Data Warehousing on AWS

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Data Warehousing on AWS Course Description

Duration: 3.00 days (24 hours)

You save 25% off the regular price.

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Data Warehousing on AWS training 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 other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.

Next Class Dates

Mar 19, 2018 – Mar 21, 2018
8:30 AM – 4:30 PM ET
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018
Apr 16, 2018 – Apr 18, 2018
8:30 AM – 4:30 PM ET
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018
May 21, 2018 – May 23, 2018
8:30 AM – 4:30 PM ET
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018
Jun 18, 2018 – Jun 20, 2018
8:30 AM – 4:30 PM ET
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018

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Contact us to customize this class with your own dates, times and location. You can also call 1-888-563-8266 or chat live with a Learning Consultant.

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Intended Audience for this Data Warehousing on AWS Course

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

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Course Prerequisites for Data Warehousing on AWS

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Data Warehousing on AWS Course Objectives

  • » Core concepts of data warehousing
  • » Evaluate the relationship between Amazon Redshift and other big data systems
  • » Evaluate use cases for data warehousing workloads and review case studies that demonstrate implementation of AWS data and analytic services as part of a data warehousing solution
  • » Choose an appropriate Amazon Redshift node type and size for your data needs
  • » Discuss security features as they pertain to Amazon Redshift, such as encryption, IAM permissions, and database permissions
  • » 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 Firehose, and Amazon S3, to contribute to the data warehousing solution
  • » Approaches and methodologies for designing data warehouses
  • » Data sources and assess requirements that affect the data warehouse design
  • » Design the data warehouse to make effective use of compression, data distribution, and sort methods
  • » Load and unload data and perform data maintenance tasks
  • » Write queries and evaluate query plans to optimize query performance
  • » Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing
  • » Use features and services, such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS), to audit, monitor, and receive event notifications about activities in the data warehouse
  • » Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • » Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data

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Data Warehousing on AWS Course Outline

      1. Module: 1
        1. Course Introduction
        2. Introduction to Data Warehousing
        3. Introduction to Amazon Redshift
        4. Understanding Amazon Redshift Components and Resources
        5. Launching an Amazon Redshift Cluster
      2. Module: 2
        1. Reviewing Data Warehousing Approaches
        2. Identifying Data Sources and Requirements
        3. Designing the Data Warehouse
        4. Loading Data into the Data Warehouse
      3. Module: 3
        1. Writing Queries and Tuning Performance
        2. Maintaining the Data Warehouse
        3. Analyzing and Visualizing Data

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Do you have the right background for Data Warehousing on AWS?

Skills Assessment

We ensure your success by asking all students to take a FREE Skill Assessment test. These short, instructor-written tests are an objective measure of your current skills that help us determine whether or not you will be able to meet your goals by attending this course at your current skill level. If we determine that you need additional preparation or training in order to gain the most value from this course, we will recommend cost-effective solutions that you can use to get ready for the course.

Our required skill-assessments ensure that:

  1. All students in the class are at a comparable skill level, so the class can run smoothly without beginners slowing down the class for everyone else.
  2. NetCom students enjoy one of the industry's highest success rates, and pass rates when a certification exam is involved.
  3. We stay committed to providing you real value. Again, your success is paramount; we will register you only if you have the skills to succeed.
This assessment is for your benefit and best taken without any preparation or reference materials, so your skills can be objectively measured.

Take your FREE Skill Assessment test »

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Award winning, world-class Instructors

Our instructors are passionate at teaching and are experts in their respective fields. Our average NetCom instructor has many, many years of real-world experience and impart their priceless, valuable knowledge to our students every single day. See our world-class instructors.   See more instructors...

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