Managing Big Data with AWS Storage Options
Offered By: Pluralsight
Course Description
Overview
Discover solutions offered by Amazon Web Services for collecting, processing, and storing big data coming in from different sources, to derive insights about your businesses and your customers
In the modern world, data has become a critical factor in companies making decisions about their business and understanding their customers. But making sense of this data is no small or cheap task. In this course, Managing Big Data with AWS Storage Options, you will learn how to process large amounts of data generated by your company using Amazon Web Services. First, you will learn how to collect, process and store petabytes of data into Amazon Redshift using AWS Glue. Next, you will discover how to process and store real-time data using Amazon Kinesis Data Firehose. Finally, you will explore how to use Amazon Elastic Map Reduce to provision clusters and perform data analysis on your big data, by turning it into meaningful insights. At the end of this course, you will be able to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data, to take your business to the next level. In order to get the most out of this course, you will need to have an AWS account to follow the exercises demonstrated.
In the modern world, data has become a critical factor in companies making decisions about their business and understanding their customers. But making sense of this data is no small or cheap task. In this course, Managing Big Data with AWS Storage Options, you will learn how to process large amounts of data generated by your company using Amazon Web Services. First, you will learn how to collect, process and store petabytes of data into Amazon Redshift using AWS Glue. Next, you will discover how to process and store real-time data using Amazon Kinesis Data Firehose. Finally, you will explore how to use Amazon Elastic Map Reduce to provision clusters and perform data analysis on your big data, by turning it into meaningful insights. At the end of this course, you will be able to use Amazon Web Services to set up an infrastructure to collect and analyze petabytes of data, to take your business to the next level. In order to get the most out of this course, you will need to have an AWS account to follow the exercises demonstrated.
Taught by
Nertil Poci
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX