Building Data Analytics Solutions Using Amazon Redshift Training in Sweden

Learn to develop 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 a busy schedule

Hassle-free payment options in instalments

4.9/5

5658 EnrolledEnrolled Learners

4.9/5

5658 EnrolledEnrolled Learners

Overview

What you will learn:

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

Upcoming sessions

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

Meet your Trainer

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.

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?

Learners Point Certificate

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

Prerequisites

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

A minimum of 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

Overall ratings by our students

Related courses

Learn now, pay later

Dive into your course now and pay in installments

Frequently asked questions

Our Building Data Analytics Solutions Using Amazon Redshift Training in Sweden is a professional course that teaches experts how to architect, build, and operate elastic data analytics pipelines on Amazon Redshift. The professionals acquire the skills to ingest, transform, and analyze big data using Redshift Spectrum and other AWS services. Through this training, professionals gain the ability to tackle real-world data problems effectively.

You'll get hands-on experience with guided labs in loading data, executing queries in Amazon Redshift, setting up clusters, working with Redshift Spectrum, and with Jupyter notebooks. These labs set you up for real-world implementation situations.

Yes, our module is dedicated to Redshift security and monitoring best practices. You’ll learn how to manage IAM roles, encryption, access controls, and use monitoring tools like Amazon CloudWatch to troubleshoot and optimize performance.

These cutting-edge features are explained in detail. You'll learn how to use Redshift Spectrum to query S3 data and how the SUPER data type makes it possible for you to handle semi-structured JSON data in Redshift.

Amazon Redshift is used extensively across sectors like: