AWS-BIGDAT: Big Data on AWS

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About this Course

In this course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Audience Profile

Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators; Data scientists and data analysts interested in learning about big data solutions on AWS

At Course Completion

Outline

Lesson 1: Overview of Big Data
Lesson 2: Data Ingestion, Transfer, and Compression
Lesson 3: AWS Data Storage Options
Lesson 4: Using DynamoDB with Amazon EMR
Lesson 5: Using Kinesis for Near Real-Time Big Data Processing
Lesson 6: Introduction to Apache Hadoop and Amazon EMR
Lesson 7: Using Amazon Elastic MapReduce
Lesson 8: The Hadoop Ecosystem
Lesson 9: Using Hive for Advertising Analytics
Lesson 10: Using Streaming for Life Sciences Analytics
Lesson 11: Using Hue with Amazon EMR
Lesson 12: Running Pig Scripts with Hue on Amazon EMR
Lesson 13: Spark on Amazon EMR
Lesson 14: Running Spark and Spark SQL Interactively on Amazon EMR
Lesson 15: Using Spark and Spark SQL for In-Memory Analytics
Lesson 16: Managing Amazon EMR Costs
Lesson 17: Securing your Amazon EMR Deployments
Lesson 18: Data Warehouses and Columnar Datastores
Lesson 19: Introduction to Amazon Redshift
Lesson 20: Optimizing Your Amazon Redshift Environment
Lesson 21: The Big Data Ecosystem on AWS
Lesson 22: Visualizing and Orchestrating Big Data
Lesson 23: Using Tibco Spotfire to Visualize Big Data

Prerequisites

Familiarity with big data technologies; Big Data Technology Fundamentals web-based training; working knowledge of core AWS services and public cloud implementation; AWS Essentials; basic understanding of data warehousing, and relational databases.