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Serverless Data Processing

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May 1, 2024 3 minute read
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Serverless data processing is a topic that deals with the processing and analysis of large amounts of data without the need for managing servers or infrastructure. This is achieved through the use of cloud-based services that provide the necessary resources for data processing, such as Google Cloud Dataflow, Apache Beam, and Amazon Kinesis. Serverless data processing offers several advantages over traditional data processing methods, including scalability, cost-effectiveness, and ease of use.

The Benefits of Serverless Data Processing

There are several benefits to using serverless data processing for your data processing needs. These benefits include:

Path to Serverless Data Processing

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We've curated four courses to help you on your path to Serverless Data Processing. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected three 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 Serverless Data Processing.
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Learn AWS Serverless Computing
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Introduces IBM Cloud Functions, a serverless platform for IBM Cloud, and shows how to use it for data processing.
Learn AWS Serverless Computing
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Learn AWS Serverless Computing
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Getting Started Guide
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Provides a comprehensive guide to Amazon Kinesis, a fully managed streaming data platform. It covers topics such as data ingestion, transformation, and analytics. It is an essential read for anyone looking to get started with serverless data processing on AWS.
Getting Started Guide
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Getting Started Guide
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Microservices Patterns
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Provides a collection of patterns for designing and implementing serverless data processing solutions. It covers topics such as data ingestion, transformation, and analytics. It is an essential read for anyone looking to build scalable, fault-tolerant data processing pipelines.
Microservices Patterns: With examples in Java
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Microservices Patterns: With examples in Java
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