Google Cloud End to End Data Engineering Projects - Building Data Lakehouse from Scratch - End to End Data Engineering Project

In this video you will learn to design, implement and maintain secure, scalable and cost effective lakehouse architectures leveraging Apache Spark, Apache Kafka, Apache Flink, Delta Lake, AWS, and open-source tools. Unlock data's full potential through advanced analytics and machine learning. Part 2: https://youtu.be/K84MEdiC1tM FULL COURSE AVAILABLE: https://sh.datamasterylab.com/costsaver Like this video? Support us: https://www.youtube.com/@CodeWithYu/join Timestamps: 0:00 Introduction 1:24 The system architecture 4:59 The modern system architecture 9:15 Implementation of the Current Data Lakehouse on AWS Cloud 11:33 Creating Databases for Data Lakehouse 12:12 Using Glue crawler for Data Lakehouse 17:19 Using Lambda function to automate data orchestration on AWS Cloud 21:03 Coding the Lambda function 43:57 Optimising Lambda Function 48:46 Verification of Results 53:43 Outro Resources: Youtube Source Code: https://buymeacoffee.com/yusuf.ganiyu/youtube-source-code-building-cost-effective-data-lakehouse 🌟 Please LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 👦🏻 My Linkedin: https://www.linkedin.com/in/yusuf-ganiyu-b90140107/ 🚀 X(Twitter): https://x.com/YusufOGaniyu 📝 Medium: https://medium.com/@yusuf.ganiyu Hashtags: #dataengineering #bigdata #dataanalytics #realtimeanalytics #streaming, #datalakehouse, #datalake, #datawarehouse, #dataintegration, #datatransformation, #datagovernance, #datasecurity, #apachespark, #apachekafka, #apacheflink, #deltalake, #aws, #opensource, #dataingestion, #structureddata, #unstructureddata, #semi-structureddata, #dataanalysis, #advancedanalytics, #dataarchitecture, #costoptimization, #cloudcomputing, #awscloud