Amazon DynamoDB: Advanced Developer's Guide

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SkillBakery Studio

6:00:30

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1. Introduction

1. Introduction.mp4

03:45

2. What you should know.mp4

02:40

2. Key Concepts and Pricing

1. NoSQL versus relational DBs.mp4

13:10

2. DynamoDB versus MongoDB.mp4

04:22

3. Data modeling in DynamoDB.mp4

04:07

4. Composite keys and sort keys.mp4

03:37

5. Pricing and capacity planning in DynamoDB.mp4

06:20

6. Demo- DynamoDB costs in the AWS Pricing Calculator.mp4

08:06

7. Creating secondary indexes in DynamoDB- GSI and LSI.mp4

03:55

3. DynamoDB Fundamentals

1. Creating a DynamoDB table in the AWS admin console.mp4

05:53

2. Data Types in DynamoDB.mp4

02:43

3. Items and Attributes.mp4

02:48

4. Accessing DynamoDB

1. Using the AWS Management Console.mp4

14:53

2. Installing the AWS CLI.mp4

11:25

3. SDK Options.mp4

05:59

4. DynamoDB Local.mp4

09:26

5. Introduction to NoSQL Workbench.mp4

11:34

5. Working with Items

1. Scanning.mp4

16:04

2. Querying.mp4

09:33

3. Put, Update and Delete Item.mp4

06:15

4. Batch Operations.mp4

03:45

6. Monitoring and Metrics

1. Console Metrics and Cloud Watch.mp4

07:59

2. Alerts and Alarms.mp4

08:16

3. Errors and Codes.mp4

05:27

7. Table Performance

1. Provisioned vs On-Demand Capacity Modes.mp4

06:19

2. Auto Scaling.mp4

03:11

3. Create set of Tables in DynamoDB.html

8. Table Indexes

1. Index - Recap.mp4

04:54

2. Creating Indexes using AWS Management Console.mp4

08:03

3. Creating Indexes using NoSQL Worekbench.mp4

10:43

4. Sparse Indexes.mp4

02:00

5. Importing Tables using AWS Database Migration Services.mp4

09:32

9. Backup and Recovery

1. On-Demand vs. Continuous (PITR) Backup.mp4

05:14

10. Advanced Performance and Scaling Considerations

1. Offloading Large Attribute Values to S3.mp4

03:32

2. Scaling, Adaptive Capacity and Hot and Cold Partition Imbalance.mp4

05:23

11. Data Consistency and Management

1. Conditional and Update Expressions.mp4

04:16

2. Transactions.mp4

04:58

3. Time to Live (TTL).mp4

04:33

12. Data Resilience , Security and Encryption

1. Global Tables.mp4

05:42

2. Encryption.mp4

04:25

3. DynamoDB VPC endpoints.mp4

05:12

4. Optimize the table structure.html

13. Streams and Triggers

1. Streams.mp4

07:26

2. Triggers - Exploring Streams Use Cases.mp4

12:16

14. Node.js and DynamoDB

1. Creating tables in DynamoDB using Node.js.mp4

07:30

2. Inserting data into DynamoDB using Node.js.mp4

02:34

3. Querying data using Node.js.mp4

02:31

4. Understanding Streams.mp4

05:54

15. ASP.Net Core with DynamoDB

1. Performing CRUD operations using ASP.Net Core with DynamoDB.mp4

07:57

16. Python with DynamoDB

1. Create Tables using Python - Boto3.mp4

04:09

2. Import Data to a table using JSON file.mp4

01:53

3. CRUD Operations.mp4

05:17

17. Implementing High-Performance Architectures

1. Static Data Dumps (Streams to Static Files).mp4

04:52

2. DynamoDB Accelerator (DAX) Architecture.mp4

13:23

3. SQS Write Buffer.mp4

09:04

18. Advanced Security

1. Federated and Fine-Grained Access.mp4

05:57

2. Auditing Admin Access Using CloudTrail.mp4

09:48

3. Optimize the table structure - version 3.html

19. Conclusion

1.1 ExcerciseFilesDynamoDB.zip

1. Conclusion and Code Download.html

Description

Mastering DynamoDB Data Modeling, Performance Optimization, and Security Best Practices

What You'll Learn?

Understanding DynamoDB
Data Modeling in DynamoDB
Composite Key and Sort Key
Secondary Indexes
Data Types in DynamoDB
Access Patterns and Querying
Cost Management
Security and Fine-Grained Access Control
CloudTrail and Monitoring
Performance Optimization
Transactions and Consistency
Advanced Topics

Who is this for?

Developers and Software Engineers

AWS Enthusiasts

Database Administrators

AWS Certification Candidates

Technical Decision-Makers

Students and Learners

What You Need to Know?

Basic AWS Knowledge

Programming Experience

AWS Account

Basic Database Knowledge

Internet Access

AWS CLI and SDKs (Optional)

More details

Description
Unlock the full potential of Amazon DynamoDB with our comprehensive course, the "Amazon DynamoDB: Advanced Developer's Guide." In this advanced-level program, you'll dive deep into DynamoDB and learn to harness its capabilities for building highly scalable, high-performance, and secure applications. Whether you're a developer, database administrator, or technical decision-maker, this course will equip you with the expertise to excel in the world of NoSQL databases and AWS.
Key Course Highlights:
1. Master Data Modeling: Learn how to design efficient data models tailored to your application's needs. Understand the nuances of composite keys, sort keys, and secondary indexes to optimize data retrieval.
2. Performance Optimization: Discover strategies to enhance DynamoDB performance, including adaptive capacity management, sharding, and DynamoDB Accelerator (DAX).
3. Security Best Practices: Implement fine-grained access control using AWS Identity and Access Management (IAM) policies to secure your data. Explore encryption at rest and in transit.
4. Working with Multiple Programming Languages:
Node.js: Develop DynamoDB applications using Node.js and the AWS SDK. Perform tasks such as creating tables, inserting data, and querying.
Python: Dive into DynamoDB with Python. Write code to manage tables, interact with items, and leverage the powerful Boto3 library.
ASP.NET Core: Explore DynamoDB within ASP.NET Core applications. Learn how to integrate DynamoDB with .NET and create robust web applications.
5. Cost Optimization: Understand DynamoDB pricing and gain insights into controlling costs. Learn to fine-tune capacity units to match your application's requirements.
6. Real-world Projects: Apply your knowledge to real-world scenarios and projects. Build dynamic, scalable applications that make the most of DynamoDB's capabilities.
7. DynamoDB Streams: Learn how to capture and process changes to your DynamoDB data in real-time using DynamoDB Streams.
8. Cross-Region Replication: Discover advanced features like cross-region replication to ensure high availability and disaster recovery.
9. Practical Labs: Enrich your learning through hands-on labs and exercises. Experience the power of DynamoDB in action.
10. Monitoring and Auditing: Use AWS CloudTrail to track and monitor your DynamoDB activities, ensuring the security and compliance of your applications.
This advanced developer's guide provides you with the skills and confidence to create robust, scalable, and secure applications powered by Amazon DynamoDB. Harness the full potential of this NoSQL database and unleash your AWS development prowess.
Join us on this journey to becoming a DynamoDB expert. Enroll now to unlock a world of possibilities in application development!
Note: Prerequisites may apply, and a basic understanding of AWS is recommended for this course.
Who this course is for:
Developers and Software Engineers
AWS Enthusiasts
Database Administrators
AWS Certification Candidates
Technical Decision-Makers
Students and Learners

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