Data visualization is the process of creating and translating large data sets and metrics into charts,
graphs, predictive analytics and other visuals. Data visualisation tools is mostly based on analysis made
by analysts like business intelligence analyst. Many analytics such as data analytics, big data analytics,
page insights, predictive analytics, web analytics, people analytics, perspective analytics, marketing
analytics, social media analytics, descriptive analytics, advanced analytics, website analytics, learning
analytics, financial analytics, digital analytics, customer analytics, supply chain analytics, speech
analytics, diagnostic analytics, augmented analytics, synapse analytics, hashtag analytics, real time
analytics etc. Visualisations vary such as information visualisation, bubble charts, creative visualisation,
graph visualisation where you can explore and be explained by these visualisations.
The topic you will get in the books are:
Architecture Concepts
Architecture Examples
Architecture Overview
Case Studies Review
Data Federation
Data Integration
Data Virtualization
Data Warehousing
Deployment and Operation
Design and Modeling Development
Discovery
Foundation
Human Factors
Integration Projects
Management Resources
Management Advanced Topics
Monitor
Performance Tuning
Practical Data
Review
Skills, Competencies,
Virtualization Platforms
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