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Data Warehousing on AWS

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Description

In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. We will demonstrate 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). We will also explore how to use business intelligence (BI) tools to perform analysis on your data.

Course Objectives

In this course, you will learn to:

  • Evaluate the relationship between Amazon Redshift and other Big Data systems
  • Evaluate use cases for data warehousing workloads and review real-world 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
  • Understand which security features are appropriate for 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
  • Evaluate approaches and methodologies for designing data warehouses
  • Identify 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
  • Audit, monitor, and receive event notifications about activities in the data warehouse by using features and services such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS)
  • Prepare for operational tasks such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a BI application to perform data analysis and visualization tasks against your data

Intended Audience

This course is intended for:

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

Course Schedule

Date Location Enroll
September 16th, 2020 to September 18th, 2020 Virtual Instructor-led Register

Course Overview

Duration 3D / 24 HRS
Level Speciality
MODALITY Virtual Instructor led / Classroom
CERTIFICATION NAME NA
CERTIFICATION COST NA
COURSE LANGUAGE English
Price $1,975.00

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