Data Mesh – A Modern Decentralized Data Management Concept

Data Mesh – A Modern Decentralized Data Management Concept, available at $44.99, has an average rating of 4.1, with 34 lectures, based on 202 reviews, and has 32690 subscribers.

You will learn about Concept of Datamesh as a Data Architecture concept Steps to implement Datamesh in organizations Concept of related terms like Data Fabric, Data Lake, Data Warehouse, Data Lakehouse etc Datamesh applications case studies of organizations like Netflix, Paypal etc This course is ideal for individuals who are IT Professionals looking to learn the trending new concept of Data Mesh or Students and Professionals in Data Domain – Data Scientists, BI Professionals, Database Administrators etc. or Organizations looking to scale their Data Management techniques It is particularly useful for IT Professionals looking to learn the trending new concept of Data Mesh or Students and Professionals in Data Domain – Data Scientists, BI Professionals, Database Administrators etc. or Organizations looking to scale their Data Management techniques.

Enroll now: Data Mesh – A Modern Decentralized Data Management Concept

Summary

Title: Data Mesh – A Modern Decentralized Data Management Concept

Price: $44.99

Average Rating: 4.1

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: ₹999

Quality Status: approved

Status: Live

What You Will Learn

Concept of Datamesh as a Data Architecture concept
Steps to implement Datamesh in organizations
Concept of related terms like Data Fabric, Data Lake, Data Warehouse, Data Lakehouse etc
Datamesh applications case studies of organizations like Netflix, Paypal etc

Who Should Attend

IT Professionals looking to learn the trending new concept of Data Mesh
Students and Professionals in Data Domain – Data Scientists, BI Professionals, Database Administrators etc.
Organizations looking to scale their Data Management techniques

Target Audiences

IT Professionals looking to learn the trending new concept of Data Mesh
Students and Professionals in Data Domain – Data Scientists, BI Professionals, Database Administrators etc.
Organizations looking to scale their Data Management techniques

Every year more data is produced globally. This holds also for companies: more details than ever are recorded from customers, partners, transactions, products and supply chain resulting in more data. According to IDC , “the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025”. This data forms the raw material from which organizations are drawing valuable, actionable insights. But the collection, integration and governance of this data is still one of the main challenges.

These organizations are now looking at a relatively new concept called “Data Mesh” to overcome these main challenges and inhibitors. Data Mesh is an emerging hot topic for enterprise software that puts focus on new ways of thinking about data. Data Mesh aims to improve business outcomes of data-centric solutions, as well as to drive adoption of modern data architectures.

Top Reasons why you should choose this Course :

This course is designed keeping in mind the students from all backgrounds – hence we cover everything from basics, and gradually progress towards elaborate topics.
This course can be completed over a Weekend.
Wonderful collection of useful resources are shared, that will be updated frequently.
All Doubts will be answered.

A Verifiable Certificate of Completion is presented to all students who undertake this Data Mesh Fundamentals course.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Introduction to Data Mesh

Lecture 3: Defining Data Mesh

Lecture 4: Understanding Data Mesh

Chapter 2: Data Mesh in Detail

Lecture 1: Why Data Mesh is Required

Lecture 2: Data Mesh Benefits

Lecture 3: Capabilities of Data Mesh

Lecture 4: Data Mesh Use cases

Lecture 5: Example of Companies utilizing Data Mesh Architecture

Lecture 6: Why Data Mesh is the Architecture of Future

Lecture 7: How Data Mesh address the current Limitations

Lecture 8: Current Data problems and their Solutions by Data Mesh

Chapter 3: Terminologies around Data Mesh

Lecture 1: What are Data Products?

Lecture 2: What is Data Fabric?

Lecture 3: Domains in Data Mesh

Lecture 4: Data Warehouse vs Data Lake vs Data Lakehouse vs Data Mesh

Chapter 4: Data Mesh Implementation

Lecture 1: Key considerations before constructing a Data Mesh

Lecture 2: Getting started with implementing Data Mesh

Lecture 3: Building a Data Mesh Domain Team

Chapter 5: Data Mesh Architecture

Lecture 1: Data Mesh Architecture – An Introduction

Lecture 2: Data Mesh Architecture – Data as a Product

Lecture 3: Data Mesh Architecture – Domain Ownership

Lecture 4: Data Mesh Architecture – Federated Governance

Lecture 5: Data Mesh Architecture – Self Service Data Platform

Chapter 6: Case Studies on Data Mesh Implementations

Lecture 1: Case Study – LinkedIn

Lecture 2: Case Study – Netflix

Lecture 3: Case Study – Paypal

Lecture 4: Case Study – Wells Fargo

Lecture 5: Case Study – Western Digital

Chapter 7: Closing Notes

Lecture 1: Beware the Hype

Lecture 2: Data Mesh Challenges

Lecture 3: Data Mesh Pitfalls

Lecture 4: Useful Resources

Chapter 8: Congratulations

Lecture 1: Congratulations on Course Completion

Instructors

Prince Patni
Software Developer (BI, Data Science)

Rating Distribution

1 stars: 16 votes
2 stars: 13 votes
3 stars: 41 votes
4 stars: 56 votes
5 stars: 76 votes

Frequently Asked Questions

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