Remove Apache-Flink
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Spark vs. Flink: Key Differences and How to Choose

Dataversity

Apache Spark is an open-source, distributed computing system that provides a fast and scalable framework for big data processing and analytics. The Spark architecture is designed to handle data processing tasks across large clusters of computers, offering fault tolerance, parallel processing, and in-memory data storage capabilities.

Big Data 246
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What Is AWS Kinesis? From Basics to Advanced

Whizlabs

Amazon Kinesis Data Analytics is also an important aspect in AWS Kinesis, especially for analyzing data streams with Apache Flink or SQL. Kinesis Data Firehose supports standard-based formats such as Apache ORC and Apache Parquet. . Kinesis Data Analytics. Source: [link]. Amazon Kinesis Video Streams.

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Learn Aws Kinesis With Use Cases

Whizlabs

Read more on AWS Kinesis vs Apache Kafka ! AWS Kinesis is embedded with Apache Flink and SQL for processing the data streams in real-time. But with the use of AWS Kinesis, the data producers can push the data into a dedicated stream right after they are produced. Conclusion.

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Article: The Wonders of Postgres Logical Decoding Messages

InfoQ Articles

In this article, author Gunnar Morling discusses Postgres database's logical decoding function to retrieve the messages from write-ahead log, process them, and relay them to external consumers, with help of use cases like outbox, audit logs and replication slots. By Gunnar Morling

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