Course Details | Cloudthat

Course 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. The course comprises presentations, group exercises, and hands-on labs.

After completing this course, students 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

Upcoming Batches

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Key Features

  • Our training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)
  • AWS certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL)
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment
  • Being an authorized AWS Training Partner gives us an edge over competition

Who Should Attend

  • Database Architects
  • Database Administrators
  • Database Developers
  • Data Analysts
  • Data Scientists

Prerequisites

We recommend that attendees of this course have:

  • Taken AWS Technical Essentials (or equivalent experience with AWS)
  • Familiarity with relational databases and database design concepts

Course Outline Download Course Outline

Day 1

Module 1: 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

Module 2: Introduction to Amazon Redshift

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

Module 3: Launching clusters

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

Day 2

Module 4: Designing the database schema

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

Module 5: 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

Module 6: 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

Day 3

Module 7: 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

Module 8: Amazon Redshift Spectrum 

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

Module 9: 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

Module 10: Analyzing and visualizing data

  • Power of visualizations
  • Building dashboards
  • Amazon QuickSight editions and features

Certification

    • By earning Data Warehousing on AWS certification, you will show your future or current employer that you have knowledge of AWS Cloud concepts.
    • Data Warehousing on AWS certification can be used to learn cloud-based best practices for data-warehousing using Amazon platform.
    • On successful completion of Data Warehousing on AWS certification training aspirants receive a Course Completion Certificate from us
    • By successfully clearing the Data Warehousing on AWS certification exams, aspirants earn AWS Certification

Our Top Trainers

Pavan Bhawsar

Pavan is a Microsoft Certified Trainer at CloudThat. He is an enthusiastic and passionate trainer, empathic observer towards the trending technologies with demonstrated skill in Azure and hybrid Cloud Administration. He has 6+ years of corporate experience, etc.

Vivek Kumar

Vivek has been involved in various large and complex projects with global clients. He has experience in AWS, GCP and Azure Cloud Platforms. He has experience in various software development fields like Image Processing, Web designing, Networking etc.

Jagadesh Gonnagar

He has been a part of several large and complex software development projects with global clients. He has worked in USA for over 11 years before relocating to India. He has expertise in Database design/development, Web development, etc.

Haris AK

Haris works as Cloud Solutions Architect in CloudThat technologies, being passionate about ever evolving technology. He is specialist on Docker, Kubernetes, Ansible, Git/Jenkins, Terraform and other DevOps Technologies. Haris Architects’ solutions on Cloud as well on-Premises using wide etc.

Devi Vara Prasad

A Microsoft Certified Trainer with more than 15+ years of Corporate, Online and Classroom Training Experience, well versed in AWS an Azure Cloud platform and have been delivering trainings for more than 5years. Also has a vast etc.

Ajay Kumar Lodha

Ajay is cloud obsessed and cloud addict, that's how he describes himself. Ajay has been working with all the major cloud computing platforms like AWS, Azure, and GCP for more than 5 years now. He is into etc.

Guruprasad Srinivasrao Venugopal

He is a Cloud enthusiast with demonstrated skills in Azure, AWS Hybrid-Cloud administration, Linux and DevOps. Alongside working on Azure Cloud deployment, administration and implementation, he is also engaged in planning, designing and executing various nice technology etc.

Prarthit Mehta

Prarthit has been involved in various large and complex projects with global clients. He has experience in Microsoft, MS office 365 & AWS Infrastructure technologies and Windows servers, designing Active Directory and managing various domain services. He etc.

Priyant Gupta

Priyant is working in the Microsoft Technology space for last 5 years and is sharing the knowledge gained on Azure Administration, Azure Data Engineering and Dynamics 365 CE Apps. He has trained 1000+ professionals as a corporate trainer at etc.

Lakhan Kriplani

He had involved in various client projects to set up infrastructure on Cloud for various Analytics applications, E-Commerce, setup CICD Pipeline using AWS services. He has experience in developing highly secure, scalable web applications using MVC architecture. etc.

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