Data Integration Guide

Data Integration Guide, available at $64.99, has an average rating of 4.51, with 40 lectures, 9 quizzes, based on 6713 reviews, and has 15681 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Professionals or Students and Professionals passionate about Data or Professionals looking for different perspective around Data and Data Integration It is particularly useful for Data Professionals or Students and Professionals passionate about Data or Professionals looking for different perspective around Data and Data Integration.

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Summary

Title: Data Integration Guide

Price: $64.99

Average Rating: 4.51

Number of Lectures: 40

Number of Quizzes: 9

Number of Published Lectures: 40

Number of Published Quizzes: 9

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: 34.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Data Professionals

Students and Professionals passionate about Data

Professionals looking for different perspective around Data and Data Integration

Target Audiences

Data Professionals

Students and Professionals passionate about Data

Professionals looking for different perspective around Data and 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 Integrationis 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 guideon 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 :

Chief Information Officers

Chief Data Officers

Chief Digital Officers

Chief Analytics Officer

Head of Data

Head of Analytics

IT Managers

Business managers who work with Data

Data Managers

Enterprise Architects

Data Project Managers

Digital Projects Managers

Data Analysts

Data Specialists

Data Engineers

Data Scientists

Data Architects

Data Modelers

IT Auditors

Information System Performance Analysts

And also, all students and professionals who want 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.

This course is also vendor agnostic (and independent), whether you will work with solutions like Informatica, Talend, Boomi, OpenESB, Tibco ActiveMatrix, Mulesoft, IBM Websphere, Microsoft BizTalk or other, this course is generic enough to help you in your journey regardless of the solution you use or intend to use! It will even help you make the right choice based on your requirements and constraints.

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Data Integration ?

Lecture 3: Disclaimers

Chapter 2: Benefits, Business Value, Concepts & Terminology

Lecture 1: Benefits & Business Value

Lecture 2: Main Concepts & Terminology

Chapter 3: Scope of Data Integration

Lecture 1: Main Features

Lecture 2: Orchestration and Service Composition

Lecture 3: Data Transformation

Chapter 4: Data Integration Patterns

Lecture 1: Point to Point Integration Pattern

Lecture 2: ETL – Extract Transform Load Integration Pattern

Lecture 3: ESB – Enterprise Service Bus & WebServices

Lecture 4: EDI – Electronic Data Interchange

Chapter 5: Connectors and Integration Mechanisms

Lecture 1: Connectors : Introduction

Lecture 2: DataBase Connectors

Lecture 3: Webservices

Lecture 4: File Connectors

Chapter 6: Security & Technical Architecture

Lecture 1: Security

Lecture 2: Technical Architecture

Chapter 7: Data Integration Projects

Lecture 1: Introduction to DIPF : Data Integration Project Framework

Lecture 2: Step 1 : Ask the right questions

Lecture 3: Step 2 : Identify business use cases and their value & feasibility

Lecture 4: Step 3 : Solution Panel

Lecture 5: Step 4 : The MVP

Lecture 6: Step 5 : The industrialization plan

Lecture 7: Step 6 : Solution & Project Methodology choices

Lecture 8: Step 7 : Project Execution

Lecture 9: Step 8 : Transition to Run

Lecture 10: DIPF Wrap Up!

Chapter 8: Data Integration Operations Management

Lecture 1: Managing Data Integration Operations – Introduction

Lecture 2: Software Vendor Support

Lecture 3: Monitoring and Alerts

Lecture 4: Incidents Management

Lecture 5: Environment Maintenance

Lecture 6: Operations Management – Example

Chapter 9: Quick Overview of market solutions

Lecture 1: OpenSource vs Proprietary

Lecture 2: Solution components

Lecture 3: Licensing and Pricing Models

Lecture 4: Demo – Building a simple Data Flow with Make, Airtable and Public API

Chapter 10: Data Integration for Digital Transformation

Lecture 1: Digital Transformation

Chapter 11: Conclusion

Lecture 1: Thank you & Wrap up!

Instructors

Ahmed Fessi
FinTech CIO | Data Leader | Enterprise Architect | Author

Rating Distribution

1 stars: 19 votes

2 stars: 74 votes

3 stars: 666 votes

4 stars: 2525 votes

5 stars: 3429 votes

Frequently Asked Questions

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