Udemy – Data Engineering Master Class Using AWS Analytics Services 2022

Description

Data Engineering Master Class using AWS Analytics Services is the name of the Data Engineering Master Class using AWS Analytics Services published by Udemy Academy.

Data engineering is all about creating data pipelines to get data from multiple sources into data lakes or data warehouses and then from the data lakes or data warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using the AWS Data Analytics Stack. It includes services like Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, EMR, Kinesis and many others.

Here are the high level steps you will follow as part of the course.

Setting up the development environment
Getting Started with AWS
Storage – All About AWS s3 (Simple Storage Service)
User-level security – Manage users, roles, and policies using IAM
Infrastructure – AWS EC2 (Elastic Cloud Compute)
Ingest data using AWS Lambda functions
Overview of AWS adhesive components
Start the Spark History server for AWS Glue Jobs
Deep dive into the AWS glue catalog
Explore AWS Glue Job APIs
AWS sticky bookmarks
Pyspark development life cycle
Getting Started with AWS EMR
Deploying Spark applications using
AWS EMR flow pipeline using AWS Kinesis
Consuming data from AWS s3 using boto3 Consumed using AWS Kinesis
Populate GitHub data to AWS Dynamodb
Overview of Amazon AWS Athena
Amazon AWS Athena using Amazon’s AWS CLI
AWS Athena using Python boto3
Getting Started with Amazon AWS Redshift
Copy data from AWS s3 to AWS Redshift tables
Develop applications using AWS Redshift Cluster
AWS Redshift tables with AWS Distkey and Sortkey
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 the Data Engineering Master Class using AWS Analytics Services course:

Data engineering using AWS Analytics AWS Essentials features such as s3, IAM, EC2, etc
Understanding AWS s3 for cloud-based storage
Understanding the details of virtual machines in AWS known as EC2
Manage AWS IAM users, groups, roles, and policies for RBAC (Role-Based Access Control)
Manage tables using the AWS Glue
Engineering batch data pipelines using AWS Glue Jobs
Setting up batch data pipelines using AWS Glue Workflows
Running queries using AWS Athena – Server Search Engine Service
Using AWS Elastic Map Reduce (EMR) clusters to build data pipelines
Using AWS Elastic Map Reduce (EMR) clusters for reports and dashboards
Ingest data using AWS Lambda functions
And….

Course details

Publisher: Udemy
Instructor: Durga Viswanatha Raju Gadiraju, Asasri Manthena , Perraju Vegiraju
Language: English
Education level: Advanced
Number of lessons: 434
Duration of education: 26 hours 15 minutes

Headlines of Data Engineering Master Class using AWS Analytics Services:

Data Engineering Master Class Course prerequisites:

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

Data Engineering Master Class Course pictures:

Installation guide

After Extract, view with your desired Player.

English subtitle

Quality: 720p

Follow On Facebook
Follow On Tumblr
Follow On Linkedin
Follow On Twitter

Udemy – Data Engineering Master Class using AWS Analytics Services 2022