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Streaming Big Data with Spark Streaming, Scala, and Spark 3!
Streaming Big Data with Spark Streaming, Scala, and Spark 3!

Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Learn to process massive streams of data in real-time on a cluster with Apache Spark Streaming

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Profile Icon Frank Kane
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Video Aug 2022 6hrs 21mins 1st Edition
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Arrow left icon
Profile Icon Frank Kane
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$19.99 per month
Video Aug 2022 6hrs 21mins 1st Edition
Video
$9.99 $99.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$9.99 $99.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Process streams of real-time data from various sources with Spark Streaming
  • Query your streaming data in real-time using Spark SQL
  • A comprehensive tutorial with practical examples to help you develop real-time Spark applications

Description

In this course, you will learn the basics of the Scala programming language; learn how Apache Spark operates on a cluster; set up discretized streams with Spark Streaming and transform them as data is received; analyze streaming data over sliding windows of time; maintain stateful information across streams of data; connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis; dump streams of data in real-time to NoSQL databases such as Cassandra; run SQL queries on streamed data in real-time; train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time; and also, package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce. This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you will be confidently creating Spark Streaming scripts in Scala and be prepared to tackle massive streams of data in a whole new way. You will be surprised at how easy Spark Streaming makes it! All the codes and supporting files for this course are available at https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-

Who is this book for?

If you are a student who wants to learn how to use Apache Spark or a big data professional who wants to process large amounts of data on a real-time basis, this course is for you. Some basic programming and scripting experience is required to get the most out of the course.

What you will learn

  • Process large amounts of real-time data using the Spark Streaming module
  • Create efficient Spark applications using the Scala programming language
  • Integrate Spark Streaming with various data sources
  • Integrate Spark Streaming with Spark SQL to query your data in real time
  • Train machine learning models with streaming data, and use for real-time predictions
  • Maintain stateful data across a continuous stream of input data

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Aug 26, 2022
Publication date : Sep 26, 2016
Length: 6hrs 21mins
Edition : 1st
Language : English
ISBN-13 : 9781787123915
Vendor :
Apache
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Languages :
Concepts :

What do you get with a Packt Subscription?

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Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
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Subscribe now
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Product Details

Last updated date : Aug 26, 2022
Publication date : Sep 26, 2016
Length: 6hrs 21mins
Edition : 1st
Language : English
ISBN-13 : 9781787123915
Vendor :
Apache
Category :
Languages :
Concepts :

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Frequently bought together


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Scala and Spark for Big Data Analytics
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Streaming Big Data with Spark Streaming, Scala, and Spark 3!
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Table of Contents

9 Chapters
Getting Started Chevron down icon Chevron up icon
A Crash Course in Scala Chevron down icon Chevron up icon
Spark Streaming Concepts Chevron down icon Chevron up icon
Spark Streaming Examples with Twitter Chevron down icon Chevron up icon
Spark Streaming Examples with Clickstream / Apache Access Log Data Chevron down icon Chevron up icon
Integrating with Other Systems Chevron down icon Chevron up icon
Advanced Spark Streaming Examples Chevron down icon Chevron up icon
Spark Streaming in Production Chevron down icon Chevron up icon
You Made It! Chevron down icon Chevron up icon
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