Spark and Python for Big Data and Data Science with PySpark

Bo0mB0oma · March 23, 2019

Spark and Python for Big Data and Data Science with PySpark

.MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 5.87 GB

Duration: 13.5 hours | Genre: eLearning Video | Language: English

Learn how to use Apache Spark 2.3 with Python (with Machine Learning and Streaming)

What you'll learn

Use Python and Spark together to analyze Big Data.

Learn how to use the new Spark 2.0 DataFrame syntax

Working on consulting projects that imitate real situations

Classify Customer Churn with Logistic Regression

Use Spark with decision trees for classification

Learn how to use Sparks Gradient Boosted Trees

Use Spark's MLlib to build powerful machine learning models

Setting up Amazon Web Services EC2 for big data analytics

Learn how to use AWS Elastic MapReduce Service

Create a spam filter with Spark and Natural Language Processing

Use Spark Streaming to analyze tweets in real time

Requirements

General programming skills in any language (preferably Python)

20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

description

Learn the latest Big Data technology - Spark! And learn it with one of the most popular programming languages, Python!

One of the most valuable technological skills is the ability to analyze large amounts of data. This course is specifically designed to prepare you for one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA and more all use Spark to solve their big data problems! Spark can run up to 100x faster than Hadoop MapReduce, causing an explosion of demand for this ability!

This course provides the basics of a crash course in Python and continues to teach you how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've discussed that, we'll see how to use the MLlib Machine Library with the DataFrame syntax and Spark. During each lesson you will get exercises and simulated consulting projects that will put you directly in a real situation where you can use your new skills to solve a real problem!

We also look at the latest Spark technologies, such as Spark SQL, Spark Streaming and advanced models like Gradient Boosted Trees! After completing this course, you can confidently write Spark and PySpark in your resume! This course also has a full 30-day money back guarantee!

When you're ready to immerse yourself in the world of Python, Spark and Big Data, this is the course for you!

Who this course is for:

Someone who knows Python and would like to learn how to use Big Data

Someone who is familiar with another programming language and wants to learn Spark

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