Mastering AWS DynamoDB: A Beginner’s Guide

Explore the DynamoDB table creation process in AWS. Define a primary key with a partition key and optional sort key, configure attributes, and learn about billing mode and capacity options.

Define a DynamoDB primary key with a partition key and optional sort key to support common queries, ensure even data distribution, and test performance locally or with the AWS CLI.

DynamoDB provides provisioned and on demand capacity, enabling predictable performance for stable traffic or automatic scaling for variable usage, helping you select the best mode for your tables.

Explore how DynamoDB secondary indexes, including global and local indexes, boost query flexibility and performance by indexing attributes beyond the primary key, while balancing design choices and costs.

Learn to create a DynamoDB table named student with partition key student ID and sort key student name, configure on-demand mode and backups, then insert records with attributes.

Create tables in AWS DynamoDB using the PyCharm IDE, gaining hands-on guidance for beginners on practical table creation and configuration.

Explore writing data to DynamoDB using boto3 in Python. Learn the DynamoDB data model with tables, items, and attributes, and perform create, update, and delete operations.

Explore how to scan data in DynamoDB, filter and sort results, and handle pagination using the AWS SDK with boto3, mastering projection expressions and last evaluated keys.

Master batch operations in DynamoDB to perform multiple reads and writes in one API call, boosting performance and reducing costs. Learn batch write and batch get with transactional consistency.

Execute hands-on practice inserting values through pycham community to reinforce AWS DynamoDB concepts from a beginner’s guide.

Update items in a DynamoDB table using update item operation and update expressions (set, remove, add, delete). Apply conditional expressions, optimistic locking, and transact write items for reliability.

Learn how to delete items in DynamoDB with the delete item operation, specifying the primary key (partition key or partition+sort key) and optional conditional expressions to enforce rules.

Master conditional writes in dynamodb with conditional expressions to perform atomic updates, enabling optimistic locking, data validation, and robust data integrity for concurrent workloads.

Engage in a hands-on session updating values in AWS DynamoDB using the PyCharm Community Edition.

Delete values in AWS DynamoDB using PyCharm Community Edition in a hands-on session designed for beginners.

Set up IAM roles for DynamoDB by creating an IAM role, attaching policies like Amazon DynamoDB Full Access or Read Only Access, and assigning the role to your application.

Apply fine grained access control in DynamoDB by using IAM policies to grant granular read, write, and query permissions on tables and items, including the leading keys condition key.

Set up IAM roles for DynamoDB with hands-on exercises to manage permissions securely and enable smooth access to your AWS resources.