Название: Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot (Final)
Автор: Mark Needham
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 218
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 10.1 MB
Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service. Tools and platforms such as Apache Kafka (for data streaming), Apache Flink (stream processing), Apache Pinot (data analytics) and Apache Superset (data visualization) provide an excellent foundation for real-time analytics and have seen a tremendous uptake over the last years. At the same time, getting started with implementing your first use cases can be challenging, and you might ask yourself questions such as these: Which tools to choose for which purpose? How to put the individual pieces together for a coherent solution?
Автор: Mark Needham
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 218
Язык: английский
Формат: True EPUB (Retail Copy)
Размер: 10.1 MB
Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service. Tools and platforms such as Apache Kafka (for data streaming), Apache Flink (stream processing), Apache Pinot (data analytics) and Apache Superset (data visualization) provide an excellent foundation for real-time analytics and have seen a tremendous uptake over the last years. At the same time, getting started with implementing your first use cases can be challenging, and you might ask yourself questions such as these: Which tools to choose for which purpose? How to put the individual pieces together for a coherent solution?