Basics of Lakehouse Engineering – Iceberg, Nessie, Dremio
Basics of Lakehouse Engineering – Iceberg, Nessie, Dremio, available at Free, has an average rating of 4.68, with 16 lectures, based on 14 reviews, and has 612 subscribers.
You will learn about What is a Data Lakehouse? What is Apache Iceberg, Nessie and Dremio? How to deploy a local lakehouse environment How do work with Iceberg tables using SQL This course is ideal for individuals who are Aspiring Data Engineers It is particularly useful for Aspiring Data Engineers.
Enroll now: Basics of Lakehouse Engineering – Iceberg, Nessie, Dremio
Summary
Title: Basics of Lakehouse Engineering – Iceberg, Nessie, Dremio
Price: Free
Average Rating: 4.68
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- What is a Data Lakehouse?
- What is Apache Iceberg, Nessie and Dremio?
- How to deploy a local lakehouse environment
- How do work with Iceberg tables using SQL
Who Should Attend
- Aspiring Data Engineers
Target Audiences
- Aspiring Data Engineers
Welcome to “Basics of Lakehouse Engineering – Iceberg, Nessie, Dremio”! This course is designed for aspiring data engineers who want to dive into the fundamentals of data engineering within the context of an open lakehouse architecture. You’ll gain a comprehensive understanding of key technologies like Apache Iceberg, Nessie, and Dremio, and how they work together to revolutionize data management.
What You’ll Learn:
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Introduction to Lakehouse Architecture: Understand the principles of lakehouse architecture and its advantages over traditional data warehouses and data lakes.
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Apache Iceberg: Explore the basics of Apache Iceberg, a high-performance table format for huge analytic datasets.
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Project Nessie: Learn about Project Nessie, a Git-like experience for data, providing version control for your data lake.
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Dremio: Discover how Dremio integrates with Iceberg and Nessie to deliver lightning-fast queries and an optimal analytics experience.
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Hands-on Setup: Set up a local environment to get hands-on with these technologies, including Docker configurations and initial setup steps.
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Basic SQL with Iceberg Tables: Perform basic SQL operations on Iceberg tables to understand data manipulation and querying in a lakehouse context.
Why Take This Course?
This course is ideal for data engineering beginners and professionals who want to expand their skill set with modern, open-source technologies. By the end of the course, you’ll be equipped with the knowledge and practical skills to set up and manage an open lakehouse environment, leveraging the power of Iceberg, Nessie, and Dremio for your data engineering projects.
Join us on this exciting journey to master the basics of lakehouse engineering and pave the way for a successful career in data engineering!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What is Data Engineering?
Lecture 3: What is a Data Warehouse?
Lecture 4: What is a Data Lake?
Lecture 5: What is a Data Lakehouse?
Chapter 2: Apache Iceberg Basics
Lecture 1: What is a Table Format?
Lecture 2: What is Apache Iceberg?
Lecture 3: Apache Iceberg Mechanics
Lecture 4: Apache Iceberg Features
Lecture 5: Nessie and Apache Iceberg Catalogs
Lecture 6: Dremio and Apache Iceberg Tooling
Chapter 3: Hands-on with Iceberg, Dremio and Apache Iceberg
Lecture 1: Setting Up Your Local Environment
Lecture 2: Basic SQL with Apache Iceberg Tables
Lecture 3: Turning Data into an Apache Iceberg Table
Lecture 4: Using Nessies Git-for-data Catalog Versioning
Lecture 5: How to Learn More
Instructors
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Alex Merced
Author of “Apache Iceberg: The Definitive Guide”
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 0 votes
- 4 stars: 3 votes
- 5 stars: 10 votes
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