Introduction to Data Virtualisation
https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 633 MB | Duration: 1h 48m
Foundations of Data Virtualisation for complete beginners
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
Requirements
[Nice to have] Familiarity working with data
[Nice to have] Background in IT
Description
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.
