Building Data Analytics Solutions Using Amazon Redshift

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

15,000

In this course, you will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a data warehouse analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices
  • This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Students with a minimum one-year experience managing data warehouses will benefit from this course. We recommend that attendees of this course have:

  • Completed either AWS Technical Essentials or Architecting on AWS
  • Completed Building Data Lakes on AWS

Module A: Overview of Data Analytics and the Data Pipeline

Data analytics use cases

Using the data pipeline for analytics

 

Module 1: Using Amazon Redshift in the Data Analytics Pipeline

Why Amazon Redshift for data warehousing?

Overview of Amazon Redshift

 

Module 2: Introduction to Amazon Redshift

Amazon Redshift architecture

Interactive Demo 1: Touring the Amazon Redshift console

Amazon Redshift features

Practice Lab 1: Load and query data in an Amazon Redshift cluster

 

Module 3: Ingestion and Storage

Ingestion

Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API

Data distribution and storage

Interactive Demo 3: Analyzing semi-structured data using the SUPER data type

Querying data in Amazon Redshift

Practice Lab 2: Data analytics using Amazon Redshift Spectrum

 

Module 4: Processing and Optimizing Data

Data transformation

Advanced querying

Practice Lab 3: Data transformation and querying in Amazon Redshift

Resource management

Interactive Demo 4: Applying mixed workload management on Amazon Redshift

Automation and optimization

Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster

 

Module 5: Security and Monitoring of Amazon Redshift Clusters

Securing the Amazon Redshift cluster

Monitoring and troubleshooting Amazon Redshift clusters

 

Module 6: Designing Data Warehouse Analytics Solutions

Data warehouse use case review

Activity: Designing a data warehouse analytics workflow

 

Module B: Developing Modern Data Architectures on AWS

Modern data architectures

Why choose Cloud Wizard
  • Advanced Tier Training Partner
  • Amazon Authorised Instructors
  • Official AWS Content
  • Hands-on Labs
Class Deliverables
  • E-Content kit by AWS
  • Hands-on labs
  • Class completion certificates
  • Exam Prep sessions

Dates Available - Click on Book Now to proceed

Classroom1 daysAll DayMay 6, 202415,000
Classroom1 daysAll DayMay 20, 202415,000
Classroom1 daysAll DayJune 3, 202415,000
Classroom1 daysAll DayJune 17, 202415,000
Classroom1 daysAll DayJuly 1, 202415,000
Classroom1 daysAll DayJuly 15, 202415,000

Don't see a date that works for you?

Fill in the form below to let us know.

Please enable JavaScript in your browser to complete this form.

Popular Courses

Amazon Web Services Exam Voucher

This course is designed for individuals with little to no experience on the AWS Cloud. The learners will learn about AWS Cloud concepts, AWS services such as Security, AWS Architecture, Pricing and Support to develop their knowledge on the AWS Cloud.

Amazon Web Services Exam Voucher
 

Learn to identify services and features required to build secure and highly available IT solutions in the AWS Cloud.  Identify basic practices of AWS Architecture and process of designing optimal IT solutions using the AWS Well-Architected framework.

Amazon Web Services Exam Voucher

You will learn how to use a combination of DevOps best practices and tools to support your organization’s capability to develop, deliver and maintain applications and services at a high velocity on the AWS cloud.

Amazon Web Services Exam Voucher

The course explores the usage of the iterative Machine Learning (ML) pipeline to solve real-world business problems in a project-based environment. You will learn about each phase of the pipeline from an experienced AWS instructor.

Explore all AWS Courses

FAQs

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.

There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.

  1. Training Delivered by an Amazon Authorized Instructor.
  2. AWS Content E-Kit
  3. Hands-on-labs for 30 days
  4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)

Training

Services

Training

Avail 10% discount on
AWS Training Courses

Open chat
Chat with us
Hello!
How may I help you?