Data Integration Guide

[LeeAndro]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 38 lectures (2h 13m) | Size: 621.3 MB

Learn how data can be integrated : following which principles and for what business outcomes
What are main Data Integration Principles

What business use cases can Data Integration address and for what business value
How to setup a new Data Integration Solution
How to make the right choices for your project, solution, approach .. , ensuring successful business outcomes
Basic knowledge on IT Domain
Willingness to learn new things about Data and Data Integration
According to the World Economic Forum, at the bning of 2020, the number of bytes in the digital universe was 40 s bigger than the number of stars in the observable universe.
With data volume and usages growing, the need for data Integration is becoming more and more central topic.
Data Integration is mainly about exchag data across multiple systems and tools. Aligned with their business strategy, organizations need data to circulate ly and accurately through their information system and the external world (internet applications, trading partners ..)
In this course, we are presenting a complete guide on how to identify your need of data integration, how you can architecture your solutions, execute successfully your projects and manage data integration over, all of this in order to bring tangible business value and to support your business.
In more details we will address the following topics around Data Integration :
What is Data Integration
Data Integration Benefits & Business Value
Main Concepts & Features
Data Integration Paradigms & Patterns
Connectors for Data Integration
Security and technical architecture
Data Integration Projects
Data Integration Run Operations
Quick Overview of market solutions
Data Integration as Enabler for Digital Transformation
This course is intended to be a complete practical guide to help you understand all the aspects around Data Integration.
Students and Professionals passionate about Data
Professionals looking for different perspective around Data and Data Integration






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