Building Data Analytics Solutions Using Amazon Redshift Training

Learn to build and manage data analytics pipelines

8 hours of training program

In-depth course structure with eight modules

Integrate Amazon Redshift with a data lake

Guided instructive sessions from expert trainers

Includes interactive demos, practice labs and class exercises

Flexible learning options designed for busy schedule

Hassle-free payment options in instalments

4.9/5

5658 Enrolled

Overview

What our training includes:

Explore real-world uses and applications of data analytics
Understand how Amazon Redshift is structured for data warehousing
Get practical experience using the Amazon Redshift console
Learn how to load data and run queries in Redshift clusters
Use Amazon Redshift Spectrum to analyse large datasets
Work with Jupyter notebooks for importing and analysing data
Learn how to secure and monitor Redshift clusters effectively

Learning Outcomes

After you complete this training, you will be able to:

Understand how Amazon Redshift is built and how it fits into data analytics workflows

Learn how to work with semi-structured data using the SUPER data type in Amazon Redshift

Build skills in using Redshift Spectrum to run queries on large datasets stored in Amazon S3

Apply best practices to resize and tune Redshift clusters for better performance

Develop advanced knowledge of how data is stored and distributed in Amazon Redshift

Ready to get started?

Prerequisites

To enrol in this Building Data Analytics Solutions Using Amazon Redshift Training, candidates must fulfil these eligibility requirements:

A minimum one year of experience managing data warehouses is required
Must have completed either AWS Technical Essentials or Architecting on AWS
Must have completed the Building Data Lakes on AWS course

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Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Data analytics use cases
Using the data pipeline for analytics

Why Amazon Redshift for data warehousing?
Overview of 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

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

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

Securing the Amazon Redshift cluster
Monitoring and troubleshooting Amazon Redshift clusters

Data warehouse use case review
Activity: Designing a data warehouse analytics workflow

Modern data architectures

Frequently asked questions

The Building Data Analytics Solutions Using Amazon Redshift Training is a hands-on, instructor-led course that teaches participants how to design, build and optimise data analytics solutions using Amazon Redshift. It is the AWS’s cloud-based data warehouse service. This course is ideal for data engineers, data warehouse developers, cloud architects and IT professionals.

Our course will provide you with the tools and techniques that will empower you to optimize query performance by using distribution keys and sort keys in Amazon Redshift. You'll also learn how to configure Redshift Spectrum to query large datasets stored in Amazon S3, reducing data transfer costs and speeding up query execution. These skills will enable you to manage complex, high-volume data sets more effectively and provide quicker insights to your team.

Our course covers all the key knowledge necessary to manage Amazon Redshift clusters and to make sure the migration process goes as smoothly as possible. You will learn how to ingest data from AWS Glue, optimize queries, and implement a secure environment by following best practices for Redshift.

Equipped with this knowledge, you will lead your team through the migration process, perform efficient data workflows, and have a data analytics infrastructure optimized for performance and scalability.

By completing the Building Data Analytics Solutions Using Amazon Redshift Training, you will gain a set of technical and practical skills essential for designing and managing modern cloud-based data analytics solutions. These key skills that you will acquire:

1. Data warehousing with Amazon Redshift
2. ETL/ELT pipeline development
3. Data modeling techniques
4. Advanced query optimization
5. Redshift Spectrum and Data Lake integration

The Amazon Redshift Training covers a wide range of essential topics that helps you with the knowledge needed to build scalable, secure and high-performance data analytics solutions in the cloud. These topics include:

1. Introduction to Amazon Redshift
2. Data modeling and Schema design
3. Data ingestion and ETL/ELT pipelines
4. Querying and analytics
5. Redshift Spectrum and Data Lake integration
6. Implementing identity and access control with IAM
7. Monitoring, logging and performance optimisation
8. Redshift advanced features

After completing the Building Data Analytics Solutions Using Amazon Redshift course, you will be equipped with in-demand skills that open up a range of data-focused career paths. These job roles are:

1. Data Engineer
2. Cloud Data Engineer
3. Data Analyst
4. Business Intelligence (BI) Developer
5. Data Warehouse Architect
6. Big Data Engineer
7. Analytics Solutions Architect

Our Amazon Redshift Course is designed for data warehouse professionals, data platform engineers, architects and operators responsible for building and managing data analytics pipelines. Ideal candidates are:

1. Data analysts
2. Data engineers
3. Business intelligence professionals
4. Cloud developers working with analytics

To enrol in this Building Data Analytics Solutions Using Amazon Redshift course, candidates must fulfil several eligibility requirements. These include:

1. A minimum one year of experience managing data warehouses is required
2. Must have completed either AWS Technical Essentials or Architecting on AWS
3. Must have completed the Building Data Lakes on AWS course