Ken W. Alger

31 results

Quick Start: BSON Data Types - Decimal128

Working with decimal numbers can be a challenge. The Decimal128 BSON data type allows for high precision options when working with numbers.

January 16, 2020

MongoDB Atlas Data Lake Setup

Learn how to setup your MongoDB Atlas Data Lake connection to explore data stored in AWS S3 buckets.

November 22, 2019

Quick Start: BSON Data Types - ObjectId

MongoDB provides an automatic unique identifier for the _id field in the form of an ObjectId data type.

November 12, 2019

Quick Start: C# and MongoDB - Delete operations

We've Created, Read and Updated documents with C#, now we're going to look at Deleting documents in MongoDB.

October 25, 2019

Quick Start: C# and MongoDB - Update Operations

So far we've created and read data in the C# and now we're ready to get updating as we work through the letters of CRUD.

October 2, 2019

Quick Start: C# and MongoDB - Read Operations

We've written to MongoDB in C#, now we are ready to read in the Quick Start C# and MongoDB series.

September 27, 2019

Quick Start: C# and MongoDB - Creating Documents

Quick Start your C# development and get to know how to create documents in MongoDB

September 20, 2019

Quick Start: C# and MongoDB - Starting and Setup

Get up and running with MongoDB and C# quickly with the first in our Quick Start C# series. This week, getting ready to connect and code.

September 11, 2019

Atlas Data Lake and MongoDB Compass - Connected

Learn about MongoDB Atlas Data Lake and how you can use MongoDB Compass to query data in AWS S3 thanks to Data Lake's MQL support

September 3, 2019

JSON Schema Validation - Dependencies you can depend on

Being able to define a schema based on other properties can be a great benefit in that it can move application logic into the database itself. In this article, we go beyond basic schema and array validation and look at how we define these dependencies.

July 5, 2019

JSON Schema Validation - Checking Your Arrays

In a previous post , I discussed some of the methods that can be used to “lock down” the schema in your MongoDB documents. In this second part of this series, I’ll continue on with techniques beyond simple required field and value validation. We’ll explore how to further benefit from MongoDB’s document model and see how to apply another validation technique to arrays.

May 9, 2019

Building with Patterns: A Summary

As we wrap up the Building with Patterns series, it’s a good opportunity to recap the problems the patterns that have been covered solve and highlight some of the benefits and trade-offs each pattern has. The most frequent question that is asked about schema design patterns, is “I’m designing an application to do X, how do I model the data?” As we hope you have discovered over the course of this blog series, there are a lot of things to take into consideration to answer that.

April 26, 2019