Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách Building Real-Time Analytics Systems From Events to Insights with Apache Kafka and Apache Pinot (Sách keo gáy, bìa mềm)
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.
You will:
• Learn common architectures for real-time analytics
• Discover how event processing differs from real-time analytics
• Ingest event data from Apache Kafka into Apache Pinot
• Combine event streams with OLTP data using Debezium and Kafka Streams
• Write real-time queries against event data stored in Apache Pinot
• Build a real-time dashboard and order tracking app
• Learn how Uber, Stripe, and Just Eat use real-time analytics
Categories:Computers - Databases
Computers - Applications & Software
Year:2023
Edition:1
Language:english
Pages:221
