What are you learning
- Use data frames and structured flow in Spark 3.
- Use the MLLib Machine Learning Library to answer common data mining questions.
- Understand how Spark Streaming makes it possible to process permanent data streams in real time.
- Analytical issues with data analytics issues such as frame bugs
- Use Amazon's MapReduce flexible service to run your business on clusters with Hopper Yarn
- Install Apache Spark on desktop computer or group.
- Use Spark's flexible datasets to process and analyze large data sets across multiple CPUs.
- Apply repeat algorithms such as first range detection with spark
- Understand how Spark works with SQL managed data.
- Customize and break down the great work done on a group.
- The use of broadcast variables and assemblers to exchange information between nodes in a spark cluster.
- Understand how graphics help solve network analytics.
requirements
Access to a PC. This course uses Windows, but the sample code also works well on Linux.
Some programming or scripting experience. Trying Python will help a lot, but you can take it as we start.
To describe
new ones! Updated to Spark3, more exercises, stronger focus on data frames and structured flow.
Analyzing Big Data is an important and invaluable skill - and this course will teach you the most popular technology in data: Apache Spark. Employers, including Amazon, eBay, NASA JPL, and Yahoo, are using Spark to quickly extract meaning from big data. Sets a fault tolerant camber in the block. You will learn the same techniques at home with your Windows system. And easier than you think.
Learn and master the art of developing data analytics problems such as Spark problems with over 20 examples, then extend them to cloud computing services in this course. You will learn from former engineers and senior managers at Amazon and IMDb.
Learn more about Spark data frameworks and flexible concepts for distributed data storage.
Quickly build and run SparkJobs with Python and Pyspark.
Regularly translate complex analysis problems into multi-stage spark scripts.
Scale large data sets with Amazon Elastic MapReduce.
Understand how Splunk is divided into computer clusters.
Learn more about other Spark technologies such as Spark MySQL, Spark Streaming, and Graphics.
At the end of this course, you'll run code that analyzes gigabytes of information - in the cloud - in minutes.
This course uses the well-known Python programming language. If you want to use Scala to get the best performance out of Spark, see "Apache Spark with Scala - Hands On With Big Data" course.
Along the way we make something fun. Some simple examples of using Spark to analyze movie and text rating data in a book will inspire you. Once you've got the basics down, we'll move on to some of the more complex and interesting tasks. We'll be using 1 million movie reviews to find similar movies while discovering some new movies you might like! We will analyze the social graph of superheroes, find out who the "most popular" superhero is - and create a system to find the "divorce score" of superheroes. Are all Marvel superheroes related to The Amazing Hulk to some degree? You get the answer.
This course is very useful. You spend most of your time following the master while we write, analyze and compile the actual code - on our system or in the cloud with Amazon Elastic Map Reduce. It includes 7 hours of video content, plus over 20 real-world examples of the increasing complexity that you can create, play and read yourself. Watch them at your own pace, according to your schedule. This course discusses other great technologies on Spark, including Spark MySQL, Spark Streaming, and graphics.
Capturing big data with Apache Spark is an important skill in today's tech world. Register now!
"I studied "Taming Big Data with Apache Spark and Python" with Frank Kane and it helped me build a better Big Data as a Service platform for my business. I recommend the course!" Cleoton Sampaio de Mello Jr.
This course is for anyone who:
Some people with a background in software development who want to learn the deeper techniques will want to consider big data analytics. This course focuses on Spark from a software development perspective. Along the way, we'll introduce some machine learning and data mining concepts, but we don't discuss them often. If you want to learn how to use Spark to create and understand datasets, this course is for you.
If you have never written a computer program or script, this course is not for you. I recommend starting a Python course first, if you're new to programming.
If your software development work involves or involves processing large amounts of data, you should have knowledge of Spark.
If you're training for a new career in data science or big data, Spark is an important part of that.
Here is the download links
https://www.udemy.com/course/taming-big-data-with-apache-spark-hands-on/
you can join over whats app group -> FREE COURSES 2022
