5:00 PM - 6:30 PM (UTC)

Azure Cosmos DB for PostgreSQL provides a highly scalable distributed database solution, reliably and securely managed on Azure. To efficiently ingest and querying data with distributed tables, it's essential to understand how data is distributed across shards in the cluster. Learning objectives: Identify data ingestion techniques in Azure Cosmos DB for PostgreSQL Run queries on distributed data in Azure Cosmos DB for PostgreSQL Examine ways to view data distribution

5:00 PM - 6:30 PM (UTC)

Use PostgreSQL extensions to enhance and extend the functionality of Azure Cosmos DB for PostgreSQL. PostgreSQL allows you to extend the functionality of a database by using extensions. Extensions allow for bundling multiple related SQL objects together in a single package that can be loaded or removed from the database with a single command. After being loaded in the database, extensions can function like built-in features. Learning objectives: Install different extensions available in Azure Cosmos DB for PostgreSQL Extend the functionality of an Azure Cosmos DB for PostgreSQL database using extensions

5:00 PM - 6:30 PM (UTC)

Azure Cosmos DB for PostgreSQL provides a highly scalable distributed database solution, reliably and securely managed on Azure. Scaled resources, read replication, and data availability can be managed to improve performance in Azure Cosmos DB for PostgreSQL. Learning objectives: Scale and rebalance data in an Azure Cosmos DB for PostgreSQL cluster to accommodate data growth Add a read replica to a region in Azure Cosmos DB for PostgreSQL to address analytics demans Configure high availability for Azure Cosmos DB for PostgreSQL to ensure data is available when the users need it

5:00 PM - 6:30 PM (UTC)

Azure Cosmos DB for PostgreSQL can scale from a single-node, non-distributed cluster to a multi-node, distributed cluster with minimal downtime. When starting out with small amounts of data, it makes sense to start with a single node. However, as time goes on, data needs to scale for growth. By understanding the process of going from a single-node cluster to a multi-node cluster, you will be able to take advantage of growing your data with Azure Cosmos DB for PostgreSQL. Learning objectives: Create a single node instance of Azure Cosmos DB for PostgreSQL Identify changes to upgrade an existing single-node, non-distributed cluster to a multi-node, distributed cluster Scale the database and distribute the data across multiple nodes

5:00 PM - 6:30 PM (UTC)

Azure Cosmos DB for PostgreSQL provides a powerful data platform for multi-tenant SaaS applications. Starting from a single-node instance, multi-tenant databases can be horizontally scaled to a multi-node distributed cluster of up to 20 servers to meet the demands of tenant growth. Learning objectives: Prepare tables in a single-node database for distribution Transition from a single-node to a multi-node database in Azure Cosmos DB for PostgreSQL Distribute multi-tenant tables with minimal application impact Monitor utilization of multi-tenant databases in Azure Cosmos DB for PostgreSQL