Course detailsThe Big Data on AWS course prepares you to perform distributed processing and covers all aspects of hosting big data on the AWS platform. You will learn about cloud based big data solutions and you will be able to use AWS Elastic MapReduce to process data and create big data environments. This course has been aligned to the AWS Certified Big Data - Specialty exam. This course has been aligned with industry best practices as it has been created by industry leaders.
-More than 15 hours of high quality self-learning course videos
-Lifetime access to course content
-Chapter End Questions
-Sample Question Set
-Course End Project
-Certificate of Completion
Individuals with the cloud practitioner or associate level AWS certification and a minimum of 2 years of experience performing complex big data analysis including Solutions Architects, SysOps Administrators, Data Scientists, Data Analysts and many more.
Lesson 1 - Overview of Big Data on AWS Certification Course
Lesson 2 - Big Data on AWS Introduction
Lesson 3 - Collection
Lesson 4 - Storage
Lesson 5 - Processing
Lesson 6 - Analysis
Lesson 7 - Visualization
Lesson 8 - Security
Objective of the Course:
-Fit AWS solutions inside of a big data ecosystem
-Leverage Apache Hadoop in the context of Amazon EMR
-Identify the components of an Amazon EMR cluster
-Launch and configure an Amazon EMR cluster
-Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
-Leverage Hue to improve the ease-of-use of Amazon EMR
-Use in-memory analytics with Spark on Amazon EMR
-Leverage Amazon Athena for ad-hoc query analytics
-Leverage AWS Glue to automate ETL workloads.
-Use visualization software to depict data and queries using Amazon QuickSight
-Orchestrate big data workflows using AWS Data Pipeline
-Discussion Forum to discuss with fellow learners
-24/7 support to answer your queries
Updated on 16 June, 2020
Eligibility / Requirements
A minimum of 2 years of experience using AWS technology.
A learner must have an understanding of AWS security best practices and how AWS services integrate with each other.
The learner should be able to define and architect AWS big data services and lifecycle of collection, ingestion, storage, processing, and visualization.
Individuals with the cloud practitioner or associate level AWS certification and a minimum of 2 years of experience performing complex big data analysis.
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