Veracity, Volume, Velocity)
• Real-Time Data
• Distributed Computing
• Visualisation

The session will be delivered with a non-technical audience in mind, showing real-life examples of the technologies used in practice, and may include one or more of Kafka, Databricks, Power BI.

Target Audience: This course is designed for employees, executives or leaders of SMEs as part of the Workforce, ICT Professionals and Practitioners.

Learning Outcomes:

By the end of the session participants shall have a good understanding of Big Data and how it can be put to use to derive value in organisations of any size.

Venue: Kindly contact us on kla@kpmg.com.mt to indicate your preferred training method. Although we offer online sessions, having done in-person is highly recommended.

CPE Hours: This course qualifies for 2 hours of Structured CPE which can be classified as Professional Competency. A certificate of attendance will be provided at the end of the session.

Trainer:

Michele la Ferla, Senior Data Engineer, KPMG Digital Solutions

Michele is a data engineering manager at KPMG Malta. He joined the firm in 2021, bringing a diverse experience to the Data and Analytics team. Michele graduated from Middlesex University in 2016 and furthered his studies by following a Masters in Artificial Intelligence with the University of Malta, which he completed in 2023. Michele has worked on several engagements with previous companies ranging from working as a consultant in the Banking and Insurance sectors to experiencing hands-on development projects in .NET, Java and Android technologies. However, Michele’s preference has always been in the data engineering field, by gathering data from different sources; and extracting metrics which are relevant to the business from it.

This course is sponsored by:

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Terms and conditions.