Serverless Kafka for Data in Motion as Rescue for Data at Rest in the Data Lake
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Serverless Kafka in a Cloud-native Data Lake Architecture

Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use a serverless Kafka SaaS offering to focus on business logic. However, hybrid scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden. This blog post explores how to leverage cloud-native and serverless Kafka offerings in a hybrid cloud architecture. We start from the perspective of data at rest with a data lake and explore its relation to data in motion with Kafka.
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Book Review: “Getting Started with NoSQL” by Gaurav Vaish (Packt Publishing)

“Getting Started with NoSQL” is a new book by PACKT PUBLISHING. It gives an introduction to different NoSQL concepts and products. Besides, it explains the differences to SQL databases and when to use which one. With 150 pages, the book is not extensive, but sufficient. It is a good introduction to NoSQL databases for developers, architects and decision makers.
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