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Data Mesh – A Modern Decentralized Data Management Concept || Itsmekriish

 Data Mesh – A Modern Decentralized Data Management Concept: Treating Data as a Product in Enterprise-Level, Domain-Focused Data Architecture



What You Will Learn:

  • Understanding the concept of Data Mesh as a data architecture
  • Steps for implementing Data Mesh within organizations
  • Familiarity with related terms such as Data Fabric, Data Lake, Data Warehouse, Data Lakehouse, etc.
  • Case studies demonstrating Data Mesh applications in organizations like Netflix, PayPal, etc.

Description:

The amount of data produced globally increases every year. This is especially true for companies that collect more detailed information from customers, partners, transactions, products, and supply chains. According to IDC, "the global datasphere will grow from 45 zettabytes in 2019 to 175 zettabytes by 2025." Organizations extract valuable, actionable insights from this vast amount of data, but they face significant challenges in its collection, integration, and governance.

To address these challenges, many organizations are exploring the relatively new concept of "Data Mesh." Data Mesh is an emerging trend in enterprise software, focusing on innovative ways to handle data. Its goal is to enhance the business outcomes of data-centric solutions and to promote the adoption of modern data architectures.

🔸 Join us in the course "Data Mesh – A Modern Decentralized Data Management Concept" to unlock your potential and achieve success. 🚀

🔸 This course is designed for aspiring professionals looking to upskill and enthusiasts eager to explore new passions.

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Top Reasons to Choose This Course:

  • The course is designed for students from all backgrounds, covering everything from basics to advanced topics.
  • The course can be completed over a weekend.
  • A comprehensive collection of useful resources is shared and frequently updated.
  • All doubts will be addressed.
  • A verifiable Certificate of Completion is awarded to all students who complete the Data Mesh Fundamentals course.

Course Content:

  1. Introduction

    • Welcome
    • Introduction to Data Mesh
    • Defining Data Mesh
    • Understanding Data Mesh
    • Data Mesh in Detail
    • Why Data Mesh is Required
    • Data Mesh Benefits
    • Capabilities of Data Mesh
    • Data Mesh Use Cases
    • Examples of Companies Utilizing Data Mesh Architecture
    • Why Data Mesh is the Architecture of the Future
    • How Data Mesh Addresses Current Limitations
    • Current Data Problems and Their Solutions by Data Mesh
    • Terminologies Around Data Mesh
    • What are Data Products?
    • What is Data Fabric?
    • Data Mesh vs Data Fabric
    • Domains in Data Mesh
    • Data Warehouse vs Data Lake vs Data Lakehouse vs Data Mesh
  2. Data Mesh Implementation

    • Key Considerations Before Constructing a Data Mesh
    • Getting Started with Implementing Data Mesh
    • Building a Data Mesh Domain Team
  3. Data Mesh Architecture

    • Data Mesh Architecture – An Introduction
    • Data Mesh Architecture – Data as a Product
    • Data Mesh Architecture – Domain Ownership
    • Data Mesh Architecture – Federated Governance
    • Data Mesh Architecture – Self-Service Data Platform
  4. Closing Notes

    • Beware the Hype
    • Data Mesh Challenges
    • Data Mesh Pitfalls
    • Useful Resources
    • Congratulations on Course Completion

Conclusion:

🔰 We hope the "Data Mesh – A Modern Decentralized Data Management Concept" course has been enriching and empowering, equipping you with valuable skills and insights to achieve new heights in your personal and professional life.

🔰 As you move forward, armed with new knowledge and confidence, remember that learning is a lifelong adventure. Continue striving for excellence, embrace challenges, and keep expanding your horizons.

🔰 We believe in your potential and look forward to seeing the incredible impact you'll make. Stay inspired and continue exploring the boundless possibilities that await you.

🌟 Keep Learning, Keep Growing! 🌟

🎫 Apply Coupon Code➛  JULY_24


Course Link 🔗 


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