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: Whats Next?

Instructors

Data Lab
Data Professional

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2 stars: 1 votes

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4 stars: 1 votes

5 stars: 5 votes

Frequently Asked Questions

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