Azure Cosmos DB for PostgreSQL

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Overview

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Module 1: In this module, you'll learn how to model, build, and alter a scalable, distributed, relational database in Azure Cosmos DB for PostgreSQL.
In this module, you will:
- Identify key considerations for modeling data for Azure Cosmos DB for PostgreSQL.
- Classify tables in Azure Cosmos DB for PostgreSQL.
- Create tables within an Azure Cosmos DB for PostgreSQL cluster.
- Alter tables within an Azure Cosmos DB for PostgreSQL cluster.
Module 2: Understand how data is distributed across Azure Cosmos DB for PostgreSQL to efficiently ingest and query data across the cluster.
By the end of this module, you'll be able to:
- 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.
Module 3: In this module, you learn how to 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.
By the end of this module, you'll be able to:
- Install different extensions available in Azure Cosmos DB for PostgreSQL.
- Extend the functionality of an Azure Cosmos DB for PostgreSQL database using extensions.
Module 4: Learn how to scale and rebalance data, create read replicas, and enable high availability on an Azure Cosmos DB for PostgreSQL cluster.
By the end of this module, you're able to:
- 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
Module 5: In this module, you learn how to grow from a single-node, nondistributed cluster to a multi-node, distributed cluster by using Azure Cosmos DB for PostgreSQL.
In this module, you'll:
- Create a single-node instance of Azure Cosmos DB for PostgreSQL.
- Identify changes to upgrade an existing single-node, nondistributed cluster to a multi-node, distributed cluster.
- Scale the database and distribute the data across multiple nodes.
Module 6: Azure Cosmos DB for PostgreSQL is the ideal database from hosting PostgreSQL at any scale. The distributed architecture allows multitenant software as a service (SaaS) application providers to easily scale from a single-node to a multi-node distributed cluster as the number of tenants grows.
By the end of this module, you'll be able to:
- Prepare tables that are in a single-node database for distribution.
- Transition from a single-node database to a multi-node database by using Azure Cosmos DB for PostgreSQL.
- Distribute multitenant tables with minimal application impact.
- Monitor the utilization of multitenant databases by using Azure Cosmos DB for PostgreSQL.

Syllabus

Module 1: Module 1: Model data for Azure Cosmos DB for PostgreSQL
- Introduction
- Classify tables based on processing
- Exercise - Create tables in Azure Cosmos DB for PostgreSQL
- Scaffold data for distribution
- Exercise - Create scaffolding in Azure Cosmos DB for PostgreSQL
- Partition time series data
- Exercise - Create time series partitions
- Alter scaffolding in a distributed environment
- Exercise - Alter scaffolding in Azure Cosmos DB for PostgreSQL
- Knowledge check
- Summary
Module 2: Module 2: Ingest and query data using Azure Cosmos DB for PostgreSQL
- Introduction
- Load data into Azure Cosmos DB for PostgreSQL distributed tables
- Exercise - Load data into distributed tables with Azure Cosmos DB for PostgreSQL
- Use coordinator metadata tables and views to understand data distribution
- Exercise - Query coordinator metadata tables to understand data distribution
- Understand distributed query execution
- Query distributed tables in Azure Cosmos DB for PostgreSQL
- Examine anti-patterns for distributed queries
- Exercise - Query distributed data using Azure Cosmos DB for PostgreSQL
- Examine unsupported features
- Knowledge check
- Summary
Module 3: Module 3: Extend the functionality of Azure Cosmos DB for PostgreSQL using extensions
- Introduction
- Examine distributed capabilities provided by Citus
- Exercise - Explore how Citus distributes tables
- Apply PostgreSQL extensions
- Understand the Azure Storage extension
- Exercise - Work with data files in Azure Blob Storage directly from Azure Cosmos DB for PostgreSQL
- Knowledge check
- Summary
Module 4: Module 4: Manage performance and availability in Azure Cosmos DB for PostgreSQL
- Introduction
- Scale and rebalance data in Azure Cosmos DB for PostgreSQL
- Exercise - Scale and rebalance data
- Work with read replicas in Azure Cosmos DB for PostgreSQL
- Exercise - Manage read replicas
- Configure high availability in Azure Cosmos DB for PostgreSQL
- Exercise - Configure high availability
- Knowledge check
- Summary
Module 5: Module 5: Scale from a single node to multiple nodes by using Azure Cosmos DB for PostgreSQL
- Introduction
- Use cases for single-node Azure Cosmos DB for PostgreSQL
- Exercise - Create a single-node cluster in Azure Cosmos DB for PostgreSQL
- Understand architecture changes when you scale in Azure Cosmos DB for PostgreSQL
- Exercise - Scale from a single node to multiple nodes in Azure Cosmos DB for PostgreSQL
- Address schema concerns when you scale to multi-node, distributed data
- Distribute tables in Azure Cosmos DB for PostgreSQL
- Exercise - Distribute data in Azure Cosmos DB for PostgreSQL
- Knowledge check
- Summary
Module 6: Module 6: Design multitenant SaaS apps by using Azure Cosmos DB for PostgreSQL
- Introduction
- Prepare tables for a multitenant data architecture
- Exercise - Prepare tables for distribution
- Distribute tables with minimal application disruption
- Exercise - Distribute multitenant tables
- Monitor tenants in a multitenant database
- Isolate tenants in a multitenant SaaS database
- Exercise - Isolate a tenant in a multitenant database
- Knowledge check
- Summary