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TORRENT DETAILS

[FreeCoursesOnline.Me] [Packt] Data Stream Development With Apache Spark, Kafka, And Spring Boot [FCO]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	8761965864f37e2b118f2f91acb656ab2ddfe51f
Size:	2.6 GB in 56 files
Release Date(s):	Torrent Release: 08-11-2019 by user
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DESCRIPTION

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Forum for discussion >>> https://1hack.us/

By: Anghel Leonard

Released: November 30, 2018

Caption (CC): Included

Torrent Contains: 61 Files, 1 Folders

Course Source: https://www.packtpub.com/application-development/data-stream-development-apache-spark-kafka-and-spring-boot-video

Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline

Video Details

ISBN 9781789539585

Course Length 7 hours 51 minutes

Table of Contents

• Introducing Data Streaming Architecture

• Deployment of Collection and Message Queuing Tiers

• Proceeding to the Data Access Tier

• Implementing the Analysis Tier

• Mitigate Data Loss between Collection, Analysis and Message Queuing Tiers

Learn

• Attain a solid foundation in the most powerful and versatile technologies involved in data streaming: Apache Spark and Apache Kafka

• Form a robust and clean architecture for a data streaming pipeline

• Implement the correct tools to bring your data streaming architecture to life

• Isolate the most problematic tradeoff for each tier involved in a data streaming pipeline

• Query, analyze, and apply machine learning algorithms to collected data

• Display analyzed pipeline data via Google Maps on your web browser

• Discover and resolve difficulties in scaling and securing data streaming applications

About

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.

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

Style and Approach

This course is a combination of text, a lot of images (diagrams), and meaningful live coding sessions. Each topic covered follows a three-step structure: first, we have some headlines (facts); second, we continue with images (diagrams) meant to provide more details; and finally we convert the text and images into code written in the proper technology.

Features:

• From blueprint architecture to complete code solution, this course treats every important aspect involved in architecting and developing a data streaming pipeline

• Select the right tools and frameworks and follow the best approaches to designing your data streaming framework

• Build an end-to-end data streaming pipeline from a real data stream (Meetup RSVPs) and expose the analyzed data in browsers via Google Maps

Author

Anghel Leonard

Anghel Leonard is currently a Java chief architect. He is a member of the Java EE Guardians with 20+ years’ experience. He has spent most of his career architecting distributed systems. He is also the author of several books, a speaker, and a big fan of working with data.

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FILE LIST

Filename		Size
	0. Websites you may like/How you can help Team-FTU.txt	229 B
	1. The Course Overview.mp4	41 MB
	1. The Course Overview.vtt	6.7 KB
	10. Introducing Our Data Access Tier – MongoDB.mp4	48.8 MB
	10. Introducing Our Data Access Tier – MongoDB.vtt	10.3 KB
	11. Exploring Spring Reactive.mp4	118 MB
	11. Exploring Spring Reactive.vtt	23.1 KB
	12. Exposing the Data Access Tier in Browser.mp4	59.5 MB
	12. Exposing the Data Access Tier in Browser.vtt	9.7 KB
	13. Diving into the Analysis Tier.mp4	96.3 MB
	13. Diving into the Analysis Tier.vtt	18.2 KB
	14. Streaming Algorithms For Data Analysis.mp4	135.6 MB
	14. Streaming Algorithms For Data Analysis.vtt	25.5 KB
	15. Introducing Our Analysis Tier – Apache Spark.mp4	75.8 MB
	15. Introducing Our Analysis Tier – Apache Spark.vtt	16.6 KB
	16. Plug-in Spark Analysis Tier to Our Pipeline.mp4	64.7 MB
	16. Plug-in Spark Analysis Tier to Our Pipeline.vtt	8.9 KB
	17. Brief Overview of Spark RDDs.mp4	136.7 MB
	17. Brief Overview of Spark RDDs.vtt	22.1 KB
	18. Spark Streaming.mp4	209.9 MB
	18. Spark Streaming.vtt	25.5 KB
	19. DataFrames, Datasets and Spark SQL.mp4	141.5 MB
	19. DataFrames, Datasets and Spark SQL.vtt	20 KB
	2. Discovering the Data Streaming Pipeline Blueprint Architecture.mp4	92.6 MB
	2. Discovering the Data Streaming Pipeline Blueprint Architecture.vtt	17.3 KB
	20. Spark Structured Streaming.mp4	182.7 MB
	20. Spark Structured Streaming.vtt	29.9 KB
	21. Machine Learning in 7 Steps.mp4	134.4 MB
	21. Machine Learning in 7 Steps.vtt	19.5 KB
	22. MLlib (Spark ML).mp4	174.6 MB
	22. MLlib (Spark ML).vtt	23.4 KB
	23. Spark ML and Structured Streaming.mp4	185.1 MB
	23. Spark ML and Structured Streaming.vtt	22.3 KB
	24. Spark GraphX.mp4	41.7 MB
	24. Spark GraphX.vtt	6.7 KB
	25. Fault Tolerance (HML).mp4	182.6 MB
	25. Fault Tolerance (HML).vtt	26.9 KB
	26. Kafka Connect.mp4	25.2 MB
	26. Kafka Connect.vtt	4.3 KB
	27. Securing Communication between Tiers.mp4	89.8 MB
	27. Securing Communication between Tiers.vtt	9.7 KB
	28. Test Your Knowledge.html	167 B
	3. Analyzing Meetup RSVPs in Real-Time.mp4	27.1 MB
	3. Analyzing Meetup RSVPs in Real-Time.vtt	6.3 KB
	4. Running the Collection Tier (Part I – Collecting Data).mp4	101.8 MB
	4. Running the Collection Tier (Part I – Collecting Data).vtt	21.7 KB
	5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.mp4	39.2 MB
	5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.vtt	7 KB
	6. Explaining the Message Queuing Tier Role.mp4	27.5 MB
	6. Explaining the Message Queuing Tier Role.vtt	6.4 KB
	7. Introducing Our Message Queuing Tier – Apache Kafka.mp4	112.3 MB
	7. Introducing Our Message Queuing Tier – Apache Kafka.vtt	24.4 KB
	8. Running The Collection Tier (Part II – Sending Data).mp4	75.8 MB
	8. Running The Collection Tier (Part II – Sending Data).vtt	14.4 KB
	9. Dissecting the Data Access Tier.mp4	78.5 MB
	9. Dissecting the Data Access Tier.vtt	17.8 KB

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