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What you would learn in Spark and Python for Big Data with PySpark course?
Learn about the latest Big Data Technology - Spark! Learn how to work using Python, one of the world's most widely used programming languages: Python!
A critical tech skill is the ability to analyze massive data sets. This course is designed to get you up to current on one of the most effective techniques for this job, Apache Spark! The most prominent technology companies, such as Google, Facebook, Netflix, Airbnb, Amazon, and NASA, use Spark to solve their data-related problems!
Spark can run 100 times more efficiently over Hadoop MapReduce, increasing demand for this ability! Since the Spark 2.0 DataFrameframework is so fresh, you can now quickly make yourself one of the most educated individuals on the market!
This course will introduce the basics through an introduction to Python and then move in learning to utilize Spark DataFrames with the latest Spark 2.0 syntax! After that, we'll walk through how to use the MLlib Machine Library with the DataFrame syntax and Spark. Along the way, there will be exercises as well as Mock Consulting Projects that will place you in a real-life situation in which you have to apply your new knowledge to solve a real issue!
We will review the most current Spark technologies, such as Spark SQL, Spark Streaming, and more advanced models like the Gradient Boosted Trees! Once you have completed this course, you'll be able to put Spark along with PySpark on your CV!
If you're eager to leap into Python, Spark, and Big Data, this is the right course!
Make use of Python and Spark together to study Big Data
Learn how to utilize the latest Spark 2.0 DataFrame Syntax
Develop Consulting Projects that mimic real scenarios from the real world!
Classify Customer Churn using Logistic Regression
Use Spark to create random Forests to Classify
Learn to make use of the Gradient-Boosted Tree feature of Spark.
Make use of Spark's MLlib to build Powerful Machine Learning Models
Learn more about how you can benefit from the DataBricks Platform!
Start by registering to use Amazon Web Services EC2 for Big Data Analysis
Learn how to utilize AWS Elastic MapReduce Service!
Learn how you can harness the potential of Linux by using Spark Environment! Spark Environment!
Create a Spam filter with Spark as well as Natural Language Processing!
Make use of Spark Streaming to analyze Tweets in Real Time!
Download Spark and Python for Big Data with PySpark from below links NOW!
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