Data Engineers: The Unsung Heroes of the Modern Organization

Why Data Engineering Is More Important Today Than Ever Before? 

In today's rapidly evolving digital landscape, data has become the lifeblood of organizations across all industries. From marketing and sales to product development and customer service, data-driven insights are essential for making informed decisions, identifying new opportunities, and gaining a competitive edge. However, raw data alone is of little value. It must be transformed into a usable format, integrated with other data sources, and made accessible to the right people at the right time and this is when you turn to the data engineers in your organization.
 
Data engineers play a crucial role in building and maintaining the robust and scalable data infrastructure that supports an organization's data-driven initiatives. They are responsible for designing, developing, and implementing data pipelines, data warehouses, and data lakes. They ensure the quality, security, and availability of data, and they work closely with data scientists, analysts, and business users to meet their data needs. With so many companies poised to take advantage of AI in software development and related roles, it has been assumed that the traditional role of the data engineer has lost importance. Nothing is further from the truth - the skills that built the warehouses and lakes are still very much a necessity if AI innovation is to provide value to your organization.
 
This webinar is for those considering data engineering role or interest in developing their role. However the webinar is recommended also for everyone else, as understanding the fundamentals of data science is essential for most other roles in organisations. 
 

Keynote speaker

Matthew Wooller, Senior Data Strategist, Codento
 
Matthew Wooller has been working with organizations for over twenty years to foster, develop and cultivate technology and data led approaches to business and commerce. In his role, he works with clients to extract value from data, helping to develop and build organizations to deal with analytics, machine learning and AI.
 

The webinar is free of charge. We will share the webinar recording after the event with all registrees.

Registration

Register for the webinar by January 17, 2025. You will get instructions on how to join the webinar in a separate email.

Register

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