Amazon DynamoDB: Advanced Developer's Guide
Amazon DynamoDB: Advanced Developer's 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 Developer's Guide
Summary
Title: Amazon DynamoDB: Advanced Developer's 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:
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Node.js: Develop DynamoDB applications using Node.js and the AWS SDK. Perform tasks such as creating tables, inserting data, and querying.
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Python: Dive into DynamoDB with Python. Write code to manage tables, interact with items, and leverage the powerful Boto3 library.
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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
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SkillBakery Studio
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