Amazon DynamoDB- Advanced Developer Guide

Amazon DynamoDB: Advanced Developers Guide, available at $49.99, has an average rating of 1, with 56 lectures, based on 1 reviews, and has 19 subscribers.

You will learn about 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 This course is ideal for individuals who are Developers and Software Engineers or AWS Enthusiasts or Database Administrators or AWS Certification Candidates or Technical Decision-Makers or Students and Learners It is particularly useful for Developers and Software Engineers or AWS Enthusiasts or Database Administrators or AWS Certification Candidates or Technical Decision-Makers or Students and Learners.

Enroll now: Amazon DynamoDB: Advanced Developers Guide

Summary

Title: Amazon DynamoDB: Advanced Developers Guide

Price: $49.99

Average Rating: 1

Number of Lectures: 56

Number of Published Lectures: 56

Number of Curriculum Items: 59

Number of Published Curriculum Objects: 59

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

Developers and Software Engineers

AWS Enthusiasts

Database Administrators

AWS Certification Candidates

Technical Decision-Makers

Students and Learners

Target Audiences

Developers and Software Engineers

AWS Enthusiasts

Database Administrators

AWS Certification Candidates

Technical Decision-Makers

Students and Learners

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What you should know

Chapter 2: Key Concepts and Pricing

Lecture 1: NoSQL versus relational DBs

Lecture 2: DynamoDB versus MongoDB

Lecture 3: Data modeling in DynamoDB

Lecture 4: Composite keys and sort keys

Lecture 5: Pricing and capacity planning in DynamoDB

Lecture 6: Demo- DynamoDB costs in the AWS Pricing Calculator

Lecture 7: Creating secondary indexes in DynamoDB- GSI and LSI

Chapter 3: DynamoDB Fundamentals

Lecture 1: Creating a DynamoDB table in the AWS admin console

Lecture 2: Data Types in DynamoDB

Lecture 3: Items and Attributes

Chapter 4: Accessing DynamoDB

Lecture 1: Using the AWS Management Console

Lecture 2: Installing the AWS CLI

Lecture 3: SDK Options

Lecture 4: DynamoDB Local

Lecture 5: Introduction to NoSQL Workbench

Chapter 5: Working with Items

Lecture 1: Scanning

Lecture 2: Querying

Lecture 3: Put, Update and Delete Item

Lecture 4: Batch Operations

Chapter 6: Monitoring and Metrics

Lecture 1: Console Metrics and Cloud Watch

Lecture 2: Alerts and Alarms

Lecture 3: Errors and Codes

Chapter 7: Table Performance

Lecture 1: Provisioned vs On-Demand Capacity Modes

Lecture 2: Auto Scaling

Chapter 8: Table Indexes

Lecture 1: Index – Recap

Lecture 2: Creating Indexes using AWS Management Console

Lecture 3: Creating Indexes using NoSQL Worekbench

Lecture 4: Sparse Indexes

Lecture 5: Importing Tables using AWS Database Migration Services

Chapter 9: Backup and Recovery

Lecture 1: On-Demand vs. Continuous (PITR) Backup

Chapter 10: Advanced Performance and Scaling Considerations

Lecture 1: Offloading Large Attribute Values to S3

Lecture 2: Scaling, Adaptive Capacity and Hot and Cold Partition Imbalance

Chapter 11: Data Consistency and Management

Lecture 1: Conditional and Update Expressions

Lecture 2: Transactions

Lecture 3: Time to Live (TTL)

Chapter 12: Data Resilience , Security and Encryption

Lecture 1: Global Tables

Lecture 2: Encryption

Lecture 3: DynamoDB VPC endpoints

Chapter 13: Streams and Triggers

Lecture 1: Streams

Lecture 2: Triggers – Exploring Streams Use Cases

Chapter 14: Node.js and DynamoDB

Lecture 1: Creating tables in DynamoDB using Node.js

Lecture 2: Inserting data into DynamoDB using Node.js

Lecture 3: Querying data using Node.js

Lecture 4: Understanding Streams

Chapter 15: ASP.Net Core with DynamoDB

Lecture 1: Performing CRUD operations using ASP.Net Core with DynamoDB

Chapter 16: Python with DynamoDB

Lecture 1: Create Tables using Python – Boto3

Lecture 2: Import Data to a table using JSON file

Lecture 3: CRUD Operations

Chapter 17: Implementing High-Performance Architectures

Lecture 1: Static Data Dumps (Streams to Static Files)

Lecture 2: DynamoDB Accelerator (DAX) Architecture

Lecture 3: SQS Write Buffer

Chapter 18: Advanced Security

Lecture 1: Federated and Fine-Grained Access

Lecture 2: Auditing Admin Access Using CloudTrail

Chapter 19: Conclusion

Lecture 1: Conclusion and Code Download

Instructors

SkillBakery Studio
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