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Building serveless distributed analytics application on AWS

Building serveless distributed analytics application on AWS
Free Download Building serveless distributed analytics application on AWS
Published 1/2024
Created by Tomasz Stachlewski
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 3h 11m ) | Size: 1.9 GB


Building serverless app from A to Z on AWS Cloud
What you'll learn:
Learn how to build data-processing application on AWS
Learn how to use BigData frameworks on EMR Serverless.
Learn how to visualize and orchestrate the flow of actions using Step Functions.
Use the concept of event driven processing to automate the invocation of our processing flow thanks to EventBridge.
Build your own Data Catalog with the help of Glue
Analyze collected data using SQL queries in fully serverless way with help of Athena.
Discover the power CodeWhisperer – AI coding companion which helped to write our own PySpark scripts.
Requirements:
No prior knowledge required!
Own AWS account will be required.
Description:
Welcome in this hands-on course, during which you will build your own data-analysis application on AWS Cloud! This course is dedicated for you independently if you already know AWS or you are just starting with cloud! Together we will build step by step fully operational application for analyzing data! Each lecture will extend our application with new functionalities and features - so that at the end we will have complex and advance application! Let's see exactly what kind of topics we will cover in our hands-on course. Only here you will:learn how to distribute analysis across fleet of servers using EMR Serverless.learn how to visualize and orchestrate the flow of actions using Step Functions.use the concept of event driven processing to automate the invocation of our processing flow thanks to EventBridge.create Spark jobs for data conversion and aggregation and run it on BigData platform.build your own Data Catalog using Glue service.analyze collected data using SQL queries in fully serverless way with help of Athena.discover the power CodeWhisperer – AI coding companion which helped to write our own PySpark scripts.optimize the cost of your application and start using ARM processors for your BigData jobsReady, Stady, Go! Lets build!
Who this course is for:
For all those who want to learn how to build serverless data anaysis applications in AWS Cloud!
Homepage
https://www.udemy.com/course/building-serveless-distributed-analytics-app-with-emr-on-aws/



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