This excerpt covers cybersecurity as an infinite game, the shared responsibility model, Azure security services, the threat landscape, cloud security challenges, the Zero Trust security model, and the defense in depth concept.
From Data Engineering on Azure by Vlad Riscutia
This article talks about building identity keyrings
In this video, seasoned IT professional Richard Nuckolls dives into writing and running Azure Data Lake Analytics jobs.
By Vlad Riscutia
This is an excerpt from chapter 2 of my book — Data Engineering on Azure — which deals with storage. In this article we’ll look at a few aspects of data ingestion: frequency and load type, and how we can handle corrupted data. We’ll use Azure Data Explorer as the storage solution, but keep in mind that the same concepts apply regardless of the data fabric used. Code samples are omitted from this article, but are available in the book. Let’s start by looking at the frequency with which we ingest data.
This is an excerpt from a draft of chapter 10 of my book, Azure Data Engineering, which deals with compliance. In this article we’ll look at a few techniques to transform sensitive user data into less sensitive data. In the book, this includes code samples for implementation on Azure Data Explorer, which are omitted from this article. Let’s start with a couple of definitions.
From Azure Storage, Streaming, and Batch Analytics by Richard Nuckolls
This article discusses using Azure Data Lake Analytics (ADLA) for batch queries.
From Learn Azure in a Month of Lunches, Second Edition by Iain Foulds
From Azure Storage, Streaming, and Batch Analytics by Richard Nuckolls
This article discusses Azure Cloud Services and it’s components.
Six Questions for Cornelia Davis, author of Cloud Native Patterns
Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she’s spent the last 25 years making good software and great software developers.