Introduction to Data Virtualisation

Foundations of Data Virtualisation for complete beginners

Data is most likely your organization’s most valuable asset, yet many struggle with fragmented data landscapes with streaming, structured, semi-structured and aggregated data sitting across a range data sources. Data Virtualisation removes the need to physically move this data to a central repository for exploration and analysis and acts as a single, unified access point for users to query and manipulate data across a range of data sources.

What you’ll learn

  • Define Data Virtualisation and the core drivers behind this technology.
  • Understand the common applications and use cases of Data Virtualisation.
  • Discuss the security, governance and performance optimisation capabilities of a Data Virtualisation solution.
  • Familiarise yourself with the Data Virtualisation Vendor Landscape.

Course Content

  • Introduction –> 2 lectures • 3min.
  • Data Virtualisation Foundations –> 5 lectures • 13min.
  • Data Virtualisation Use Cases –> 7 lectures • 24min.
  • Performance Optimisation Techniques –> 4 lectures • 14min.
  • Data Governance –> 3 lectures • 12min.
  • Data Virtualisation Security –> 5 lectures • 19min.
  • Data Virtualisation Vendors –> 4 lectures • 15min.
  • Conclusion –> 3 lectures • 9min.

Introduction to Data Virtualisation

Requirements

  • [Nice to have] Familiarity working with data.
  • [Nice to have] Background in IT.

Data is most likely your organization’s most valuable asset, yet many struggle with fragmented data landscapes with streaming, structured, semi-structured and aggregated data sitting across a range data sources. Data Virtualisation removes the need to physically move this data to a central repository for exploration and analysis and acts as a single, unified access point for users to query and manipulate data across a range of data sources.

 

Organisations across various sectors like Financial Services, Telecommunication, IT, Mass Media, and Pharmaceutical are applying data Virtualisation technology to realise their data strategies and digital transformation. Analysts are predicting even wider adoption of Data Virtualisation, in fact Gartner has estimated that by the end of 2022 around 60% of organisations will implement Data Virtualisation as a key delivery style in their data integration architecture. It is therefore critical that as Data Professionals or Enthusiasts, we begin to familiarise ourselves with Data Virtualisation solutions and leverage the lessons learned from existing deployments to help build and exploit one of the most important data integration patterns today.

 

Until now, it has been fairly difficult for learners to readily access curated materials on the topic of Data Virtualisation, largely due to the fairly patchy and technical landscape that we need to navigate when trying to understand the subject area. This course is a game changer, bringing to life the starting point for your journey to becoming an expert in Data Virtualisation. I’m an knowledgeable Data & Analytics professional, with many years experience in developing and implementing data strategies for c-suite clients. I have built this course based on my experiences and lessons learnt in analysing and deploying Data Virtualisation solutions at FTSE 500 clients.

 

This course is aimed at leaners, such as data-focused professionals, with an interest in the latest trends in data architecture, data integration and data management, and with no prior exposure to Data Virtualisation technologies. It’s your guaranteed stepping stone to a solid foundation, ensured to make you comfortable with the terminology used in the field of Data Virtualisation. You will also be able to articulate the importance of Data Virtualisation, it’s underlying architecture and industry applications, as well as the vendor landscape

 

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