Udemy - Taming Big Data with Apache Spark and Python - Hands On!

What Will I Learn?
Frame big data analysis problems as Spark problems
Use Amazons 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 Sparks Resilient Distributed Datasets to process and analyze large data sets across many CPUs
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
Access to a personal computer. This course uses Windows, but the sample code will work fine on Linux as well.
Some prior programming or scripting experience. Python experience will help a lot, but you can pick it up as we go.
Description
New! Updated for Spark 2.0.0

?Big data analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. Youll learn those same techniques, using your own Windows system right at home. Its easier than you might think.

Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. Youll be learning from an ex-engineer and senior manager from Amazon and IMDb.

Learn the concepts of Sparks Resilient Distributed Datastores
Develop and run Spark jobs quickly using Python
Translate complex analysis problems into iterative or multi-stage Spark scripts
Scale up to larger data sets using Amazons Elastic MapReduce service
Understand how Hadoop YARN distributes Spark across computing clusters
Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX
By the end of this course, youll be running code that analyzes gigabytes worth of information in the cloud in a matter of minutes.

This course uses the familiar Python programming language; if youd rather use Scala to get the best performance out of Spark, see my ?Apache Spark with Scala Hands On with Big Data course instead.

Well have some fun along the way. Youll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once youve got the basics under your belt, well move to some more complex and interesting tasks. Well use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! Well analyze a social graph of superheroes, and learn who the most ?popular superhero is and develop a system to find ?degrees of separation between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? Youll find the answer.

This course is very hands-on; youll spend most of your time following along with the instructor as we write, analyze, and run real code together both on your own system, and in the cloud using Amazons Elastic MapReduce service. 5 hours of video content is included, with over 15 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.

Enjoy the course!

Who is the target audience?
People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but thats not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you.
If youve never written a computer program or a script before, this course isnt for you yet. I suggest starting with a Python course first, if programming is new to you.
If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark.
If youre training for a new career in data science or big data, Spark is an important part of it.