Building Data Lakehouse from Scratch - End to End Data Engineering Project
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- čas přidán 22. 05. 2024
- 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 1: • Saving 95% Cloud Cost ...
FULL DATA ENGINEERING COURSE AVAILABLE:
sh.datamasterylab.com/costsaver
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Timestamps:
0:00 Setting up Kafka Broker in KRaft Mode
21:30 Setting up Minio
35:30 Producing data into Kafka
39:10 Acquiring Secret and Access Key for S3
59:00 Creating S3 Bucket Event Listener for Lakehouse
1:05:53 Data Preview and Results
1:07:42 Outro
Resources:
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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 - Věda a technologie
incredible! thanks for sharing
Your projects are incredible.. congrats.
Thanks!
Hi Yusuf,
Please I have a question concerning the architecture of this Project.
Can I load the data onto a Cassandra database directly from Kafka, without relying on Spark or Flink?
Thanks in advance.
Hi there!
To have your data in Cassandra, you’ll need to have some sort of connector that dumps data into Cassandra as Cassandra in can’t pull data from Kafka.
Hello sir, can you please make a end to end project with Apache HUDI please.
Hey man, thanks for sharing your knowledge. Do you have the codes used in the video to share?
Yes, sure!
@@CodeWithYu Can you share with us? On Github maybe.