Amazon DynamoDB is a fully managed NoSQL Database. It's used by many customers, including Amazon.com. Once again, we will discuss the features of DynamoDB, how to use it effectively, and the data modeling Here's some information to learn more about techniques and more.

In this Amazon DynamoDB session, we cover newly announced features and provide an end-to-end view of recent innovations. Come to this session to learn all about what’s new for DynamoDB.

This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this session summarize a collection of implementations and best practices leveraged by Amazon.com to deliver highly scalable solutions for a wide variety of business problems. The session also covers strategies for global secondary index sharding and index overloading, scalable graph processing with materialized queries, relational modeling with composite keys, and executing transactional workflows on DynamoDB. 

Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to build and evolve applications faster. However, some developers find that managing databases can be time-consuming, complicated, and challenging to scale. Amazon DocumentDB (with MongoDB compatibility) provides a fast, reliable, fully managed MongoDB-compatible database service that eliminates time-consuming setup and management tasks, allowing developers to focus on building high-performance, scalable applications. Join us to learn more about Amazon DocumentDB and how you can run MongoDB workloads at scale.

The Amazon ElastiCache team has been hard at work innovating on behalf of customers. In this session, we review the work that has been done to make sure that ElastiCache is the most cost-effective and best performing Redis- and Memcached-compatible cloud service

Amazon DocumentDB is a fast, scalable, highly available MongoDB-compatible database service. In this session we’ll discuss advanced design patterns, data modeling, and go into more depth on use-cases. 

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. In this session, we review how Neptune is optimized for storing billions of relationships and querying the graph with milliseconds latency. You also get a deep dive into the capabilities of the service and a review of the latest available features.

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. In this session we’ll talk about the latest feature releases.

In this session we’ll discuss advanced design patterns, data modeling, and go into more depth on use-cases. 

In this session we’ll discuss advanced design patterns, data modeling, and go into more depth on use-cases. 

In this session, we discuss Amazon QLDB’s unique journal-first architecture along with its various innovations. Topics include cryptographic hashing, Merkle trees, Multi-AZ availability, PartiQL support, and much more.

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. In this session, we’ll talk about the latest feature releases.

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. In this session we’ll discuss advanced design patters, data modeling, and go into more depth on use-cases.