Главная
Study mode:
on
1
Introduction
2
The system architecture
3
The modern system architecture
4
Implementation of the Current Data Lakehouse on AWS Cloud
5
Creating Databases for Data Lakehouse
6
Using Glue crawler for Data Lakehouse
7
Using Lambda function to automate data orchestration on AWS Cloud
8
Coding the Lambda function
9
Optimising Lambda Function
10
Verification of Results
11
Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn to design, implement, and maintain a secure, scalable, and cost-effective data lakehouse architecture in this comprehensive end-to-end data engineering project. Explore advanced techniques using Apache Spark, Apache Kafka, Apache Flink, Delta Lake, AWS, and open-source tools to unlock data's full potential through analytics and machine learning. Dive into modern system architectures, create databases, utilize Glue crawlers, and automate data orchestration with Lambda functions on AWS Cloud. Gain hands-on experience in coding, optimizing, and verifying results while mastering the intricacies of building a robust data lakehouse from scratch.

Building Data Lakehouse from Scratch - End-to-End Data Engineering Project

CodeWithYu
Add to list