Spies have been using physical "Dead Drops" to exchange information securely for decades. This method of communication has become possible online with recent cryptographic advances.
Lambda Architecture is one of the most useful frameworks to design big data applications and distributed data processing systems like social network platforms.
In this article, we will take a look at the power of saying No — having the flexibility and willingness to stand by what is important and speak your mind.
As the media industry joins others by adopting AI to improve user experience, many developers are facing new challenges and higher stakes on the backend.
This article contains a series of top 8 recommended books to improve your programming skills. Each book is an addition to a developer's skills and an interesting read. From concurrency, design patterns, refactoring, and microservices this list covers it all.
This blog post explores why a single real-time pipeline, called Kappa architecture, is the better fit and the role of batch processing in it without requiring Lambda.
A metadata-driven UI provides project teams with element alignment by invoking a single endpoint for data. Here's how to build your own metadata-driven UI.
MicroStream is a fundamentally new persistence framework for storing complex Java object graphs natively, which means the object graph is stored on disk as it is in RAM.
How to configure a Redshift Airbyte source and a Snowflake Airbyte destination, and create an Airbyte connection that automatically migrates data to Snowflake.
Data fabric is a viable strategy to help overcome the barriers that previously made it hard to access data and process it in a distributed data environment.
In this article, we will focus on which is the most appropriate big data store for high-scale, real-time, operational use cases – data fabric vs data lake.
Some scenarios in microservice-based architecture involve multiple microservices. Read how completion of the scenario depends on the task completion of each microservice.