Modern Lakehouse Architecture and Data Storage

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Modern Lakehouse Architecture and Data Storage

This course is part of Modern Data Engineering & Architecture Specialization

Instructor: TSV Learning

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3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Analyze modern lakehouse architectures, ACID transactions, and open table formats, including Delta Lake, Apache Iceberg, and Apache Hudi.
Evaluate query optimization, partitioning, caching, and concurrency strategies to improve lakehouse performance and reliability.
Assess data governance, multi-cloud interoperability, FinOps, and migration strategies for scalable, cost-efficient lakehouse platforms.

Skills you'll gain

Tools you'll learn

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This course is part of the Modern Data Engineering & Architecture Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

Learn how to design, evaluate, and optimize modern data lakehouse architectures for scalable analytics and machine learning. This course is designed for data engineers, analytics engineers, aspiring data architects, and learners interested in reliable, cost-efficient data platforms.

You'll explore how lakehouse architecture combines flexible cloud storage with data warehouse reliability. Examine transaction logs, ACID transactions, metadata management, schema evolution, and real-time data ingestion. Compare Delta Lake, Apache Iceberg, and Apache Hudi for batch, streaming, and analytical workloads. Discover how query optimization, partitioning, compaction, caching, and concurrency improve lakehouse performance. Explore multi-cloud interoperability, data mesh, liquid clustering, orchestration, observability, access control, and lakehouse FinOps. You'll also evaluate medallion architecture file formats, benchmarking, disaster recovery, and incremental migration strategies. By the end of this course, you'll be able to assess lakehouse architectures, compare open table formats, evaluate performance and reliability strategies, and make informed storage, governance, and cost decisions. What makes this course distinctive is its integrated approach to lakehouse architecture, performance optimization, and enterprise governance, helping you evaluate scalable data platforms against real-world requirements.

Analyze lakehouse foundations, metadata, and ACID transactions; compare Delta Lake, Iceberg, and Hudi for reliable batch and streaming workloads.

What's included

6 videos4 assignments

6 videosTotal 42 minutes

Evolution of the Lakehouse8 minutes
Limitations of Traditional Data Lakes5 minutes
Lakehouse Metadata and Transactions8 minutes
Delta Lake Architecture7 minutes
Delta-Iceberg-and Hudi Compared8 minutes
Real-Time Lakehouse Operations6 minutes

4 assignmentsTotal 60 minutes

Lakehouse Foundations and Core Architecture30 minutes
From Data Lakes to Lakehouses10 minutes
Transactions and Lakehouse Architecture10 minutes
Open Table Formats and Real-Time Operations10 minutes

Evaluate query optimization, concurrency, and reliability strategies, then assess multi-cloud interoperability and data mesh for scalable enterprise platforms.

What's included

4 videos3 assignments

Assess liquid clustering, FinOps, access control, and medallion file formats; evaluate benchmarking and adoption strategies for governed, cost-efficient lakehouses.

What's included

4 videos3 assignments

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Instructor

TSV Learning

The Skill Valley

83 Courses544 learners

Offered by

The Skill Valley

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