January 17, 2023

Retail and e-commerce using Azure Database for MySQL

Build secure and scalable e-commerce solutions that meet customer and business demands by using Azure Database for MySQL.
January 17, 2023

Retail and e-commerce using Azure Database for PostgreSQL

Build secure and scalable e-commerce solutions that meet customer and business demands by using Azure Database for PostgreSQL.
January 17, 2023

Streaming using HDInsight

Ingest and process millions of streaming events per second with Apache Kafka, Apache Storm, and Apache Spark Streaming.
January 17, 2023

Messaging

Azure Cache for Redis routes real-time messages in publish and subscribe systems. It also scales up web communication frameworks like Azure SignalR Service.
January 12, 2023

Gridwich Azure DevOps setup

Learn how to set up Azure DevOps Projects, repos, pipelines, variable groups, and Azure connections for Gridwich.
January 6, 2023

Update a resource in an ARM template

Learn about how to extend the functionality of Azure Resource Manager templates to update a resource.
January 6, 2023

Transformer and collector ARM template

Describes how to implement a property transformer and collector in an Azure Resource Manager template.
January 4, 2023

Claim-Check pattern

Examine the Claim-Check pattern, which splits a large message into a claim check and a payload to avoid overwhelming a message bus.
December 31, 2022

Loan credit risk and default modeling

SQL Server 2016 with R Services can help lenders issue fewer unprofitable loans by predicting borrower credit risk and default probability.
December 31, 2022

Predict loan charge-offs with HDInsight Spark

By using Azure HDInsight, a lending institution can use machine learning to predict the likelihood of loans getting charged off.
December 31, 2022

Interactive querying with HDInsight

Use Apache Hive low-latency analytical processing (LLAP) to perform fast, interactive SQL queries at scale, over structured or unstructured data.
December 21, 2022

Minimal storage – change feed to replicate data

Architecture for a high-availability solution that uses two Azure storage services, one for quick access to high-demand data, the other for low-demand data.