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Data Warehousing on AWS

  • Intermediate
  • 16 and older
  • $1,495
  • Live Online Training
  • 24 hours over 3 sessions

Start Dates (0)

  • $1,495
  • Live Online Training
  • 24 hours over 3 sessions
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Class Description

Description

What you'll learn in this big data training:

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data.

Course Objectives

  • Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions
  • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
  • Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution
  • Architect the data warehouse
  • Identify performance issues, optimize queries, and tune the database for better performance
  • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket
  • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse

Course Outline

Introduction to Data Warehousing

  • Relational databases
  • Data warehousing concepts
  • The intersection of data warehousing and big data
  • Overview of data management in AWS

Introduction to Amazon Redshift

  • Conceptual overview
  • Real-world use cases

Launching clusters

  • Building the cluster
  • Connecting to the cluster
  • Controlling access
  • Database security
  • Load data

Who Should Attend

  • Database architects
  • Database administrators
  • Database developers
  • Data analysts and scientists

Prerequisites

Required

  • Familiarity with relational databases and database design concepts

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

A student who cancels within 7 days of signing the enrollment agreement but before instruction begins receives all monies returned with the exception of the non-refundable registration fee.

Thereafter, a student will be liable for:

  • The non-refundable registration fee of $100 plus
  • The cost of any textbooks or supplies accepted plus
  • Tuition liability as of the student's last date of physical attendance
If Termination Occurs

  • Prior to or during the first week - 0% Penalty
  • During the second week - 25% Penalty
  • During the third week - 50% Penalty
  • During the fourth week - 75% Penalty
  • After the fourth week - 100% Penalty

The failure of a student to notify CourseHorse in writing of withdrawal may delay a refund of tuition.

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NetCom Learning

NetCom Learning delivers top-quality training and certification solutions to businesses, individuals and government agencies.

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