Nulled Udemy – Apache Spark for Java Developers 2019-4

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Udemy – Apache Spark for Java Developers 2019-4

Video Tutorial

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Descriptions

Apache Spark for Java Developers, Get started with the amazing Apache Spark parallel computing framework – this course is designed especially for Java Developers. If you’re new to Data Science and want to find out about how massive datasets are processed in parallel, then the Java API for spark is a great way to get started, fast. All of the fundamentals you need to understand the main operations you can perform in Spark Core, SparkSQL and DataFrames are covered in detail, with easy to follow examples. You’ll be able to follow along with all of the examples, and run them on your own local development computer. Included with the course is a module covering SparkML, an exciting addition to Spark that allows you to apply Machine Learning models to your Big Data! No mathematical experience is necessary. And finally, there’s a full 3 hour module covering Spark Streaming, where you will get hands-on experience of integrating Spark with Apache Kafka to handle real-time big data streams. We use both the DStream and the Structured Streaming APIs. Optionally, if you have an AWS account, you’ll see how to deploy your work to a live EMR (Elastic Map Reduce) hardware cluster. If you’re not familiar with AWS you can skip this video, but it’s still worthwhile to watch rather than following along with the coding.

What you’ll learn

• Use functional style Java to define complex data processing jobs
• Learn the differences between the RDD and DataFrame APIs
• Use an SQL style syntax to produce reports against Big Data sets
• Use Machine Learning Algorithms with Big Data and SparkML
• Connect Spark to Apache Kafka to process Streams of Big Data
• See how Structured Streaming can be used to build pipelines with Kafka

Who this course is for

• Anyone who already knows Java and would like to explore Apache Spark
• Anyone new to Data Science who want a fast way to get started, without learning Python, Scala or R!

Specificatoin of Apache Spark for Java Developers

• Publisher : Udemy
• Teacher : Richard Chesterwood , Matt Greencroft , Virtual Pair Programmers
• Language : English
• Level : All Levels
• Number of Course : 142
• Duration : 21 hours and 30 minutes

Content on 2021-2

Requirements

• Java 8 is required for the course. Spark does not currently support Java9+, and you need Java 8 for the functional Lambda syntax
• Previous knowledge of Java is assumed, but anything above the basics is explained
• Some previous SQL will be useful for part of the course, but if you’ve never used it before this will be a good first experience

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 1.5 GB

Password file(s): www.downloadly.ir

File size

10.5 GB