Udemy – Data Engineering Master Class using AWS Analytics Services 2024-11
Udemy – Data Engineering Master Class using AWS Analytics Services 2024-11 Downloadly IRSpace
Here are the high-level steps which you will follow as part of the course.
- Setup Development Environment
- Getting Started with AWS
- Storage – All about AWS s3 (Simple Storage Service)
- User Level Security – Managing Users, Roles, and Policies using IAM
- Infrastructure – AWS EC2 (Elastic Cloud Compute)
- Data Ingestion using AWS Lambda Functions
- Overview of AWS Glue Components
- Setup Spark History Server for AWS Glue Jobs
- Deep Dive into AWS Glue Catalog
- Exploring AWS Glue Job APIs
- AWS Glue Job Bookmarks
- Development Life Cycle of Pyspark
- Getting Started with AWS EMR
- Deploying Spark Applications using AWS EMR
- Streaming Pipeline using AWS Kinesis
- Consuming Data from AWS s3 using boto3 ingested using AWS Kinesis
- Populating GitHub Data to AWS Dynamodb
- Overview of Amazon AWS Athena
- Amazon AWS Athena using AWS CLI
- Amazon AWS Athena using Python boto3
- Getting Started with Amazon AWS Redshift
- Copy Data from AWS s3 into AWS Redshift Tables
- Develop Applications using AWS Redshift Cluster
- AWS Redshift Tables with Distkeys and Sortkeys
- AWS Redshift Federated Queries and Spectrum
Who is this course suitable for?
- Beginner or Intermediate Data Engineers who want to learn AWS Analytics Services for Data Engineering
- Intermediate Application Engineers who want to explore Data Engineering using AWS Analytics Services
- Data and Analytics Engineers who want to learn Data Engineering using AWS Analytics Services
- Testers who want to learn Databricks to test Data Engineering applications built using AWS Analytics Services
What you will learn in Data Engineering Master Class using AWS Analytics Services Course :
- Data Engineering leveraging AWS Analytics features
- AWS Essentials such as s3, IAM, EC2, etc
- Understanding AWS s3 for cloud based storage
- Understanding details related to virtual machines on AWS known as EC2
- Managing AWS IAM users, groups, roles and policies for RBAC (Role Based Access Control)
- Managing Tables using AWS Glue Catalog
- Engineering Batch Data Pipelines using AWS Glue Jobs
- Orchestrating Batch Data Pipelines using AWS Glue Workflows
- Running Queries using AWS Athena – Server less query engine service
- Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines
- Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards
- Data Ingestion using AWS Lambda Functions
- And…..
Course details :
Publisher: Udemy
Instructor: Durga Viswanatha Raju Gadiraju,Asasri Manthena,Perraju Vegiraju
language : English
Training level: Advanced
Number of courses: 434
Training duration: 26 hours 15 minutes
Data Engineering Master Class using AWS Analytics Services Course Content:

Requirements :
- Programming experience using Python
- Data Engineering experience using Spark
- Ability to write and interpret SQL Queries
- This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile
Pictures :

Simple Video :
Installation guide :
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
The 2024/11 version has not changed in terms of the number of lessons and duration compared to 2022/4, but it has been updated after 2 years.
Download Links :
File Password(s): www.downloadly.ir
File Size:
6.99 GB
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