Master Course : Data Lakehouse Fundamentals in Data Science

Course Overview

• Course Title: Master Course: Data Lakehouse Fundamentals in Data Science
• Instructor: Dr. José Prabhu J
• Target Audience:
  • Data science professionals
  • Data engineers
  • IT professionals
  • Students interested in data management
• Prerequisites: Basic skills and ideas of data architecture and data management

Curriculum Highlights

• Key Topics Covered:
  • Understanding Data Lakehouse Architecture
  • Comparing Data Lakehouse vs. Other Data Architectures
  • Practical Use Cases for Data Lakehouse
  • Evaluating Data Architecture Needs and Fit
  • Implementing Data Lakehouse: Best Practices and Challenges
• Key Skills Learned:
  • Gain a deep comprehension of data lakehouse principles and components
  • Learn to design and deploy data lakehouse architectures effectively
  • Analyze and contrast data lakehouse with traditional data warehousing and data lakes
  • Evaluate the advantages and limitations of data lakehouse in diverse data scenarios
  • Explore real-world applications of data lakehouse in industries like e-commerce, healthcare, and finance
  • Develop strategies for leveraging data lakehouse to solve specific business challenges
  • Assess organizational requirements to determine if a data lakehouse architecture is the right choice
  • Understand the factors influencing the suitability of data lakehouse for various data management scenarios
  • Implement data lakehouse best practices for data ingestion, storage, and analytics
  • Identify and address common challenges and pitfalls during data lakehouse adoption

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • Access on mobile and TV
  • Certificate of completion