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Understanding Modern Data Architecture

Offered By: DataCamp

Tags

Data Governance Courses Data Security Courses Lambda Architecture Courses Data Ingestion Courses Cloud Cost Optimization Courses Data Mesh Courses

Course Description

Overview

Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.

In this course, you'll gain a deep understanding of the key components that make up modern data solutions and explore different existing architectures with their unique benefits and drawbacks. From data ingestion and serving to governance and orchestration, you'll explore each layer and discover how they contribute to building robust and scalable data solutions. By the end of the course, you'll have the knowledge and skills to design and implement modern data architectures that not only drive valuable insights but also take cost and security considerations into account.

Syllabus

  • Introduction to Modern Data Architecture
    • After seeing this chapter, you will be able to explain what modern data architecture is, and what are their key requirements and components. You'll also review different types of existing data architectures, ranging from Lambda to Data Mesh.
  • Modern Data Architecture Components
    • Learn about the different components and layers of modern data architectures; from data ingestion to serving. Get familiar with the different paradigms and approaches in each layer, and some of the cloud services used to implement modern data solutions to get field experience!
  • Transversal Components of Data Architectures
    • Dive into the transversal components that modern data architectures consist of, covering key aspects like data governance, metadata, data security, and observability. By understanding these vital elements, you'll be prepared to design robust, secure, and efficient data platforms while maintaining high standards for the data and overall service.
  • Putting it All Together
    • Learn how to manage workflows, understand costs in cloud services, and create modern data designs. This chapter helps you work with tools like Apache Airflow and teaches you ways to save money on cloud use. By the end, you'll know how to build and judge strong data systems for businesses.

Taught by

Miller Andrés Trujillo Achury

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