Category: Data Modeling
Data Modeling for Couchbase with erwin DM NoSQL
Given the architecture and design of NoSQL systems, especially the document family databases like Couchbase that do not enforce schema on write, data modeling for NoSQL can often be challenging when migrating from relational systems to NoSQL or when building...
A Guide to N1QL features in Couchbase 5.5: Special Edition
N1QL was first released with Couchbase 4.0 in the fall of 2015. After two and a half years, it’s great to release Couchbase 5.5 and this N1QL 5.5 feature booklet with it at the New York Couchbase Connect. This special...
Tutorial: Get Started with Couchbase Lite 2.0 as an embedded NoSQL Database in a Swift App
Couchbase Mobile 2.0 brings the power of NoSQL JSON Document Store to iOS, Android and .Net Mobile Platforms. With Couchbase Mobile, you can build mobile applications with offline-only and offline-first capabilities. Couchbase Mobile supports flexible deployment options. You can deploy...
New Features in Index Service in Couchbase Server 5.5
In the last major release, Couchbase Server 5.0, we introduced Plasma – New Storage Engine and also the support for Index Replicas in the Index Service. We have continued to build on these new features in our upcoming release. The themes...
Proof of Concept: Making a case to move from relational
Proof of concept may be just what you need to start when you’re evaluating Couchbase. We’ve been blogging a lot about the technical side of moving from a relational database like Oracle or SQL Server to Couchbase. Here are some...
Couchbase for Oracle developers — Part 3 : Database Objects
Here’s the home page for the series: https://blog.couchbase.com/couchbase-oracle-developers-part-1-overview/ Oracle DBAs work with clusters, machines, storage systems, disks, etc. Oracle developers and their applications work with databases, tables, rows, columns, partitions, users, data types within the Oracle database system. Let’s compare and...
JSON Modeling for RDBMS Users (video)
JSON modeling was covered in a previous blog post which was, in turn, based on a CSV import blog post that came before that. While writing the post on JSON modeling, it occurred to me that it might be useful...
JSON Data Modeling for RDBMS Users
JSON data modeling is a vital part of using a document database like Couchbase. Beyond understanding the basics of JSON, there are two key approaches to modeling relationships between data that will be covered in this blog post. The examples...
Comparing Couchbase Views with Couchbase N1QL & Indexing.
As Couchbase data platform evolved, services like N1QL and GSI Indexing handled the use cases Couchbase VIEWS used to handle and much more. It’s logical to ask the comparative question between them. Here is a table comparing both. This is...
Aggregate grouping with N1QL or with MapReduce
Aggregate grouping is what I’m titling this blog post, but I don’t know if it’s the best name. Have you ever used MySQL’s GROUP_CONCAT function or the FOR XML PATH('') workaround in SQL Server? That’s basically what I’m writing about...