Data Warehousing on AWS

Live Online (VILT) & Classroom Corporate Training Course

In this course, you'll learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The 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 Simple Storage Service (Amazon S3).
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Overview

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.

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Activites

This course includes presentations, group exercises, and hands-on labs.

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Objectives

In this Data Warehousing on AWS course, , participants will be able to:

  • 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
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Prerequisites

We recommend that attendees of Advanced Developing on AWS course have the following prerequisites:

  • Taken AWS Technical Essentials (or equivalent experience with AWS)
  • Familiarity with relational databases and database design concepts
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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
  • Hands-on lab 1: Introduction to Amazon Redshift

Introduction to Amazon Redshift

  • Conceptual overview
  • Real-world use cases
  • Hands-on lab 2: Launching an Amazon Redshift cluster

Launching clusters

  • Building the cluster
  • Connecting to the cluster
  • Controlling access
  • Database security
  • Load data
  • Hands-on lab 3: Optimizing database schemas

Designing the database schema

  • Schemas and data types
  • Columnar compression
  • Data distribution styles
  • Data sorting methods

Identifying data sources

  • Data sources overview
  • Amazon S3
  • Amazon DynamoDB
  • Amazon EMR
  • Amazon Kinesis Data Firehose
  • AWS Lambda Database Loader for Amazon Redshift
  • Hands-on lab 4: Loading real-time data into an Amazon Redshift database

Loading data

  • Preparing Data
  • Loading data using COPY
  • Maintaining tables
  • Concurrent write operations
  • Troubleshooting load issues
  • Hands-on lab 5: Loading data with the COPY command
s-on lab 4: Loading real-time data into an Amazon Redshift database

Writing queries and tuning for performance

  • Amazon Redshift SQL
  • User-Defined Functions (UDFs)
  • Factors that affect query performance
  • The EXPLAIN command and query plans
  • Workload Management (WLM)
  • Hands-on lab 6: Configuring workload management

Amazon Redshift Spectrum

  • Amazon Redshift Spectrum
  • Configuring data for Amazon Redshift Spectrum
  • Amazon Redshift Spectrum Queries
  • Hands-on lab 7: Using Amazon Redshift Spectrum

Maintaining clusters

  • Audit logging
  • Performance monitoring
  • Events and notifications
  • Lab 8: Auditing and monitoring clusters
  • Resizing clusters
  • Backing up and restoring clusters
  • Resource tagging and limits and constraints
  • Hands-on lab 9: Backing up, restoring and resizing clusters

Analyzing and visualizing data

  • Power of visualizations
  • Building dashboards
  • Amazon QuickSight editions and features
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AWS Discovery Days

Supercharge your workforce’s AWS skills with our complimentary Privately Hosted AWS Discovery Day. Delivered by our team of renowned AWS Authorized Instructors, this tailored experience will propel your organization’s technological capabilities to new heights.

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Testimonials

Dr. Sahdev Singh

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Shamsudeen Bawa

Synergific Software Team has been very supportive, and working with them has been a best decision that we could ever made, They are just a call away. You guys are AWESOME, Thank You, Keep up the Good Work!!!

Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

Farhan Hafiz

Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv

Dr. Sahdev Singh

I think Synergific Software is great. I liked that it was hassle free and easy to set up. Again, it's a great feature for a fast and cheap set up, which gives me peace of mind, as I know have a terms of use agreement.

Dr. Sahdev Singh

Under Secretary, Ministry of Law & Justice, Govt. of India

M Chikanna Swamy

I liked using Synergific Software very much. I thought the website was easy to navigate and the instructions for generating the terms was clear. I even recommended you on a Facebook Group I am a member of.

M Chikanna Swamy

Director & Learning Head, Mindtree

Shamsudeen Bawa

Synergific Software Team has been very supportive, and working with them has been a best decision that we could ever made, They are just a call away. You guys are AWESOME, Thank You, Keep up the Good Work!!!

Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

Farhan Hafiz

Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv