Welcome to this course: Big Data with Apache Spark and AWS.
Every year we have a big increment of data that we need to store and analyze. AWS is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. We will teach you how to create Spark clusters on the Amazon Web Services (AWS) platform; With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed cloud computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly.
This course will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. You'll learn to perform cluster based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, Json, and HDFS; and do cluster based data manipulation operations with tools like SparkR and SparkSQL.
By the end of this course, you will have a thorough understanding of Spark and AWS, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.
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Our instructors are industry leading experts in the subjects they teach, because they continue to spend time working on real-world industry applications. They are expert trainers – able to communicate complex concepts clearly, understandably and with the enthusiasm that will inspire you to learn.
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