Databricks is a powerful tool for processing data. This is big data, so how do we thing about implementing DevOps practices for these environments?

Knowing how Azure Data Factory is meant to be used, we can look at how to implement automation to validate and deploy the code from one environment to another.

Azure Data Factory provides some great features to make it quick and easy to load and transform data. Did you know it supports DevOps practices?

Blockchain solutions are definitely becoming more popular. Not content to be just a currency, it is finding its way into more business scenarios. It may seem unusual, but that includes Azure SQL Database. Why would we use blockchain technology in a database? That’s what today’s article will explore!

You know you want a blob storage solution. You know the basics of Azure Blob Storage. In today’s post, learn how Azure Data Lake Storage Gen2 enhances the experience and creates a foundation for big data.

Once you understand how to ingest data from an external service, it’s time to store it somewhere. This article will explore some of the options and considerations.

The first step in building your modern data warehouse is to ingest the data. Let’s learn how.

Trying to learn how to manage cloud scale data? Read the first of a series of articles walking through the principles of the MDW architecture.