Udemy - Data Engineering using AWS Analytics Services torrent

Data Engineering using AWS Analytics Services



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 124 lectures (9h 35m) | Size: 3.61 GB
Build Data Engineering Pipelines using AWS Analytics Services such as Glue, EMR, Athena, Kinesis, Quick Sight, etc
What you'll learn:
Data Engineering leveraging AWS Analytics features
Managing Tables using Glue Catalog
Engineering Batch Data Pipelines using Glue Jobs
Orchestrating Batch Data Pipelines using Glue Workflows
Running Queries using 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 Lambda Functions
Scheduling using Events Bridge
Engineering Streaming Pipelines using Kinesis
Streaming Web Server logs using Kinesis Firehose

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

Description
Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lake or Data Warehouse and then from Data Lake or Data Warehouse to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, QuickSight, and many more.

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