📁 Folder Tree
- 📁 AWS Certified Big Data - Specialty
- 📂 CHAPTER 01 Introduction
- 📂 01-01 What Does Legacy Mean
- 📂 01-02 Exam Blue Print
- 📂 01-03 How Was This Course Created
- 📂 01-04 Disclaimer - This Course Will Not Guarantee That You Will Pass Your Exam!
- 📂 01-05 What You’ll Need, To Do This Course
- 📂 01-06 Generating a Dataset
- 📂 CHAPTER 02 Domain 1 - Collection
- 📂 02-01 Kinesis Streams Introduction
- 📂 02-02 Kinesis Streams Core Concepts
- 📂 02-03 Kinesis Streams Emitting Data to AWS Services
- 📂 02-04 Kinesis Firehose
- 📂 02-05 SQS
- 📂 02-06 IoT
- 📂 02-07 Data Pipeline
- 📂 02-08 Getting Data into AWS
- 📂 CHAPTER 03 Domain 2 - Storage
- 📂 03-01 Glacier
- 📂 03-02 DynamoDB Introduction
- 📂 03-03 DynamoDB Partitions
- 📂 03-04 DynamoDB GSI
- 📂 03-05 DynamoDB Streams and Replication
- 📂 03-06 DynamoDB Performance Deep Dive Part 1
- 📂 03-07 DynamoDB Performance Deep Dive Part 2
- 📂 CHAPTER 04 Domain 3 - Processing
- 📂 04-01 EMR Introduction
- 📂 04-02 Apache Hadoop Part 1
- 📂 04-03 Apache Hadoop Part 2
- 📂 04-04 EMR Architecture Part 1
- 📂 04-05 EMR Architecture Part 2
- 📂 04-06 EMR Operations Part 1
- 📂 04-07 EMR Operations Part 2
- 📂 04-08 EMR Operations Part 3
- 📂 04-09 EMR Operations Part 4
- 📂 04-10 Using Hue with EMR
- 📂 04-11 Hive on EMR
- 📂 04-12 HBase on EMR
- 📂 04-13 Presto on EMR
- 📂 04-14 Spark on EMR Part 1
- 📂 04-15 Spark on EMR Part 2
- 📂 04-16 EMR File Storage and Compression
- 📂 04-17 EMR Lab
- 📂 04-18 Lambda in the AWS Big Data Ecosystem
- 📂 04-19 HCatalog
- 📂 04-20 Glue
- 📂 04-21 Glue Lab
- 📂 CHAPTER 05 Domain 4 - Analysis
- 📂 05-01 Introduction to Redshift
- 📂 05-02 Redshift Architecture
- 📂 05-03 Redshift in the AWS Ecosystem
- 📂 05-04 Columnar Databases
- 📂 05-05 Redshift Table Design - Introduction
- 📂 05-06 Redshift Table Design - Distribution Styles
- 📂 05-07 Redshift Table Design - Sort Keys
- 📂 05-08 Redshift Table Design - Data Types
- 📂 05-09 Redshift Table Design - Compression
- 📂 05-10 Redshift Table Design - Constraints
- 📂 05-11 Redshift Table Design - Review Design
- 📂 05-12 Redshift Workload Management
- 📂 05-13 Redshift Loading Data Part 1
- 📂 05-14 Redshift Data Loading Part 2
- 📂 05-15 Redshift Loading Data Part 3
- 📂 05-16 Redshift Loading Data Part 4
- 📂 05-17 Redshift Maintenance and Operations Part 1
- 📂 05-18 Redshift Maintenance and Operations Part 2
- 📂 05-19 Redshift Lab
- 📂 05-20 Machine Learning Introduction
- 📂 05-21 Machine Learning Multiclass Classification Model
- 📂 05-22 Machine Learning Binary Classification Model
- 📂 05-23 Machine Learning Regression Model
- 📂 05-24 Machine Learning Lab
- 📂 05-25 Elasticsearch
- 📂 05-26 RStudio
- 📂 05-27 RStudio Lab
- 📂 05-28 Athena
- 📂 05-29 Athena Lab
- 📂 CHAPTER 06 Domain 5 - Visualization
- 📂 06-01 QuickSight Introduction
- 📂 06-02 QuickSight Visualization
- 📂 06-03 Big Data Visualization
- 📂 06-04 Microstrategy
- 📂 CHAPTER 07 Domain 6 - Security
- 📂 07-01 EMR Security
- 📂 07-02 Redshift Security
- 📂 CHAPTER 08 Good Luck!
- 📂 08-01 Exam Strategy
- 📂 08-02 Good Luck!