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Amazon DynamoDB Data Modeling for Architects & Developers
Introductions
Your Instructor (1:13)
Getting the most from this course (4:31)
Tools, Local Development Environment
Setup Local DynamoDB and NoSQL Workbench (5:26)
Exercise: NoSQL Workbench walkthrough (6:00)
Exercise: Use CLI, Workbench with Local Table (2:35)
Setup IDE and Git Repository (2:13)
Amazon DynamoDB Fundamentals
DynamoDB : A Logical View (6:15)
Table capacity fundamentals (8:09)
Table capacity modes (8:50)
Exercise: Try out the capacity modes (1:01)
Item Attributes & Data Types (10:31)
Exercise: Create a test model (0:58)
DynamoDB Operations (5:58)
Control Plane Operations (4:42)
CRUD: Create API
Writes : Under the hood (6:13)
API: PutItem, BatchWriteItem, Condition Expressions (7:14)
Exercise: Add Items to Student Table (1:26)
CRUD: Retrieve API
Reads : Under the hood (7:24)
API: GetItem, BatchGetItem, Scan (10:08)
Queries : Under the hood (6:15)
Queries & Key Condition Expression (4:22)
CRUD: Update & Delete API
Update & Delete : Under the hood (3:38)
API: UpdateItem (8:26)
API: DeleteItem (2:28)
CRUD : PartiQL Queries
CRUD : PartiQL Statements & API (8:18)
DynamoDB Secondary Indexes
Indexes : Under the hood (13:06)
Local Secondary Index (LSI) (4:56)
Hands-On: Local Secondary Index (5:10)
Global Secondary Index (GSI) (5:44)
Hands-On: Global Secondary Index (3:05)
Hands-On: Model the game player (4:30)
Single Table Design
Single Table Vs. Multiple Table Design (8:09)
Single table modeling process (3:22)
Case Study : ACME Bank
ACME Bank Transformation Journey (3:19)
ERD and Access patterns (3:42)
Modeling : Entities
How to model an entity? (7:00)
Hands-On: Design the Customer Entity (4:40)
Modeling : Primary Keys
Patterns for primary key (10:57)
Hands-On: Apply best practices for key (3:35)
Modeling : One to Many Relationships
Patterns for one-to-many relationships (7:52)
Analyze : Customer-Account Relationship (5:21)
Hands-On: Embedding with Secondary Index (4:12)
Modeling : Secondary Indexes
Hands-On: Add index for accessing customer on account (3:04)
Hands-On: Model the transaction entity (4:30)
Analysis : Taking advantage of sparse indexes (6:39)
Hands-On: Add a sparse index for Customer-Txns (5:53)
Analysis : Taking advantage of Index Overloading (1:55)
Hands-On: Implement Overloaded GSI for Customer & Transaction (5:15)
Modeling : Many-to-Many Relationship
Adjacency List Pattern (5:51)
Analysis : Customer-Offer Relationship (3:44)
Hands-On: Apply adjacency pattern to customer-offer relationship (4:30)
Modeling : Preventing Hot Partitions
Hot Partitions & Sharding patterns (8:44)
Hands-On : Address hot partition issue (4:51)
Modeling : Efficient Scans
Hands-On: Experimenting with parallel scan (6:36)
Analysis : Scan Vs. GSI for for txns in date range (4:05)
ACID Transactions
What are ACID Transactions? (6:45)
API: TransactWriteItems (4:16)
Hands-On: TransactWriteItems API (6:33)
TransactWriteItems Idempotence (7:21)
API : TransactGetItems (2:43)
Modeling : Transactions
Hands-On : Running counters (4:32)
Hands-On : Credit Transactions (8:31)
Hands-On: Debit Transaction (4:31)
DynamoDB Streams
DynamoDB Streams (10:09)
Shards & Stream Reader Application (8:31)
Hands-On: Experiment with Streams API (0:23)
Hands-On: Tryout API with Python (3:04)
Time to Live (TTL)
Time to Live feature (4:19)
Hands-On: Try out TTL (2:05)
Modeling : DynamoDB Streams
Modeling : Setup daily report (8:52)
Modeling : Archival of Transactions (5:08)
What are ACID Transactions?
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