Essentials about Data Architecture


Free Download Essentials about Data Architecture
Published 8/2023
Created by Steven Knoblich
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 1h 9m ) | Size: 422 MB


Data Architecture and data lifecycle
What you’ll learn
General understanding of data
Data Lifecycle
fundamentals about Data Architecture
Data Architecture concepts, principles and benefits
Data Mesh
Data Warehouse
Data Fabrics
Data Lake
Requirements
You are welcome at every level. The course starts at zero.
Description
Are you ready to embark on an exciting journey into the world of Data Architecture? Our comprehensive course covers everything from the basics of data and its lifecycle, to the fundamentals of data architecture. You’ll learn about cutting-edge examples of data architecture, including data mesh, data warehouse, data lake, and data fabric. With engaging lessons you’ll gain the knowledge and skills you need to succeed in this rapidly evolving field.Data is the lifeblood of modern business, and understanding how to effectively manage and utilise it is essential for success. Our course begins with an introduction to data, exploring its various forms and uses. From there, we delve into the data lifecycle, examining how data is created, stored, processed, and ultimately disposed of.Next, we turn our attention to the fundamentals of data architecture. You’ll learn about the key principles of data architectures. We’ll explore a range of cutting-edge examples, including data mesh, data warehouse, data lake, and data fabric. You’ll gain a deep understanding of the strengths and weaknesses of each approach.By the end of the course, you’ll have a solid foundation in Data Architecture, and be well-equipped to tackle even the most complex data challenges. So why wait? Join us today and take your first step towards mastering Data Architecture!
Who this course is for
All aspiring learners are welcome to join us on this journey to master the basics about Data Architecture.
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