
In this video, instructor Alex Merced introduces himself and the course.
Alex Merced answers the question, "What is Data Engineering"?
Alex Merced discusses what is a Data Warehouse?
Alex Merced discusses what is a data lake?
Alex Merced discusses what is a Data Lakehouse?
Alex Merced discusses what is a Table Format?
Alex Merced discusses what is Iceberg?
Alex Merced discusses the mechanics of Apache Iceberg read and write transactions.
Alex Merced explains the mechanics and value of Apache Iceberg features.
Alex Merced explains the role of catalogs in Iceberg, the different types and what makes Nessie catalog unique.
Alex Merced explains the different functionality Apache Iceberg tools can provide and what is the Dremio Lakehouse Platform.
Alex Merced walks through how to setup a local Data Lakehouse environment using Docker Desktop.
Alex Merced goes over the basics of using SQL with Apache Iceberg Tables
Alex Merced goes over how to use things like CREATE TABLE AS statements to take other data stored in files or database tables and turn them into Apache Iceberg tables.
Alex Merced demonstrated how to use Nessies Catalog Level Commits, Branching and Tagging to your advantage.
Alex Merced wraps up the course and shows you where you can continue learning more about data engineering and Apache Iceberg
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:
Introduction to Lakehouse Architecture: Understand the principles of lakehouse architecture and its advantages over traditional data warehouses and data lakes.
Apache Iceberg: Explore the basics of Apache Iceberg, a high-performance table format for huge analytic datasets.
Project Nessie: Learn about Project Nessie, a Git-like experience for data, providing version control for your data lake.
Dremio: Discover how Dremio integrates with Iceberg and Nessie to deliver lightning-fast queries and an optimal analytics experience.
Hands-on Setup: Set up a local environment to get hands-on with these technologies, including Docker configurations and initial setup steps.
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!