Learn how data can be integrated : following which principles and for what business outcomes
What you'll learn
- 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 ?
Requirements
- Basic knowledge on IT Domain
- Willingness to learn new things about Data and Data Integration
Description
According to the World Economic Forum, at the beginning of 2020, the number of bytes in the digital universe was 40 times 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 exchanging data across multiple systems and tools. Aligned with their business strategy, organizations need data to circulate timely 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 overtime, 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
Who this course is for:
- Students and Professionals passionate about Data
- Professionals looking for different perspective around Data and Data Integration
