Udemy - Data Engineering using AWS Analytics Services

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[ FreeCourseWeb.com ] Udemy - Data Engineering using AWS Analytics Services
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Introduction to the course
    • 001 Introduction to Data Engineering using AWS Analytics Services.en.srt (8.7 KB)
    • 001 Introduction to Data Engineering using AWS Analytics Services.mp4 (32.1 MB)
    02 Setup Local Environment for Practice
    • 001 Setup Jupyter Lab using Docker.en.srt (9.3 KB)
    • 001 Setup Jupyter Lab using Docker.mp4 (15.6 MB)
    • 002 [Instructions and Code] Setup Jupyter Lab using Docker.html (1.9 KB)
    • 003 Understanding Jupyter Lab Environment.en.srt (2.5 KB)
    • 003 Understanding Jupyter Lab Environment.mp4 (7.9 MB)
    • 004 [Instructions] Understanding Jupyter Lab Environment.html (1.6 KB)
    • 005 Install Python boto3.en.srt (2.6 KB)
    • 005 Install Python boto3.mp4 (9.8 MB)
    • 006 [Instructions and Code] Install Python boto3.html (1.4 KB)
    • 007 Running Shell Commands.en.srt (2.6 KB)
    • 007 Running Shell Commands.mp4 (10.2 MB)
    • 008 [Instructions] Running Shell Commands.html (1.1 KB)
    • 009 Install AWS CLI.en.srt (6.5 KB)
    • 009 Install AWS CLI.mp4 (24.8 MB)
    • 010 [Instructions and Code] Install AWS CLI.html (1.4 KB)
    03 Setup Environment for Practice using Cloud9
    • 001 Getting Started with Cloud9.en.srt (5.0 KB)
    • 001 Getting Started with Cloud9.mp4 (19.6 MB)
    • 002 Creating Cloud9 Environment.en.srt (7.9 KB)
    • 002 Creating Cloud9 Environment.mp4 (27.7 MB)
    • 003 Warming up with Cloud9 IDE.en.srt (5.9 KB)
    • 003 Warming up with Cloud9 IDE.mp4 (17.3 MB)
    • 004 Overview of EC2 related to Cloud9.en.srt (2.6 KB)
    • 004 Overview of EC2 related to Cloud9.mp4 (9.4 MB)
    • 005 Opening ports for Cloud9 Instance.en.srt (5.3 KB)
    • 005 Opening ports for Cloud9 Instance.mp4 (18.3 MB)
    • 006 Associating Elastic IPs to Cloud9 Instance.en.srt (6.8 KB)
    • 006 Associating Elastic IPs to Cloud9 Instance.mp4 (28.8 MB)
    • 007 Increase EBS Volume Size of Cloud9 Instance.en.srt (5.6 KB)
    • 007 Increase EBS Volume Size of Cloud9 Instance.mp4 (18.2 MB)
    • 008 Setup Jupyter lab on Cloud9 Instance.en.srt (11.6 KB)
    • 008 Setup Jupyter lab on Cloud9 Instance.mp4 (42.2 MB)
    04 AWS Getting Started
    • 001 Introduction - AWS Getting Started.en.srt (6.0 KB)
    • 001 Introduction - AWS Getting Started.mp4 (25.3 MB)
    • 002 [Instructions] Introduction - AWS Getting Started.html (1.6 KB)
    • 003 Create s3 Bucket.en.srt (6.0 KB)
    • 003 Create s3 Bucket.mp4 (25.3 MB)
    • 004 [Instructions] Create s3 Bucket.html (1.8 KB)
    • 005 Create IAM Group and User.en.srt (7.8 KB)
    • 005 Create IAM Group and User.mp4 (27.2 MB)
    • 006 Overview of Roles.en.srt (3.8 KB)
    • 006 Overview of Roles.mp4 (15.0 MB)
    • 007 Create and Attach Custom Policy.en.srt (7.5 KB)
    • 007 Create and Attach Custom Policy.mp4 (29.6 MB)
    • 008 [Instructions and Code] Create and Attach Custom Policy.html (2.2 KB)
    • 009 Configure and Validate AWS CLI.en.srt (7.7 KB)
    • 009 Configure and Validate AWS CLI.mp4 (30.1 MB)
