Data Integration Guide | Udemy


Data Integration Guide | Udemy
English | Size: 1.01 GB
Genre: eLearning

What you’ll learn
Data Integration Concepts & Principles, and main features
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 and approach, ensuring successful business outcomes ?
Data Integration Patterns : ESB (Enterprise Service Bus), ETL (Extract Transform Load), EDI (Electronic Data Interchange) and API
Connectors and Integration Mechanisms : with Webservices, Databases, Files and Enterprise Solutions
How Data Integration can empower and enable Digital Transformation
Multiple examples from several industries to help you project an efficient usage of Data Integration

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 ..). This allows organizations to answer market needs, be competitive, reduce time to market, and become data driven by easing decision making processes.

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, including,

ESB, Enterprise Service Bus

ETL, Extract Transform Load

EDI, Electronic Data Interchange

API, Application Programming Interface

Connectors for Data Integration

With Databases

With Files

With WebServices: SOAP, REST

With Enterprise Applications like SAP

Security and technical architecture

High availability

Data Encryption

Cloud Deployments

Data Integration Projects

Data Integration Run Operations

Quick Overview of market solutions

Proprietary vs OpenSource

Solution components

Licencing and pricing models

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. It can help you in your career and your current activities, by bringing a complete 360° overview on Data Integration topic.

This course is intended to help :

Data Analysts

Data Specialists

Data Engineers

Data Scientists

Data Architects

Data Modelers

Data Managers

Enterprise Architects

Data Project Managers

Digital Projects Managers

Information System Performance Analysts

IT managers

Head of Data

Head of Analytics

Chief Information Officers

Chief Data Officers

Chief Digital Officers

And also, all students and professionals who wants to benefit from the big market demand in Data and this important skill!

No prior experience in Programming or Data Bases is needed to follow this course.

Throughout the course, you can easily contact the instructor for any questions you have to sharpen your knowledge and have tailored made learning experience!

Who this course is for:
Data Professionals
Students and Professionals passionate about Data
Professionals looking for different perspective around Data and Data Integration

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About WoW Team

I'm WoW Team , I love to share all the video tutorials. If you have a video tutorial, please send me, I'll post on my website. Because knowledge is not limited to, irrespective of qualifications, people join hands to help me.

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