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Amazon Kinesis Data Streams

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May 11, 2024 4 minute read

Amazon Kinesis Data Streams is a real-time data ingestion service that enables you to capture and process large volumes of fast-moving data streams. It simplifies data collection from sources such as website click-streams, sensor data, social media feeds, and log files, enabling you to build applications that require real-time processing.

Why Learn Amazon Kinesis Data Streams?

There are several compelling reasons to learn Amazon Kinesis Data Streams:

Real-Time Data Processing: Kinesis Data Streams enables you to process data in real time, allowing you to respond to business events, customer interactions, or system alerts as they occur. This real-time processing capability is essential for modern applications that require instant insights and rapid decision-making.

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon Kinesis Data Streams.
Provides a comprehensive introduction to Amazon Kinesis Data Streams, including its architecture, features, and use cases. It is written by an expert in the field and valuable resource for anyone looking to learn more about this technology.
Provides a comprehensive overview of real-time data processing technologies, including Amazon Kinesis Data Streams. It covers topics such as data streaming, data processing, and data analytics, and valuable resource for anyone looking to learn more about this field.
Provides a comprehensive overview of Apache Hadoop, which key technology for processing large amounts of data. While it does not cover Amazon Kinesis Data Streams specifically, it provides valuable insights into the broader field of big data processing.
Provides a comprehensive overview of data analytics using Apache Spark, which popular technology for processing large amounts of data. While it does not cover Amazon Kinesis Data Streams specifically, it provides valuable insights into the broader field of big data processing.
Provides a comprehensive overview of real-time data analysis using Apache Spark, which popular technology for processing large amounts of data. While it does not cover Amazon Kinesis Data Streams specifically, it provides valuable insights into the broader field of big data processing.
Provides a comprehensive overview of real-time data processing using Azure Cosmos DB, which popular technology for processing large amounts of data. While it does not cover Amazon Kinesis Data Streams specifically, it provides valuable insights into the broader field of big data processing.
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