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 :
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What is Data Integration ?
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Data Integration Benefits & Business Value
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Main Concepts & Features
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Data Integration Paradigms & Patterns, including,
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ESB, Enterprise Service Bus
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ETL, Extract Transform Load
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EDI, Electronic Data Interchange
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API, Application Programming Interface
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Connectors for Data Integration
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With Databases
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With Files
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With WebServices: SOAP, REST
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With Enterprise Applications like SAP
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Security and technical architecture
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High availability
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Data Encryption
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Cloud Deployments
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Data Integration Projects
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Data Integration Run Operations
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Quick Overview of market solutions
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Proprietary vs OpenSource
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Solution components
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Licencing and pricing models
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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 :
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Chief Information Officers
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Chief Data Officers
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Chief Digital Officers
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Chief Analytics Officer
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Head of Data
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Head of Analytics
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IT Managers
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Business managers who work with Data
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Data Managers
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Enterprise Architects
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Data Project Managers
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Digital Projects Managers
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Data Analysts
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Data Specialists
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Data Engineers
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Data Scientists
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Data Architects
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Data Modelers
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IT Auditors
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Information System Performance Analysts
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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
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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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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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