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Amazon Redshift Training Overview
Amazon Redshift Training Course Outline
The following module series is designed to provide quality training. Delegates will gain knowledge from bottom to top-level in data warehousing and understand cloud cluster and Amazon Redshift as well.
Module 1: Introduction to Amazon Redshift
- What is Amazon Redshift?
- Benefits
- Data Warehouse System Architecture
- Performance
- Columnar Storage
- Workload Management
Module 2: Automatic Table Optimisation
- Working with Column Compression
- Working with Data Distribution Styles
- Working with Sort Keys
- Table Constraints
Module 3: Loading and Unloading Data
- Update with DML
- Updating and Inserting
- Performing a Deep Copy
- Analyse and Vacuum Tables
- Manage Concurrent Write Operations
- Unload Data to Amazon S3 and Encrypted Data Files
- Unloading Data in Delimited or Fixed-Width Format
- Reloading Unloaded Data
Module 4: Create User Defined Functions and Stored Procedure
- UDF Security and Privileges
- Creating a Scalar SQL UDF, Python UDF, and Lambda UDF
- Stored Procedure Overview
Module 5: Sharing Data Across Clusters
- Data Sharing Overview
- Amazon Redshift Data Sharing
- Data Sharing Lifecycle
- Manage Permissions for Data Shares
- Cluster Management and Data Sharing
- Accessing Metadata for Data Shares
- AWS Data Exchange for Amazon Redshift
Module 6: Managing Database Security
- Amazon Redshift Security Overview
- Default Database User Privileges
- Superusers
- Role-based Access Control
Module 7: SQL Reference and Configuration Reference
- Amazon Redshift SQL
- SQL, SQL Commands, and Functions Reference
- Modify the Server Configuration
Who Should Attend the Amazon Redshift Training Course?
The Amazon Redshift Training Course is designed for individuals who want to master Amazon's data warehousing solution for analysing large datasets. This course will benefit the following professionals:
- Data Analysts
- Business Intelligence Professionals
- Data Engineers
- Data Scientists
- Database Administrators
- ETL Developers
- Cloud Architects
- Analytics Managers
Prerequisites of the Amazon Redshift Training Course
There are no formal prerequisites to attend the Amazon Redshift Training Course. However, a basic understanding of cloud computing and relational databases can be beneficial.
Amazon Redshift Training Course Overview
The Amazon always provides the quality products and services to the development environment as a cloud computing platform provider. Amazon presented the data warehouse technology as Amazon Redshift product. Technically, Amazon Redshift is a reliable, fast, fully managed petabyte-scale cloud-based data warehouse product, and it is continuously responding to the large-scale data migration. All these features of Amazon redshift help majority of organisations to grow fast and provide an excellent opportunity to get in an IT profession.
This 1-day course will teach delegates about Redshift fundamentals. From this training, delegates will learn about what is a data warehouse and Amazon redshift. Delegates will get an understanding of its architecture and features as well. This course also includes a data loading module, and delegates will gather knowledge of data distribution concepts and learn about troubleshooting strategies. During this course, delegates will also be introduced to data integration, analysis, and visualisation with Redshift.
On course completion, delegates will get a better understanding of Amazon Redshift and will be able to manage the data warehouse with Amazon Redshift and use it accordingly.
What’s included in this Amazon Redshift Training Course?
- World-Class Training Sessions from Experienced Instructors
- Amazon Redshift Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Amazon Redshift Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Unlock your potential with The Knowledge Academy's Amazon Redshift Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
What our customers are saying
Amazon Redshift Training FAQs
Amazon Redshift database is the relational database management system.
The Amazon Redshift is the fully managed, cloud-based, petabyte-scale data warehouse and provides administrative services like backup, replications and fall tolerance.
There are no formal prerequisites for this course.
This course is designed for IT professionals.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
Please arrive at the venue at 8:45am.
We are able to provide support via phone & email prior to attending, during and after the course.
The training fees for Amazon Redshift Training certification in Canada starts from CAD3395
The Knowledge Academy is the Leading global training provider for Amazon Redshift Training.
Please see our AWS Certification Training Courses courses available in Canada
Why choose us
Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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