Building Data Analytics Solutions Using Amazon Redshift Training in UK
Learn to build & manage data analytics pipelines
8 hours of training program with eight modules
Integrate Amazon Redshift with a data lake
Guided instructive sessions from expert trainers
Includes interactive demos, practice labs & class exercises
Flexible learning & easy payment options available
4.9/55273 EnrolledEnrolled Learners
4.9/55273 EnrolledEnrolled Learners
Overview
What you will learn:
- Provides real-world insights into data analytics applications
- Helps to understand Amazon Redshift data warehousing
- Explains how to operate the Amazon Redshift console effectively
- Teaches methods for loading data & writing Redshift queries
- Develops skills in using Redshift Spectrum for large datasets
- Builds expertise in securing & monitoring Redshift clusters
Upcoming sessions
Curriculum
1
Data analytics use cases
2
Using the data pipeline for analytics
1
Why Amazon Redshift for data warehousing?
2
Overview of Amazon Redshift
1
Amazon Redshift architecture
2
Interactive Demo 1: Touring the Amazon Redshift console
3
Amazon Redshift features
4
Practice Lab 1: Load and query data in an Amazon Redshift cluster
1
Ingestion
2
Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API
3
Data distribution and storage
4
Interactive Demo 3: Analyzing semi-structured data using the SUPER data type
5
Querying data in Amazon Redshift
6
Practice Lab 2: Data analytics using Amazon Redshift Spectrum
1
Data transformation
2
Advanced querying
3
Practice Lab 3: Data transformation and querying in Amazon Redshift
4
Resource management
5
Interactive Demo 4: Applying mixed workload management on Amazon Redshift
6
Automation and optimization
7
Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster
1
Securing the Amazon Redshift cluster
2
Monitoring and troubleshooting Amazon Redshift clusters
1
Data warehouse use case review
2
Activity: Designing a data warehouse analytics workflow
1
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:
1
Understand Redshift’s structure & role in data analytics workflows
2
Learn to process semi-structured data using the SUPER data type
3
Use Redshift Spectrum to query massive datasets from Amazon S3
4
Apply resizing & tuning methods for optimal Redshift cluster performance
5
Explore how Redshift stores & distributes data for better efficiency
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 course in UK, 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
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Frequently asked questions
The Building Data Analytics Solutions Using Amazon Redshift Training in UK is all about teaching professionals ways to design, build, and manage data analytics pipelines using Amazon Redshift. You learn to import, transform, and analyse large datasets, using tools like Redshift Spectrum and the SUPER data type. This helps professionals develop practical skills in cloud analytics and data warehousing through actual practical work and projects.
The course structure enables professionals to work with large, structured, and semi-structured datasets. The training also shows ways to connect Redshift with Amazon S3 for external data access.
Our training is available in several different modes for convenient learning. These include -
- Instructor-led group sessions
- Personalized one-on-one training
- Live interactive online classes
After earning the Building Data Analytics Solutions Using Amazon Redshift Certification, you are eligible to apply for several roles in analytics and cloud engineering, like -
- Data Analyst
- Business Intelligence Developer
- Cloud Data Engineer
- Redshift Database Developer
- Analytics Solution Architect
Professionals need to fulfil the following eligibility requirements to enrol in the Building Data Analytics Solutions Using Amazon Redshift Training in UK -
- At least 1 year of experience managing data warehouses
- Completion of AWS Technical Essentials or Architecting on AWS
- Completion of the Building Data Lakes on AWS course
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