Dave Thomas, the co-author of pragmatic programmer, said he doesn’t usually test unless it’s a complex algorithm. What it means that everyone has a different approach and should not force their way. Agile became an industry. It became unnecessarily complex. The solution suggested is the below. Agility – What to do Find out where you… Continue reading Agile is Dead by Dave Thomas in a page
Introduction to NoSQL in one page
The data model of NoSQL NoSQL emerged to solve the problem of the difficulty of running SQL on a cluster. i.e. scaling out. This leads me to think that if you can handle the amount of data, Big Data, in a single SQL box, you may not need NoSQL. Most NoSQL, as described below as… Continue reading Introduction to NoSQL in one page
Cosmos DB Data Model example
Cosmos Db is not a relational database, but we can use it for relational data, for example, eCommerce data. A few key patterns for successful data modeling in Cosmos DB are Select partition key wisely: Consider max document size, max partition size, and the most common query pattern. Choose the partition to let the query… Continue reading Cosmos DB Data Model example
Cloud can be productive but is not cheap
For the new project to analyze Edgar document, which is where companies in the US announces their annual report, quarterly report, etc by law. Many investors consider this data as a valuable investment data resource. Challenge Volume: To analyze the Edgar document, the volume is the first challenge. The number of announcements in Edgar is… Continue reading Cloud can be productive but is not cheap
Azure Event service cheat sheet
Storage Queue: Queue. large and slow messages. e.g. dead-letter event. Service Bus: Transactional message. At-most-once delivery. Event Hub: IoT, log data, stream data Event Grid: Link events from the event source to the event handler (e.g. function). Pub/Sub. 1 to Many delivery.