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Data Stream Development with Apache Spark, Kafka, and Spring Boot
Data Stream Development with Apache Spark, Kafka, and Spring Boot

Data Stream Development with Apache Spark, Kafka, and Spring Boot: Architect and implement an end-to-end data streaming pipeline

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Profile Icon Anghel Leonard
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Video Nov 2018 7hrs 51mins 1st Edition
Video
₱7042.99
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Free Trial
Arrow left icon
Profile Icon Anghel Leonard
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Free Trial
Video Nov 2018 7hrs 51mins 1st Edition
Video
₱7042.99
Subscription
Free Trial
Video
₱7042.99
Subscription
Free Trial

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Key benefits

  • Comprehensive coverage of Apache Spark, Kafka, and Spring Boot integration
  • Hands-on demonstrations and practical examples
  • Expert insights and best practices
  • Real-world applications and use cases

Description

Today, organizations have a difficult time working with huge numbers of datasets. In addition, data processing and analyzing need to be done in real time to gain insights. This is where data streaming comes in. As big data is no longer a niche topic, having the skillset to architect and develop robust data streaming pipelines is a must for all developers. In addition, they also need to think of the entire pipeline, including the trade-offs for every tier. This course starts by explaining the blueprint architecture for developing a completely functional data streaming pipeline and installing the technologies used. With the help of live coding sessions, you will get hands-on with architecting every tier of the pipeline. You will also handle specific issues encountered working with streaming data. You will input a live data stream of Meetup RSVPs that will be analyzed and displayed via Google Maps. By the end of the course, you will have built an efficient data streaming pipeline and will be able to analyze its various tiers, ensuring a continuous flow of data. Please note: The link meetup.com is not functional anymore. Here are a few alternatives for free WebSocket streaming endpoints : Finnhub offers a free WebSocket endpoint for streaming real-time stock market data. https://finnhub.io/docs/api/websocket-trades EOD Historical Data also offers a free WebSocket endpoint for streaming real-time stock market data. https://github.com/EodHistoricalData PieSocket offers a free tier of WebSockets that allows you to connect up to 100 clients. https://www.piesocket.com/blog/tag/realtime Socket.IO also offers a free tier of WebSockets that allows you to connect up to 100 clients. https://socket.io/ They can be used by adapting the course code. The principles are the same. All the code and supporting files for this course are available at https://github.com/PacktPublishing/-Data-Stream-Development-with-Apache-Spark-Kafka-and-Spring-Boot

Who is this book for?

This course is perfect for Java developers and architects who want to design and write data streaming pipelines. Having knowledge of the Spring framework will be an added benefit.

What you will learn

  • Analyze real-time data streams
  • Deploy collection and message queuing tiers
  • Establish a robust data access tier with MongoDB
  • Implement powerful analysis tiers using Apache Spark
  • Ensure fault tolerance and mitigate data loss

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 30, 2018
Length: 7hrs 51mins
Edition : 1st
Language : English
ISBN-13 : 9781789539585
Vendor :
Apache
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Nov 30, 2018
Length: 7hrs 51mins
Edition : 1st
Language : English
ISBN-13 : 9781789539585
Vendor :
Apache
Category :
Languages :
Concepts :

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Frequently bought together


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Table of Contents

5 Chapters
Introducing Data Streaming Architecture Chevron down icon Chevron up icon
Deployment of Collection and Message Queuing Tiers Chevron down icon Chevron up icon
Proceeding to the Data Access Tier Chevron down icon Chevron up icon
Implementing the Analysis Tier Chevron down icon Chevron up icon
Mitigate Data Loss between Collection, Analysis and Message Queuing Tiers Chevron down icon Chevron up icon
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