    • 010 [Instructions and Code] Configure and Validate AWS CLI.html (1.7 KB)
    05 Development Lifecycle for Pyspark
    • 001 Setup Virtual Environment and Install Pyspark.en.srt (7.7 KB)
    • 001 Setup Virtual Environment and Install Pyspark.mp4 (37.8 MB)
    • 002 Getting Started with Pycharm.en.srt (7.8 KB)
    • 002 Getting Started with Pycharm.mp4 (29.7 MB)
    • 003 Passing Run Time Arguments.en.srt (8.8 KB)
    • 003 Passing Run Time Arguments.mp4 (29.9 MB)
    • 004 Accessing OS Environment Variables.en.srt (6.8 KB)
    • 004 Accessing OS Environment Variables.mp4 (23.9 MB)
    • 005 Getting Started with Spark.en.srt (4.0 KB)
    • 005 Getting Started with Spark.mp4 (18.7 MB)
    • 006 Create Function for Spark Session.en.srt (8.2 KB)
    • 006 Create Function for Spark Session.mp4 (41.3 MB)
    • 007 Setup Sample Data.en.srt (3.8 KB)
    • 007 Setup Sample Data.mp4 (18.5 MB)
    • 008 Read data from files.en.srt (12.8 KB)
    • 008 Read data from files.mp4 (63.6 MB)
    • 009 Process data using Spark APIs.en.srt (9.5 KB)
    • 009 Process data using Spark APIs.mp4 (43.6 MB)
    • 010 Write data to files.en.srt (11.2 KB)
    • 010 Write data to files.mp4 (44.7 MB)
    • 011 Validating Writing Data to Files.en.srt (10.8 KB)
    • 011 Validating Writing Data to Files.mp4 (50.6 MB)
    • 012 Productionizing the Code.en.srt (7.4 KB)
    • 012 Productionizing the Code.mp4 (25.5 MB)
    06 Overview of Glue Components
    • 001 Introduction - Overview of Glue Components.en.srt (4.6 KB)
    • 001 Introduction - Overview of Glue Components.mp4 (15.1 MB)
    • 002 Create Crawler and Catalog Table.en.srt (11.0 KB)
    • 002 Create Crawler and Catalog Table.mp4 (40.1 MB)
    • 003 Analyze Data using Athena.en.srt (6.5 KB)
    • 003 Analyze Data using Athena.mp4 (9.8 MB)
    • 004 Creating S3 Bucket and Role.en.srt (6.7 KB)
    • 004 Creating S3 Bucket and Role.mp4 (28.5 MB)
    • 005 Create and Run the Glue Job.en.srt (14.2 KB)
    • 005 Create and Run the Glue Job.mp4 (73.2 MB)
    • 006 Validate using Glue CatalogTable and Athena.en.srt (11.0 KB)
    • 006 Validate using Glue CatalogTable and Athena.mp4 (46.3 MB)
    • 007 Create and Run Glue Trigger.en.srt (6.5 KB)
    • 007 Create and Run Glue Trigger.mp4 (24.6 MB)
    • 008 Create Glue Workflow.en.srt (10.2 KB)
    • 008 Create Glue Workflow.mp4 (45.1 MB)
    • 009 Run Glue Workflow and Validate.en.srt (9.2 KB)
    • 009 Run Glue Workflow and Validate.mp4 (43.4 MB)
    07 Setup Spark History Server for Glue Jobs
    • 001 Introduction - Spark History Server for Glue.en.srt (2.7 KB)
    • 001 Introduction - Spark History Server for Glue.mp4 (11.5 MB)
    • 002 Setup Spark History Server on AWS.en.srt (12.3 KB)
    • 002 Setup Spark History Server on AWS.mp4 (53.4 MB)
    • 003 Clone AWS Glue Samples repository.en.srt (2.9 KB)
    • 003 Clone AWS Glue Samples repository.mp4 (14.5 MB)

Description

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.



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Udemy - Data Engineering using AWS Analytics Services

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Udemy - Data Engineering using AWS Analytics Services

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