Introduction to Data Virtualisation
Introduction to Data Virtualisation, available at $49.99, has an average rating of 4.43, with 33 lectures, 5 quizzes, based on 7 reviews, and has 640 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone with an interest in Data Virtualisation, or Data Architecture or Data-focused professionals or enthusiasts or Individuals at the start of their journey in Data Virtualisation, Data Integration or Data Fabrics It is particularly useful for Anyone with an interest in Data Virtualisation, or Data Architecture or Data-focused professionals or enthusiasts or Individuals at the start of their journey in Data Virtualisation, Data Integration or Data Fabrics.
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Summary
Title: Introduction to Data Virtualisation
Price: $49.99
Average Rating: 4.43
Number of Lectures: 33
Number of Quizzes: 5
Number of Published Lectures: 33
Number of Published Quizzes: 5
Number of Curriculum Items: 38
Number of Published Curriculum Objects: 38
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Anyone with an interest in Data Virtualisation, or Data Architecture
- Data-focused professionals or enthusiasts
- Individuals at the start of their journey in Data Virtualisation, Data Integration or Data Fabrics
Target Audiences
- Anyone with an interest in Data Virtualisation, or Data Architecture
- Data-focused professionals or enthusiasts
- Individuals at the start of their journey in Data Virtualisation, Data Integration or Data Fabrics
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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Learning Objectives
Chapter 2: Data Virtualisation Foundations
Lecture 1: Why Data Virtualisation Matters
Lecture 2: Data Virtualisation Definition
Lecture 3: Benefits of Data Virtualisation
Lecture 4: Data Virtualisation Reference Architecture
Lecture 5: What Data Virtualisation is Not
Chapter 3: Data Virtualisation Use Cases
Lecture 1: Introduction
Lecture 2: Logical Data Warehouse
Lecture 3: Cloud Migration / Multi-Cloud
Lecture 4: Single Unified View
Lecture 5: Data Services
Lecture 6: Data Marketplace
Lecture 7: Analytics
Chapter 4: Performance Optimisation Techniques
Lecture 1: Introduction
Lecture 2: Query Re-write
Lecture 3: Massive Parallel Processing (MPP)
Lecture 4: Query Summaries
Chapter 5: Data Governance
Lecture 1: Introduction
Lecture 2: Metadata Management
Lecture 3: Data Catalog
Chapter 6: Data Virtualisation Security
Lecture 1: Introduction
Lecture 2: Authentication
Lecture 3: Authorisation
Lecture 4: Privacy
Lecture 5: Auditing
Chapter 7: Data Virtualisation Vendors
Lecture 1: Introduction
Lecture 2: Sole Data Virtualisation Vendors
Lecture 3: Data Integration Vendors with Data Virtualisation
Lecture 4: DBMS Vendors with Data Virtualisation
Chapter 8: Conclusion
Lecture 1: What You Should Have Learned
Lecture 2: Critical Success Factors
Lecture 3: What's Next?
Instructors
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Data Lab
Data Professional
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- 2 stars: 1 votes
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- 4 stars: 1 votes
- 5 stars: 5 votes
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