Data engineering in the cloud has revolutionized the way organizations store, process, and analyze data. Snowflake, as a leading cloud data platform, offers unique capabilities that data engineers need to master to build efficient, scalable, and cost-effective data solutions.
Here are some key lessons, guided by the knowledge within Snowflake Data Engineering, on leveraging Snowflake for maximum effect.
Automating API Delivery offers practical guidance for making an APIOps transformation, including process improvement methods.
From Road to Kubernetes by Justin Mitchel Deploying software can be a complex and challenging process, and the rise of technologies like Kubernetes has added another layer of complexity. Many developers perceive Kubernetes as too complicated for their deployment needs…. Continue Reading →
Design and develop Spring applications that are secure from the start with Spring Security in Action, Second Edition by Laurentiu Spilca.
Learn how to build resilient and scalable, cloud-native, enterprise Java applications using the Quarkus framework.
This book, written by the leader of the Red Hat team that created Podman, teaches readers how to use Podman: a next-generation container engine that is easier to use and provides superior security over Docker and other container engines.
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.
This book jumps right into building microservices, giving you just enough knowledge to build, while not getting mired in theory.
Chapters selected by David Clinton
From Azure Storage, Streaming, and Batch Analytics
By Richard L. Nuckolls
