Data Engineering on AWS – The complete training

سرفصل های دوره

Build your confidence and credibility as data engineer, data architect, and other data-related roles on AWS Cloud

1. Introduction - Data is the new oil

1. Introduction

2. Know your trainer

1. Know your trainer

3. Getting started with Data Analytics

1.1 03a Data Engineering on AWS.pdf

1. Data Engineering on AWS

2.1 003b - Basic Terminologies.pdf

2. Basic Terminologies

4. AWS Glue - Catalog and process your data

1.1 04 -AWS Glue - Catalog and process your data.pdf

1.2 Customers and sales csv.zip

1. Glue Data Catalog

2. Glue ETL - Part 1

3. ETL Job - Part 2

4. ETL Job - Part 3

5. Workflows

6. Job Bookmark

7. Execution Type

8. Data Quality - Part 1

9. Data Quality - Part 2

10. Glue Databrew

11. Additional Features

5. Amazon Redshift - A data warehouse in AWS

1.1 005 - Amazon Redshift - A data warehouse in AWS.pdf

1. Amazon Redshift

2. Architecture

3. Creating a cluster

4. Query Editor v2

5. Distribution styles

6. Cluster operations

7. Data API

8. Redshift Spectrum

9. Redshift Serverless - Part 1

10. Redshift Serverless - Part 2

11. Materialized views

12. WLM and concurrency

13. Datashare

14. Additional information

6. Processing Streaming Data on Amazon Kinesis and Amazon MSK

1.1 006 - Processing Streaming Data on Amazon Kinesis and Amazon MSK.pdf

1. What is Streaming Data

2. Streaming Services in AWS

3. Amazon Kinesis family

4. Amazon Kinesis Data Streams

5. Capacity Mode

6. Shard Iterators

7. Kinesis Data Generator

8. Data Stream Porducers

9. Data Stream Consumer

10. Enhanced fan-out

11. Amazon Kinesis Firehose

12. Dynamic Partitioning

13. Data Stream vs. Data Firehose

14. Managed Service for Apache Flink

15. Flink Application

16. Flink Studio

17. Apache Kafka

18. Amazon Managed Service for Kafka

19. MSK Cluster

20. Kafka Topic

21. Send and receive messages

22. Amazon MSK Serverless

23. MSK Provisioned vs. Serverless

24. Amazon MSK Connect

25. Amazon Kinesis vs. Amazon MSK

7. Running Big data workloads on Amazon EMR

1.1 007 Running Big data workloads on Amazon EMR.pdf

1. What is Big data

2. Map Reduce

3. Big data ecosystem

4. Amazon EMR

5. Storage for EMR

6. Creating EMR cluster - Part 1

7. Creating EMR cluster - Part 2

8. Migration

9. Amazon EMR Serverless

10. Cost optimization

8. Building Datalakes on AWS

1.1 008 - Building Datalakes on AWS.pdf

1. What is Datalake

2. Data warehouse vs. Datalake

3. AWS Lake Formation

4. How it works

5. Setting up a Datalake - Part 1

6. Setting up a Datalake - Part 2

7. Datalake permissions

8. Tag based permissions

9. Open Table Formats

9. Query your data using Amazon Athena

1.1 009 - Query your data using Amazon Athena.pdf

1. Why to use Amazon Athena

2. How it works

3. Optimizing queries in Athena - Part 1

4. Optimizing queries in Athena - Part 2

5. Workgroups

6. Federated query - Part 1

7. Federated query - Part 2

10. Visualize your data using Amazon Quicksight

1.1 0010 - Visualize your data using Amazon Quicksight.pdf

1. Data visualization

2. Getting started

3. Integration with Amazon Athena

11. Orchestrating your data pipeline

1.1 011 - Orchestrating your data pipeline.pdf

1. Orchestrating your data pipeline

2. Which one to choose

3. Amazon AppFlow

4. AWS Data Exchange

5. AWS Step Functions - Part 1

6. AWS Step Functions - Part 2

7. AWS Step Functions - Part 3

12. Data Migration services in AWS

1. A note before you proceed

2.1 012 -Data Migration services in AWS.pdf

2. Migrating your databases to AWS

3. AWS DMS - Part 1

4. AWS DMS - Part 2

5. AWS DMS - Part 3

6. Migrating your data to AWS

7. AWS DataSync - Part 1

8. AWS DataSync - Part 2

9. AWS Transfer Family - Part 1

10. AWS Transfer Family - Part 2

11. AWS Snow Family

13. Going beyond AWS analytics services

1. A note before you proceed

2.1 013 - Going beyond AWS analytics services.pdf

2. AWS Lambda - Important features

3. AWS Lambda - Concurrency

4. AWS Lambda - Layers

5. AWS Lambda - VPC connectivity

6. AWS Lambda - Permissions

7. Amazon S3 - Encryption

8. Amazon S3 - Glacier Storage Tiers

9. Amazon S3 - Events Notification

10. Amazon S3 - Lifecycle policies

11. Amazon S3 - Intelligent Tier

12. Amazon S3 - Select

13. Amazon S3 - Object Lambda

14. Amazon EC2 - EBS volumes

15. Amazon RDS - Performance insights

16. Amazon DynamoDB - Streams

17. Amazon DynamoDB - Global tables

18. Amazon DynamoDB - Auto Scaling

14. Final note

1. Final note

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