Udemy – Taming Big Data with Apache Spark and Python – Hands On (Feb-2018)

Udemy – Taming Big Data with Apache Spark and Python – Hands On (Feb-2018)
English | Size: 1.42 GB
Category: Tutorial

Created by Sundog Education by Frank Kane, Frank Kane
Last updated 2/2018
English
What Will I Learn?
Frame big data analysis problems as Spark problems
Use Amazon’s Elastic MapReduce service to run your job on a cluster with Hadoop YARN
Install and run Apache Spark on a desktop computer or on a cluster
Use Spark’s Resilient Distributed Datasets to process and analyze large data sets across many CPU’s
Implement iterative algorithms such as breadth-first-search using Spark
Use the MLLib machine learning library to answer common data mining questions
Understand how Spark SQL lets you work with structured data
Understand how Spark Streaming lets your process continuous streams of data in real time
Tune and troubleshoot large jobs running on a cluster
Share information between nodes on a Spark cluster using broadcast variables and accumulators
Understand how the GraphX library helps with network analysis problems
Requirements [Read more…]

Lynda – Spark for Machine Learning & AI

Lynda – Spark for Machine Learning & AI
English | Size: 222.58 MB
Category: AI

Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. Instructor Dan Sullivan discusses MLlib-the Spark machine learning library-which provides tools for data scientists and analysts who would rather find solutions to business problems than code, test, and maintain their own machine learning libraries. He shows how to use DataFrames to organize data structure, and he covers data preparation and the most commonly used types of machine learning algorithms: clustering, classification, regression, and recommendations. By the end of the course, you will have experience loading data into Spark, preprocessing data as needed to apply MLlib algorithms, and applying those algorithms to a variety of machine learning problems.
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Carlos Xuma Sexual Spark System [.MP4]

Carlos Xuma Sexual Spark System [.MP4]
English | Size: 1.37 GB
Category: Tutorial

This system by Carlos Xuma shows men how to trigger instant sexual attraction and addiction in a woman, and supercharge her sexual desires. It is designed to tap into a woman’s addictive habits in order to become her desired obsession.
Some of the areas covered:
– The words to bypass a woman’s rejection reflex
– How to get a woman to feel genuine sexual desire for you
– A technique to know when a woman is ready to sleep with you
– How to get you out of the friend zone and create an instant bond with a woman
[Read more…]

Packt Publishing – Spark for Machine Learning [Video]

Packt Publishing – Spark for Machine Learning [Video]
English | Size: 294.01 MB
Category: Tutorial

Spark lets you apply machine learning techniques to data in real time, giving users immediate machine-learning based insights based on what’s happening right now. Using Spark, we can create machine learning models and programs that are distributed and much faster compared to standard machine learning toolkits such as R or Python.
[Read more…]

Lynda – Apache Spark Essential Training – Big Data Engineering

Lynda – Apache Spark Essential Training – Big Data Engineering
English | Size: 368.79 MB
Category: Tutorial

In order to construct data pipelines and networks that stream, process, and store data, data engineers and data-science DevOps specialists must understand how to combine multiple big data technologies. In this course, discover how to build big data pipelines around Apache Spark. Join Kumaran Ponnambalam as he takes you through how to make Apache Spark work with other big data technologies. He covers the basics of Apache Kafka Connect and how to integrate it with Spark for real-time streaming. In addition, he demonstrates how to use the various technologies to construct an end-to-end project that solves a real-world business problem. [Read more…]

O’Reilly – Analyzing Big Data with Spark and Amazon EMR

O’Reilly – Analyzing Big Data with Spark and Amazon EMR
English | Size: 453.51 MB
Category: Tutorial

You’re a software developer somewhat familiar with Apache Spark and how it’s used to analyze Big Data. You’ve been tasked with a Big Data analysis job and you want to rent space on a cluster to do it. But where to begin?

This is a hands-on course where Amazon Web Services pro Frank Kane shows you how to rent Amazon’s Elastic MapReduce service (EMR) at minimal cost and use it to run Spark scripts on top of a real Hadoop cluster. Kane’s approach is fun: You’ll learn a Big Data analysis process by actually deploying Spark on EMR to build a working movie recommendation engine using real movie ratings data.
[Read more…]