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Streaming Data Processing

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May 11, 2024 3 minute read
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Streaming Data Processing Applications

Streaming data processing finds applications in various industries and domains, including:

  • Fraud detection: Detecting fraudulent transactions in real time.
  • Anomaly detection: Identifying unusual patterns or events in data streams.
  • Predictive analytics: Making predictions based on real-time data.

Benefits of Streaming Data Processing

There are many tangible benefits to learning about streaming data processing and its associated skills and knowledge. Some of these benefits include:

Path to Streaming Data Processing

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We've curated two courses to help you on your path to Streaming 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 six 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 Streaming Data Processing.
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Stream Processing with Apache Flink
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Provides a deep dive into Apache Flink, a popular open source framework for stream processing. It covers the core concepts of Flink, as well as advanced topics such as state management, fault tolerance, and performance tuning.
Stream Processing with Apache Flink
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Stream Processing with Apache Flink
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Big Data Analytics with Spark
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Provides a comprehensive overview of big data analysis using Hadoop and Spark. It covers both the theoretical and practical aspects of big data analysis, and includes a chapter on streaming data processing.
Big Data Analytics with Spark
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Big Data Analytics with Spark
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Advanced Analytics with Spark
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Provides a comprehensive overview of advanced analytics with Spark. It covers streaming data processing, graph processing, and machine learning.
Advanced Analytics with PySpark: Patterns for...
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Advanced Analytics with Spark: Patterns for...
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Advanced Analytics with Spark: Patterns for...
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Advanced Analytics with Spark: Patterns for...
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High Performance Spark
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Provides a comprehensive overview of high-performance Spark. It covers the fundamentals of Spark, as well as advanced topics such as streaming data processing, graph processing, and machine learning.
High Performance Spark: Best Practices for Scaling...
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High Performance Spark: Best Practices for Scaling...
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Machine Learning with Spark
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Provides a comprehensive overview of stream processing with Java. It covers the fundamentals of stream processing, as well as advanced topics such as windowing, state management, and fault tolerance.
Machine Learning with Spark - Second Edition:...
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Machine Learning with Spark - Second Edition
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Learning Spark
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Provides a comprehensive overview of stream processing with Java. It covers the fundamentals of stream processing, as well as advanced topics such as windowing, state management, and fault tolerance.
Learning Spark: Lightning-Fast Big Data Analysis
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Relevant careers
Data Engineer
Data Scientist
Machine Learning Engineer
Related topics
Data Analytics
Big Data
Cloud Computing
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