Category: Application Design
Using Elasticsearch Connector with Ingest Node Pipeline
Recently, as I was exploring our documentation to acquaint myself with the capabilities of Elasticsearch Connector 4.2, I came across a configuration called Pipeline. I was curious to explore and understand what it means and what purpose does this solve....
FIRST CLASS SQL for FULL-TEXT SEARCH
Over time, the database industry has realized full-text search and SQL are two sides of the same coin. Text search needs further query processing, query processing needs text search to efficiently filter for text patterns. The SQL databases have added...
Example Architectures for Data Intensive Applications.
…a drawing should have no unnecessary lines and a machine no unnecessary parts. —William Strunk Jr., Elements of Style In the book Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann has written about traits...
Implement FHIR REST server with Couchbase
This is a follow up to my previous post that covered the topic of FHIR Data Model with Couchbase N1QL. In this blog, I will discuss the topic of how to implement the FHIR Search REST API Server over the...
Couchbase Eventing: small scripts that solve big problems
Eventing Simple Yet Powerful: Eventing allows small scripts to overcome hard to solve problems. If you are familiar with both Couchbase and Eventing please feel free to skip the brief overview and skip ahead to the examples. Overview: First off, let’s...
Implementing a robust portable cron like scheduler via Couchbase Eventing (Part 1)
This is the first of a multi-part series to leverage the Couchbase Eventing Service to run multiple scheduled tasks at specific recurring intervals in a cron like fashion completely inside the database without requiring additional infrastructure via a single general-purpose...
The Series on Time Series (in Couchbase): Episode 1
What Is This About So, you have a time series use case? So do I, and this blog article is the proof of it. When I learn about a new subject, I like using the method of loci to memorize...
Flexible Query & Indexing for Flexible JSON Model.
Use N1QL when you’re in a JSON pickle. — Confucius For the JSON data model, the advice is to think of collections as tables, JSON document as denormalized rows and field names as columns – roughly. All this holds in...
Replication in NoSQL document databases (Mongo DB vs Couchbase)
Replication has been a crucial part of Database Systems for decades for providing availability and disaster recovery. In recent times, with the evolution of distributed databases to address the need for highly available, scalable and globally distributed deployments operating across...
SQL to NoSQL – 7 Metrics to Compare Query Language
Organizations who want to take advantage of the many benefits of NoSQL document databases, often find that they have two challenges: How to convert their RDBMS schemas to leverage the schema-less document model. Learn a new API/Query to access the...