Best Apache Spark Online Courses
Table of Contents
#1 Apache Spark 2.0 with Scala – Hands On with Big Data!
Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
“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. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think, and you’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.
Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: “Taming Big Data with Apache Spark and Python – Hands On”.
Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course.
- Learn the concepts of Spark’s Resilient Distributed Datastores
- Get a crash course in the Scala programming language
- Develop and run Spark jobs quickly using Scala
- Translate complex analysis problems into iterative or multi-stage Spark scripts
- Scale up to larger data sets using Amazon’s Elastic MapReduce service
- Understand how Hadoop YARN distributes Spark across computing clusters
- Practice using other Spark technologies, like Spark SQL, DataFrames, DataSets, Spark Streaming, and GraphX
#2 Taming Big Data with Apache Spark and Python – Hands On!
Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!
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. You’ll be learning from an ex-engineer and senior manager from Amazon and IMDb.
- Learn the concepts of Spark’s 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 Amazon’s Elastic MapReduce service
- Understand how Hadoop YARN distributes Spark across computing clusters
- Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX
#3 Apache Spark 2.0 + Java : DO Big Data Analytics & ML
Project Based, Hands-on Practices, Spark SQL, Spark Streaming, Java Setup and building real world applications
Welcome to our course. Looking to learn Apache Spark 2.0, practice end-to-end projects and take it to a job interview? You have come to the RIGHT course! This course teaches you Apache Spark 2.0 with Java, trains you in building Spark Analytics and machine learning programs and helps you practice hands-on (2K LOC code samples !) with an end-to-end real life application project. Our goal is to help you and everyone learn, so we keep our prices low and affordable.
Java is the main technology used today to build industry-grade applications and coming that with Spark gives you unlimited ability to build cutting edge applications.
Apache Spark is the hottest Big Data skill today. More and more organizations are adapting Apache Spark for building their big data processing and analytics applications and the demand for Apache Spark professionals is sky rocketing. Learning Apache Spark is a great vehicle to good jobs, better quality of work and the best remuneration packages.
The goal of this project is provide hands-on training that applies directly to real world Big Data projects. It uses the learn-train-practice-apply methodology where you
- Learn solid fundamentals of the domain
- See demos, train and execute solid examples
- Practice hands-on and validate it with solutions provided
- Apply knowledge you acquired in an end-to-end real life project
Best Apache Spark Books:
#1 High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark by Holden Karau
#2 Apache Spark in 24 Hours, Sams Teach Yourself by Jeffrey Aven
#3 Mastering Apache Spark: Gain expertise in processing and storing data by using advanced techniques with Apache Spark by Mike Frampton
#4 Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science by Rishi Yadav
#5 Apache Spark 2.x Machine Learning Cookbook: Over 100 recipes to simplify machine learning model implementations with Spark by Siamak Amirghodsi
#6 Practical Apache Spark: Using the Scala API by Subhashini Chellappan
